Publications

Antibiotics · 1

Guilhaumou R, Chevrier C, Setti JL, et al.

Background: The aims of this study were to describe pharmacokinetic/pharmacodynamic target attainment in intensive care unit (ICU) patients treated with continuously infused ß-lactam antibiotics, their associated covariates, and the impact of dosage adjustment. Methods: This prospective, observational, cohort study was performed in three ICUs. Four ß-lactams were continuously infused, and therapeutic drug monitoring (TDM) was performed at days 1, 4, and 7. The primary pharmacokinetic/pharmacodynamic target was an unbound ß-lactam plasma concentration four times above the bacteria’s minimal inhibitory concentration during the whole dosing interval. The demographic and clinical covariates associated with target attainment were evaluated. Results: A total of 170 patients were included (426 blood samples). The percentages of empirical ß-lactam underdosing at D1 were 66% for cefepime, 43% for cefotaxime, 47% for ceftazidime, and 14% for meropenem. Indexed creatinine clearance was independently associated with treatment underdose if increased (adjusted odds ratio per unit, 1.01; 95% CI, 1.00 to 1.01; p = 0.014) or overdose if decreased (adjusted odds ratio per unit, 0.95; 95% CI, 0.94 to

Journal of Speech, Language, and Hearing Research · 1

Pesnot Lerousseau J, Denis M, Roman S, et al.

Purpose: Prelingual deaf children with cochlear implants show lower digit span test scores compared to normal-hearing peers, suggesting a working memory impairment. To pinpoint more precisely the subprocesses responsible for this impairment, we designed a sequence reproduction task with varying length (two to six stimuli), modality (auditory or visual), and compressibility (sequences with more or less regular patterns). Results on 22 school-age children with cochlear implants and 21 normal-hearing children revealed a deficit of children with cochlear implants only in the auditory modality. We observed no deficit in the visual modality and no deficit in the ability to detect and use regular patterns to improve memorization. Conclusion: These results suggest that the working memory deficit of children with cochlear implants is explained by an impairment in the processing, encoding, and/or storage of the auditory and lexical information, as opposed to a global storage deficit or an inability to use compressibility strategies to improve memorization. Supplemental Material: https://doi.org/10.23641/asha.28216088

Clinical Neurophysiology · 1

Aykan S, Laguitton V, Villalon SM, et al.

Neurophysiologie Clinique · 1

Köksal-Ersöz E, Makhalova J, Yochum M, et al.

Journal of Experimental Psychology: General · 1

Hoyer RS, Abdoun O, Riedinger M, et al.

L'étude montre que la distractibilité évolue au cours du développement en plusieurs composantes distinctes, mesurées par le test d'attention compétitive chez l'enfant et l'adulte.

Journal of Clinical Neurophysiology · 1

Fratello M, Pizzo F, Badier JM, et al.

Summary: Stereoelectroencephalography (SEEG) is a powerful technique for delineating the epileptogenic zone network in patients with drug-resistant epilepsy, providing direct access to both superficial and deep brain structures. However, its clinical value depends critically on the accurate interpretation of the recorded signals—which requires clear understanding of what we are actually recording, and what we are not. In this review, we examine the fundamental biophysical principles underlying SEEG signal generation, mainly the anatomical organization of brain structures and their distance from SEEG contacts. We address the types of epileptic patterns that SEEG can detect and how their interpretation depends on the referencing montage. Building on these concepts, we discuss the types of activity that may be missed or misrepresented. Finally, we explore emerging strategies to extend the field of view of SEEG electrodes. This review is intended both as an introduction for newcomers to the origin of SEEG signals and as an update for experienced users, reaffirming key concepts and presenting new methodological perspectives.

PLOS Computational Biology · 1

Dollomaja B, Wang HE, Guye M, et al.

Epilepsy is a prevalent brain disorder, characterized by sudden, abnormal brain activity, making it difficult to live with. One-third of people with epilepsy do not respond to anti-epileptic drugs. Drug-resistant epilepsy is treated with brain surgery. Successful surgical treatment relies on identifying brain regions responsible for seizure onset, known as epileptogenic zones (EZ). Despite various methods for EZ estimation, evaluating their efficacy remains challenging due to a lack of ground truth for empirical data. To address this, we generated and evaluated a cohort of 30 virtual epilepsy patients, using patient-specific anatomical and functional data from 30 real drug-resistant epilepsy patients. This personalized modeling approach, based on each patient’s brain data, is called a virtual brain twin. For each virtual patient, we provided data that included anatomically parcellated brain regions, structural connectivity, reconstructed intracranial electrodes, simulated brain activity at both the brain region and electrode levels, and key parameters of the virtual brain twin. These key parameters, which include the EZ hypothesis, serve as the ground truth for simulated brain acti

National Science Review · 1

Wang HE, Triebkorn P, Breyton M, et al.

Une synthèse sur les jumeaux cérébraux virtuels, de la recherche fondamentale aux usages cliniques de précision.

Nature Computational Science · 1

Wang HE, Dollomaja B, Triebkorn P, et al.

Abstract Estimating the epileptogenic zone network (EZN) is an important part of the diagnosis of drug-resistant focal epilepsy and has a pivotal role in treatment and intervention. Virtual brain twins provide a modeling method for personalized diagnosis and treatment. They integrate patient-specific brain topography with structural connectivity from anatomical neuroimaging such as magnetic resonance imaging, and dynamic activity from functional recordings such as electroencephalography (EEG) and stereo-EEG (SEEG). Seizures show rich spatial and temporal features in functional recordings, which can be exploited to estimate the EZN. Stimulation-induced seizures can provide important and complementary information. Here we consider invasive SEEG stimulation and non-invasive temporal interference stimulation as a complementary approach. This paper offers a high-resolution virtual brain twin framework for EZN diagnosis based on stimulation-induced seizures. It provides an important methodological and conceptual basis to make the transition from invasive to non-invasive diagnosis and treatment of drug-resistant focal epilepsy.

Brain Stimulation · 1

Jirsa V

Les jumeaux numériques du cerveau (virtual brain twins) comme outils de médecine de précision.

eLife · 1

Ziaeemehr A, Woodman M, Domide L, et al.

Network neuroscience has proven essential for understanding the principles and mechanisms underlying complex brain (dys)function and cognition. In this context, whole-brain network modeling—also known as virtual brain modeling—combines computational models of brain dynamics (placed at each network node) with individual brain imaging data (to coordinate and connect the nodes), advancing our understanding of the complex dynamics of the brain and its neurobiological underpinnings. However, there remains a critical need for automated model inversion tools to estimate control (bifurcation) parameters at large scales associated with neuroimaging modalities, given their varying spatio-temporal resolutions. This study aims to address this gap by introducing a flexible and integrative toolkit for efficient Bayesian inference on virtual brain models, called Virtual Brain Inference (VBI). This open-source toolkit provides fast simulations, taxonomy of feature extraction, efficient data storage and loading, and probabilistic machine learning algorithms, enabling biophysically interpretable inference from non-invasive and invasive recordings. Through in-silico testing, we demonstrate the accura

Journal of Open Source Software · 1

Ziaeemehr A, Domide L, Woodman M, et al.

European Journal of Neuroscience · 1

Pompili MN, Eckmier A, Todorova R, et al.

ABSTRACT Understanding the neural mechanisms underlying fear extinction is crucial for improving anxiety disorder treatments. Previous studies have shown that activity in the ventral hippocampus (vHPC) to prelimbic cortex (PL) pathway regulates conditioned fear towards discrete cues after extinction. However, its role in contextual fear was unclear. In this study, we used optogenetics in rats to selectively stimulate vHPC terminals in the PL, which in anaesthetized animals led to responses in approximately 12% of PL neurons. In freely behaving animals, stimulating vHPC–PL projections during baseline context exposure, prior to the presentation of any discrete cue in post‐extinction fear renewal tests, decreased contextual fear without affecting motricity or contextual fear immediately after conditioning. These results indicate that vHPC‐PL projections modulate contextual fear expression after extinction. While task‐specific features may contribute to the observed effect, our study fills a gap in understanding how the interaction between the vHPC and the mPFC regulates fear expression when contextual recall is followed by an extinction session.

Applied Sciences · 1

van der Vlag M, Kusch L, Destexhe A, et al.

Global neural dynamics emerge from multi-scale brain structures, with nodes dynamically communicating to form transient ensembles that may represent neural information. Neural activity can be measured empirically at scales spanning proteins and subcellular domains to neuronal assemblies or whole-brain networks connected through tracts, but it has remained challenging to bridge knowledge between empirically tractable scales. Multi-scale models of brain function have begun to directly link the emergence of global brain dynamics in conscious and unconscious brain states with microscopic changes at the level of cells. In particular, adaptive exponential integrate-and-fire (AdEx) mean-field models representing statistical properties of local populations of neurons have been connected following human tractography data to represent multi-scale neural phenomena in simulations using The Virtual Brain (TVB). While mean-field models can be run on personal computers for short simulations, or in parallel on high-performance computing (HPC) architectures for longer simulations and parameter scans, the computational burden remains red heavy and vast areas of the parameter space remain unexplored.

Frontiers in Psychology · 1

Thibault N, Grandjean A, Bernier MF, et al.

Introduction The Competitive Attention Test (CAT) assesses distractibility as a multidimensional construct derived from cognitive neuroscience models of attention, capturing voluntary and involuntary attentional processes and their underlying mechanisms using ecologically relevant stimuli. To validate its psychometric properties, we conducted two experiments examining construct-relevant reliability and validity evidence in a lifespan sample (ages 6–89). Methods Experiment 1 assessed internal consistency ( N = 520) and inter-rater reliability ( N = 114) of indices related to speed, variability, phasic arousal, and accuracy. Experiment 2 evaluated short-term test–retest reliability ( N = 79), convergent validity with established attention measures (TAP-M, KiTAP; n = 38), and divergent validity with respect to broader cognitive abilities assessed using Wechsler intelligence scales. Results Experiment 1 confirmed coherent clustering and examiner stability of the CAT indices. In Experiment 2, most indices showed temporal stability, meaningful associations with attention-specific constructs, and minimal overlap with reasoning abilities. Conclusion These findings support the CAT as a reli

Fundamental & Clinical Pharmacology · 1

Abbas Z, Lacroix C, Jouve E, et al.

ABSTRACT Background The objective of this study was to assess the prevalence of dependence and abuse of psychoactive substances (PAS) among prison inmates, using data from the OPPIDUM program between 2013 and 2022. Methods OPPIDUM is an annual, cross‐sectional national program, conducted among users consulting in specialised addiction centres. Prison inmates were questioned about their PAS use during the week preceding their incarceration. Two groups of participants were compared: prison inmates who reported simple use of PAS and those with abuse/dependence problems. Results A total of 2626 individuals responded to the program (men, 91.6%; mean age, 34.4 ± 9.30 years), reporting 5352 PAS. The main PAS consumed were cannabis (52.8%), cocaine/crack (28.6%), benzodiazepines (23.1%) and heroin (14.8%). Opioid substitution treatment (OST) was reported by 54.9% of participants. Several variables were associated with a significantly increased odds of abuse/dependence: intravenous use (OR, 4.608; 95% CI, 1.44–14.69; p = 0.01), PAS illegal acquisition (OR, 3.79; 95% CI, 2.19–6.58; p < 0.0001), heroin/speedball use (OR, 4.24; 95% CI, 1.16–15.48; p = 0.029) and cocaine/crack use (OR, 3.3;

Pediatric Blood & Cancer · 1

De Vanssay T, El Riachy N, Donze C, et al.

Advanced Science · 1

Martín I, Zamora‐López G, Fousek J, et al.

Abstract This study introduces TVB C++, a streamlined and fast C++ Back‐End for The Virtual Brain (TVB), a renowned platform and a benchmark tool for full‐brain simulation. TVB C++ is engineered with speed as a primary focus while retaining the flexibility and ease of use characteristic of the original TVB platform. Positioned as a complementary tool, TVB serves as a prototyping platform, whereas TVB C++ becomes indispensable when performance is paramount, particularly for large‐scale simulations and leveraging advanced computation facilities like supercomputers. Developed as a TVB‐compatible Back‐End, TVB C++ seamlessly integrates with the original TVB implementation, facilitating effortless usage. Users can easily configure TVB C++ to execute the same code as in TVB but with enhanced performance and parallelism capabilities. As a consequence, TVB C++ will enable the widespread use of individualized models that will open the possibility of designed tailored solutions at the individual patient level.

Médecine du Sommeil · 1

Massa JF, Youssef NE, Carron R, et al.

Fundamental & Clinical Pharmacology · 1

Caré W, Pinel S, Dufayet L, et al.

Abstract Aim To describe the symptoms, patient demographics, and trends over time of adverse drug reactions (ADRs) related to weak opioid analgesics reported to the French vigilance networks. Methods Retrospective study of data from French Poison Control Centers and Pharmacovigilance Centers databases of weak opioid analgesics‐related ADRs cases, with high causality score, in adults, in therapeutic analgesic use, without co‐exposure, between 2011 and 2020. Results The number of cases was 388 in the Poisonings database and 155 in the Pharmacovigilance database; ratio of the number of these cases to all reported cases during the study period was 0.02% and 0.03%, respectively. Tramadol was most often involved (74% and 56.1%, respectively), followed by codeine (26% and 38.7%, respectively). There was no significant variation in the number of cases reported. Cases most often involved young adults (median age: 40 years) and mostly women (76%). Gastrointestinal symptoms were mostly reported (80% and 65%, respectively) as described in the Summary of Products Characteristics. Patterns of ADRs were comparable in both databases, except for codeine‐associated acute pancreatitis and anaphylaxis

Therapies · 1

Mezaache S, Cutarella C, Frauger E, et al.

Epilepsia · 1

Kayabas MA, Köksal Ersöz E, Yochum M, et al.

Abstract Objective For the pre‐surgical evaluation of patients with drug‐resistant focal epilepsy, stereo‐electroencephalographic (SEEG) signals are routinely recorded to identify the epileptogenic zone network (EZN). This network consists of remote brain regions involved in seizure initiation. However, the pathophysiological mechanisms underlying typical SEEG patterns that occur during the transition from interictal to ictal activity in distant brain nodes of the EZN remain poorly understood. The primary aim is to identify and explain these mechanisms using a novel physiologically‐plausible model of the EZN. Methods We analyzed SEEG signals recorded from the EZN in 10 patients during the transition from interictal to ictal activity. This transition consisted of a sequence of periods during which SEEG signals from distant neocortical regions showed stereotypical patterns of activity: sustained preictal spiking activity preceding a fast activity occurring at seizure onset, followed by the ictal activity. Spectral content and non‐linear correlation of SEEG signals were analyzed. In addition, we developed a novel neuro‐inspired computational model consisting of bidirectionally coupled

Glia · 1

Mercier O, Quilichini PP, Magalon K, et al.

Dans un modèle murin de démyélinisation transitoire (cuprizone), la perte de myéline entraîne des troubles cognitifs à long terme, des altérations myéliniques et une synchronisation anormale des réseaux neuronaux.

Brain Stimulation · 1

Lévi-Strauss J, Makhalova J, Medina Villalon S, et al.

Journal of Psychopharmacology · 1

Lereclus A, Welzel J, Belzeaux R, et al.

Background: Treatment optimization is mandatory in psychiatric diseases and the use of population pharmacokinetics (popPK) models through model informed precision dosing (MIPD) has the potential to improve patient medical care. In this perspective, meta-modelling methods could provide popPK models with improved predictive performances and most of covariates of interest. The aims of this study were to develop meta-models of clozapine and lithium, assess their predictability and propose optimized dosing regimens for both drugs. Methods: Two popPK models for each drug were retained to develop the meta-models. For clozapine, the model with the best predictive performances and gender as a covariate and one with smoking status were retained. For lithium, the model with the best predictive performances and fat-free mass as covariate and one with glomerular filtration rate were retained. Results: Both meta-models showed improved predictability compared to the original models. Clozapine meta-model simulations allowed us to propose dosing regimen according to gender and smoking status. Steady-state doses ranged from 375 to 725 mg/day for clozapine once daily, and from 350 to 650 mg/day for c

First Language · 1

Gupta S, Mazzocconi C, Fourtassi A

Karadöller et al. discuss the role of multimodality in first language acquisition, emphasizing pointing and iconic gestures. While their focused approach provides a much-needed starting point, we argue that a more comprehensive perspective on multimodal language development should also consider two crucial dimensions: (1) a child-centered perspective that acknowledges the full spectrum of early multimodal behavior, and (2) an interactive perspective that recognizes language development as inherently social, shaped by dynamic caregiver–infant exchanges.

Epilepsia · 1

Baud MO, Bernard C, Frauscher B, et al.

Abstract Recurrent seizures, the hallmark of epilepsy, are influenced by rhythms operating over multiple timescales. Chronobiology is the study of biological timing that aims to explain temporal patterns of events like seizures. Fueled by recent advances in genetics, computational modeling, and device engineering, the chronobiology of epilepsy is now a burgeoning field poised to shed new light on mechanisms governing seizure recurrence. Although seizures were long believed to occur at random, epilepsy is now understood as a cyclical disorder, and time‐varying therapeutic interventions are increasingly possible. Yet, potential barriers to progress in this field exist, such as reconciling variable experimental methodology, deconvolving coexisting rhythms, and harnessing the power of new technologies and data sharing. In this report from the International League Against Epilepsy Task Force on Chronobiology, we review these knowledge gaps and offer recommendations to help close them. By unraveling mechanisms of seizure timing, chronobiology promises to usher in a new era of personalized epilepsy management in which seizures are viewed as predictable, potentially avoidable events.

npj Systems Biology and Applications · 1

Angiolelli M, Depannemaecker D, Agouram H, et al.

NeuroImage · 1

Jirsa VK, Proix T, Perdikis D, et al.

Article fondateur du Virtual Epileptic Patient et de la modélisation individualisée de la propagation des crises.

Frontiers in Neuroinformatics · 1

Marmaduke Woodman, Viktor Jirsa

Article fondateur du simulateur The Virtual Brain, aujourd’hui intégré à l’écosystème EBRAINS.

Frontiers in Neurology · 1

Feys O, Pizzo F, Makhalova J, et al.

This review explores the role of the thalamus in focal epilepsy, focusing on insights gained from stereoelectroencephalography (SEEG). The thalamus has recently regained attention as a crucial player in seizure dynamics. Thalamic SEEG recordings can be used to assess certain aspects of the thalamus’s role in human focal epilepsy, in particular the timing and dynamics of involvement of distinct thalamic nuclei during seizures and in interictal activity. Estimation of thalamic involvement in seizure propagation may be valuable before embarking on surgical resection and provide guidance for neuromodulation strategies. High thalamic epileptogenicity correlates with poorer surgical outcomes, making it a predictive biomarker. Deep brain stimulation (DBS), particularly targeting the anterior and pulvinar nuclei, has effectively reduced seizure frequency and improved consciousness during seizures. However, the effectiveness of DBS varies, emphasizing the need for individual targeting based on individual seizure dynamics. High-frequency thalamic stimulation can reduce seizure frequency and alter epileptogenic networks, offering tailored therapeutic approaches. Despite the potential added su

Imaging Neuroscience · 1

Neri M, Runfola C, Guilleminot P, et al.

En sEEG chez des patients épileptiques, les bouffées transitoires d'activité haut-gamma (avalanches neuronales) fournissent une description compacte de la dynamique cérébrale à grande échelle pendant l'écoute de parole et de musique.

Journal of Computational Neuroscience · 1

Gudibanda K, Fousek J, Petkoski S, et al.

Epileptic Disorders · 1

Bratu IF, Bartolomei F

Journal of Neuroscience · 1

Ferraris M, Ghestem A, Vicente AF, et al.

Le noyau reuniens orchestre la synchronisation gamma entre hippocampe et cortex préfrontal.

Therapeutic Advances in Neurological Disorders · 1

Pagliuca S, Jacquet C, Rubio MT, et al.

Chimeric antigen receptor T (CAR-T) cell therapy has transformed outcomes for relapsed/refractory B-cell malignancies and is increasingly reshaping the therapeutic landscape of autoimmune disorders and solid tumors, offering curative potential where options were previously limited. Its broader deployment is, however, constrained by immune-mediated toxicities, chiefly cytokine release syndrome (CRS) and immune effector cell-associated neurotoxicity syndrome (ICANS). ICANS spans a heterogeneous spectrum from mild aphasia and tremor to seizures, cerebral edema, coma, and death, and remains difficult to predict prospectively. As CAR-T platforms expand beyond CD19 malignancies, neurotoxicity phenotypes are also broadening beyond classical ICANS. In plasma cell dyscrasias, BCMA-directed CAR-T has been associated with delayed non-ICANS neurotoxicities, including movement and neurocognitive/behavioral symptoms, cranial nerve palsies, and peripheral neuropathic presentations. In parallel, early experiences with CAR-T and related immune effector therapies in autoimmune and neuroimmunologic diseases suggest distinct inflammatory contexts and potentially different neurotoxicity patterns, under

· 1

Aguilera M

La lumière au bout du tunnel : étude des altérations de la dynamique cérébrale aux stades précoces de la maladie d’Alzheimer et des effets bénéfiques d’un protocole de stimulations lumineuses dans le modèle murin AppNL-F/MAPT La maladie d’Alzheimer (MA), première cause de démence dans le monde, reste un défi majeur en raison de son diagnostic tardif et de l’absence de traitements efficaces. Alors que le diagnostic actuel repose sur la détection à travers des méthodes invasives de marqueurs pathologiques classiques tels que les plaques amyloïdes après l'apparition des symptômes cognitifs, de nombreuses études suggèrent que les changements pathologiques débutent des décennies avant ces manifestations cliniques. Le bon fonctionnement cérébral dépend d’une activité dynamique complexe, permettant des transitions flexibles entre différents réseaux fonctionnels. Ces dynamiques cérébrales, observables par EEG ou IRM fonctionnel, sont altérées dans plusieurs troubles neurologiques, dont la MA. Compte tenu de l’importance de la dynamique cérébrale pour les fonctions cognitives, une approche thérapeutique récente, appelée GENUS, utilise des stimulations sensorielles à 40 Hz pour moduler les o

Expert Review of Neurotherapeutics · 1

Carron R, Dibué M, Lagarde S, et al.

European Journal of Neurology · 1

Ciumas C, Perrin F, Sipp F, et al.

Présentation de la Human Intracerebral EEG Platform (HIP), un environnement cloud sécurisé et standardisé pour le partage et l'analyse des données d'EEG intracérébral, développé dans le cadre du Human Brain Project et d'EBRAINS.

Science Advances · 1

Giroud J, Trébuchon A, Mercier M, et al.

Des enregistrements intracrâniens montrent que le cortex auditif suit simultanément les échelles syllabique (thêta) et phonémique (alpha-bêta) du langage, via le flux spectral acoustique.

Biomechanics · 1

De Luca M, Minino R, Polverino A, et al.

Background/Objectives: Walking coordination is crucial for maintaining independence and quality of life, but it is significantly affected by aging and cognitive decline. This study investigates how age and cognitive status relate to lower limb coordination during gait, using a network-based analysis of joint kinematics. Methods: Fifty-six healthy participants (31–82 years old) underwent gait analysis with a stereophotogrammetric system and cognitive assessment through standardized neuropsychological tests. Kinematic data were processed to build “kinectomes”, representing the inter-joint coordination across the gait cycle. Results: The results showed that the mean lower limb coordination on the sagittal plane negatively correlated with age and positively with cognitive performance. Detailed analysis revealed that age-related declines in coordination were primarily driven by reduced synchronization at the knees, while cognitive status was associated with overall coordination rather than joint-specific changes. Conclusion: These findings emphasize the knees’ critical role in preserving gait coordination with aging and underline the involvement of cognitive aspects in global coordinati

Sensors · 1

Ambrosanio M, Troisi Lopez E, Polverino A, et al.

This study examined the stability of the functional connectome (FC) over time using fingerprint analysis in healthy subjects. Additionally, it investigated how a specific stressor, namely sleep deprivation, affects individuals’ differentiation. To this aim, 23 healthy young adults underwent magnetoencephalography (MEG) recording at three equally spaced time points within 24 h: 9 a.m., 9 p.m., and 9 a.m. of the following day after a night of sleep deprivation. The findings indicate that the differentiation was stable from morning to evening in all frequency bands, except in the delta band. However, after a night of sleep deprivation, the stability of the FCs was reduced. Consistent with this observation, the reduced differentiation following sleep deprivation was found to be negatively correlated with the effort perceived by participants in completing the cognitive task during sleep deprivation. This correlation suggests that individuals with less stable connectomes following sleep deprivation experienced greater difficulty in performing cognitive tasks, reflecting increased effort.

Imaging Neuroscience · 1

Amunts K, Axer M, Banerjee S, et al.

Abstract In recent years, brain research has indisputably entered a new epoch, driven by substantial methodological advances and digitally enabled data integration and modelling at multiple scales—from molecules to the whole brain. Major advances are emerging at the intersection of neuroscience with technology and computing. This new science of the brain combines high-quality research, data integration across multiple scales, a new culture of multidisciplinary large-scale collaboration, and translation into applications. As pioneered in Europe’s Human Brain Project (HBP), a systematic approach will be essential for meeting the coming decade’s pressing medical and technological challenges. The aims of this paper are to: develop a concept for the coming decade of digital brain research, discuss this new concept with the research community at large, identify points of convergence, and derive therefrom scientific common goals; provide a scientific framework for the current and future development of EBRAINS, a research infrastructure resulting from the HBP’s work; inform and engage stakeholders, funding organisations and research institutions regarding future digital brain research; ide

Brain · 1

Roehri N, Vulliemoz S, Lagarde S

Cerebral Cortex · 1

Jirsa V

Revue de trois décennies de cartographie statistique paramétrique et de son rôle dans l'inférence causale, jusqu'aux jumeaux numériques du cerveau (The Virtual Brain) construits à partir de données multimodales.

Epileptic Disorders · 1

Bratu IF, Trébuchon A, Bartolomei F

Abstract Objective The postictal state is a major yet underrecognized component of the epilepsy burden. We aimed to develop a structured patient‐reported instrument to quantify postictal recovery, characterize its multidimensional burden, and identify demographic, clinical, psychiatric, and treatment‐related factors associated with postictal severity and duration. Methods We conducted a prospective, single‐center observational cohort study (Timone Hospital, Marseille, February 2025–March 2026). Consecutive patients aged ≥15 years admitted for scalp or stereo‐EEG video‐monitoring were included. Patients completed the Postictal Recovery Scale (PRS), an 11‐domain questionnaire assessing fatigue, mood, sensory, motor, language, orientation, time perception, and postictal amnesia. Items were rated from 0 (severe impairment) to 3 (no symptoms), yielding a total score of 0–33. Internal consistency was assessed using Cronbach's alpha. Associations between PRS scores, subjective postictal duration and covariates were analyzed using group comparisons, correlations, and regression models. Results Of 107 enrolled patients, 96 were included. PRS showed good internal consistency (Cronbach's α =

Annals of the New York Academy of Sciences · 1

Denis M, Mazzocconi C, Da Fonseca D, et al.

ABSTRACT The predictive coding theory of autism suggests that individuals with autism may show atypicalities in how predictions are formed or updated. This may in turn affect how they process temporal information. While predictive coding has been widely applied to the study of language, including conversation, and music, including musical interactions, relatively few studies have explored the intersection of these domains in autism. Even fewer have focused on the role of temporal predictions in both language and music. This review examines studies that investigate temporal processing and predictive mechanisms in both music and language in individuals with autism spectrum disorder (ASD). Understanding these shared temporal mechanisms is crucial for providing a more comprehensive view of the underlying cognitive processes and difficulties in ASD. Furthermore, exploring the relationship between music and language from a temporal prediction perspective offers valuable insights into more ecologically valid and interactive settings, such as conversation and music‐making. Such research not only improves our understanding of autism but also has important implications for therapeutic interv

Neurology · 1

Usai ML, Bartolomei F, Bonini F

Healthcare · 1

Pinheiro C, Figueiredo J, Pereira T, et al.

Background/Objectives: Wearable technology is increasingly used to provide biofeedback in physical rehabilitation; however, there is no consensus on which biofeedback parameter is most appropriate for clinical use, as most studies evaluate only one arbitrarily selected parameter. This study presents a wearable multimodal biofeedback system integrating multiple parameters selected based on the prior literature and evaluates its feasibility, usability, and implementation within a rehabilitation context through a longitudinal post-stroke case study. Methods: The system integrates inertial and electromyographic sensors to monitor centre of mass (CoM-B), joint angle (ANG-B), and muscle activity (EMG-B), delivering real-time sensory cues based on the monitored parameters. Feasibility was assessed in a post-stroke participant (male, 32 years, 29 months post-stroke, left hemiparesis, Fugl-Meyer Lower Extremity Score = 27) across 15 sessions involving stand-to-sit, split-stance weight shifting, and walking tasks. Each task was practiced with all three biofeedback parameters, with five sessions per parameter. Results: The motor performance varied across biofeedback parameters and tasks. CoM-

Chaos: An Interdisciplinary Journal of Nonlinear Science · 1

Kusch L, Breyton M, Depannemaecker D, et al.

Synchronization is fundamental for information processing in oscillatory brain networks and is strongly affected by time delays via signal propagation along long fibers. Their effect, however, is less evident in spiking neural networks given the discrete nature of spikes. To bridge the gap between these different modeling approaches, we study the synchronization conditions, dynamics underlying synchronization, and the role of the delay of a two-dimensional network model composed of adaptive exponential integrate-and-fire neurons. Through parameter exploration of neuronal and network properties, we map the synchronization behavior as a function of unidirectional long-range connection and the microscopic network properties and demonstrate that the principal network behaviors comprise standing or traveling waves of activity and depend on noise strength, E/I balance, and voltage adaptation, which are modulated by the delay of the long-range connection. Our results show the interplay of micro- (single neuron properties), meso- (connectivity and composition of the neuronal network), and macroscopic (long-range connectivity) parameters for the emergent spatiotemporal activity of the brain

Epilepsia · 1

Gauld C, Bartolomei F, Micoulaud‐Franchi JA, et al.

Abstract Objective Prefrontal seizures pose significant challenges in accurately identifying the complex interactions between clinical manifestations and brain electrophysiological activities. This proof‐of‐concept study aims to propose a new approach to rigorously support electroclinical reasoning in the field of epilepsy. Methods We analyzed stereoelectroencephalographic data from 42 patients with drug‐resistant focal epilepsy, whose seizures involved prefrontal cortex at seizure onset. Semiological and brain activities features were scored by expert observers. We performed a symptom network analysis of semiological feature and a hybrid network analysis, coupling semiological features with network analysis of ictal brain activities. Centrality measures were used to identify the most influential features in the networks. Results Our analysis identified impairment of consciousness as the most central feature in the semiological network. In the hybrid network, the anterior cingulate area (here incorporating Brodmann area [BA]‐32 and/or rostral part of BA‐24) emerged as the most central brain activity feature. Significance By integrating semiological features with brain electrophysio

Scientific Reports · 1

Fousek J, Rabuffo G, Gudibanda K, et al.

Abstract Spontaneously fluctuating brain activity patterns that emerge at rest have been linked to the brain’s health and cognition. Despite detailed descriptions of the spatio-temporal brain patterns, our understanding of their generative mechanism is still incomplete. Using a combination of computational modeling and dynamical systems analysis we provide a mechanistic description of the formation of a resting state manifold via the network connectivity. We demonstrate that the symmetry breaking by the connectivity creates a characteristic flow on the manifold, which produces the major data features across scales and imaging modalities. These include spontaneous high-amplitude co-activations, neuronal cascades, spectral cortical gradients, multistability, and characteristic functional connectivity dynamics. When aggregated across cortical hierarchies, these match the profiles from empirical data. The understanding of the brain’s resting state manifold is fundamental for the construction of task-specific flows and manifolds used in theories of brain function. In addition, it shifts the focus from the single recordings towards the brain’s capacity to generate certain dynamics charac

Epilepsia · 1

Dellavale D, Bonini F, Pizzo F, et al.

Abstract Objective We studied the rate dynamics of interictal events occurring over fast‐ultradian time scales, as commonly examined in clinics to guide surgical planning in epilepsy. Methods Stereo‐electroencephalography (SEEG) traces of 35 patients with good surgical outcome (Engel I) were analyzed. For this we developed a general data mining method aimed at clustering the plethora of transient waveform shapes including interictal epileptiform discharges (IEDs) and assessed the temporal fluctuations in the capability of mapping the epileptogenic zone (EZ) of each type of event. Results We found that the fast‐ultradian dynamics of the IED rate may effectively impair the precision of EZ identification, and appear to occur spontaneously, that is, not triggered by or exclusively associated with a particular cognitive task, wakefulness, sleep, seizure occurrence, post‐ictal state, or antiepileptic drug withdrawal. Propagation of IEDs from the EZ to the propagation zone (PZ) could explain the observed fast‐ultradian fluctuations in a reduced fraction of the analyzed patients, suggesting that other factors like the excitability of the epileptogenic tissue could play a more relevant role

eLife · 1

te Rietmolen N, Mercier MR, Trébuchon A, et al.

La parole et la musique recrutent des réseaux corticaux distribués, spécifiques en fréquence et partiellement chevauchants.

Ear & Hearing · 1

Lyu B, Li Y, Albouy P, et al.

Objectives: Spectrotemporal acoustical markers enable humans to distinguish between speech and song across diverse cultures. Prior research revealed an asymmetric sensitivity in auditory processing: melody perception is more susceptible to spectral degradation, whereas speech sentence perception is more affected by temporal degradation. However, these findings have primarily been based on non-tonal languages, raising questions about how tonal languages, such as Mandarin, might influence these sensitivity patterns. This study investigates how Mandarin speakers process spectrotemporal features in speech and melody, addressing whether tonal language experience modulates the asymmetric spectrotemporal modulation sensitivity patterns observed in non-tonal languages. Design: Twenty-five Mandarin-speaking participants were recruited in the main experiment to discriminate speech or melody content of Mandarin songs under conditions of varying spectral or temporal degradation. An additional 25 participants in the control experiment listened to degraded hummed melodies or spoken sentences under similar degradation conditions. Results: Consistent with findings in non-tonal language speakers, M

Brain Sciences · 1

Barrit S, Torcida N, Mazeraud A, et al.

Background/Objectives: Artificial intelligence (AI), particularly large language models (LLMs), has demonstrated versatility in various applications but faces challenges in specialized domains like neurology. This study evaluates a specialized LLM’s capability and trustworthiness in complex neurological diagnosis, comparing its performance to neurologists in simulated clinical settings. Methods: We deployed GPT-4 Turbo (OpenAI, San Francisco, CA, US) through Neura (Sciense, New York, NY, US), an AI infrastructure with a dual-database architecture integrating “long-term memory” and “short-term memory” components on a curated neurological corpus. Five representative clinical scenarios were presented to 13 neurologists and the AI system. Participants formulated differential diagnoses based on initial presentations, followed by definitive diagnoses after receiving conclusive clinical information. Two senior academic neurologists blindly evaluated all responses, while an independent investigator assessed the verifiability of AI-generated information. Results: AI achieved a significantly higher normalized score (86.17%) compared to neurologists (55.11%, p < 0.001). For differential di

eLife · 1

Breyton M, Fousek J, Rabuffo G, et al.

Signatures of consciousness are found in spectral and temporal properties of neuronal activity. Among these, spatiotemporal complexity after a perturbation has recently emerged as a robust metric to infer levels of consciousness. Perturbation paradigms remain, however, difficult to perform routinely. To discover alternative paradigms and metrics, we systematically explore brain stimulation and resting-state activity in a whole-brain model. We find that perturbational complexity only occurs when the brain model operates within a specific dynamical regime, in which spontaneous activity produces a large degree of functional network reorganizations referred to as being fluid. The regime of high brain fluidity is characterized by a small battery of metrics drawn from dynamical systems theory and predicts the impact of consciousness-altering drugs (Xenon, Propofol, and Ketamine). We validate the predictions in a cohort of 15 subjects at various stages of consciousness and demonstrate their agreement with previously reported perturbational complexity, but in a more accessible paradigm. Beyond the facilitation in clinical use, the metrics highlight complexity properties of brain dynamics i

Network Neuroscience · 1

de Wouters L, Lagarde S, Van De Ville D, et al.

Abstract Graph signal processing (GSP) enables studying brain structure–function coupling by examining how functional signals vary on the structural connectome (SC). While traditionally used with fMRI, GSP applied to electroencephalography (EEG) is gaining interest due to EEG’s repertoire of brain activities and higher temporal resolution. To this aim, source activities are reconstructed through electrical source imaging (ESI), summarized into parcellated time series via singular value decomposition (SVD), and analyzed using graph Fourier transform based on SC Laplacian’s eigenvectors. This study investigates two methodological biases: SVD polarity ambiguity and ESI spatial leakage. Using simulated epileptic spikes, we validated a method to resolve SVD sign ambiguity and tested it on real interictal epileptogenic discharges. We then quantified the leakage effect on simulation, by comparing graph power spectra between ground truth and its ESI reconstruction, across inverse solutions (exact low-resolution electrical tomography [eLORETA], vs. linear constraint minimal variance) conditions (baseline vs. spike), and connectomes (structural vs. Euclidean distance-based [EC]). We found th

Brain · 1

Lagarde S, Bartolomei F

This scientific commentary refers to ‘The interictal suppression hypothesis is the dominant differentiator of seizure onset zones in focal epilepsy’ by Doss et al. (https://doi.org/10.1093/brain/awae189).

Stroke · 1

Lemale CL, Serna-Higuita LM, Balança B, et al.

BACKGROUND: Overall, 75% of patients with acute stroke have elevated mean arterial pressure (MAP). In randomized stroke trials, the indirect NO donor glyceryl trinitrate lowered MAP but improved neither regional cerebral blood flow (rCBF) nor functional outcomes. One probable reason is that the microcirculation cannot bioactivate glyceryl trinitrate. In contrast, the direct NO donor 3-morpholinosydnonimine (SIN-1), not requiring bioactivation, should also release NO in small vessels, where it supports eNOS (endothelial NO synthase)–derived NO in maintaining rCBF in the hypotensive portion of Lassen autoregulatory curve. In a meta-analysis, SIN-1 reduced infarct volume in ischemia models, but the effects of SIN-1 on early pathophysiology are unknown. METHODS: Here, we investigated SIN-1 during a 60-minute bilateral common carotid artery occlusion and reperfusion in forty-eight 12- to 14-week-old Wistar-Kyoto rat (WKY) controls and 48 stroke-prone spontaneously hypertensive rats. We calculated the difference between the median values of each variable in the last 5 minutes of bilateral common carotid artery occlusion and baseline and compared them between treatment (SIN-1/control) and

Journal of Neuroscience Methods · 1

Pigorini A, Avanzini P, Barborica A, et al.

Machine Learning: Science and Technology · 1

Hashemi M, Ziaeemehr A, Woodman MM, et al.

Abstract Connectome-based models, also known as virtual brain models (VBMs), have been well established in network neuroscience to investigate pathophysiological causes underlying a large range of brain diseases. The integration of an individual’s brain imaging data in VBMs has improved patient-specific predictivity, although Bayesian estimation of spatially distributed parameters remains challenging even with state-of-the-art Monte Carlo sampling. VBMs imply latent nonlinear state space models driven by noise and network input, necessitating advanced probabilistic machine learning techniques for widely applicable Bayesian estimation. Here we present simulation-based inference on VBMs (SBI-VBMs), and demonstrate that training deep neural networks on both spatio-temporal and functional features allows for accurate estimation of generative parameters in brain disorders. The systematic use of brain stimulation provides an effective remedy for the non-identifiability issue in estimating the degradation limited to smaller subset of connections. By prioritizing model structure over data, we show that the hierarchical structure in SBI-VBMs renders the inference more effective, precise and

Communications Biology · 1

Triebkorn P, Jirsa V, Dominey PF

Des modèles de réseau cérébral à grande échelle montrent comment la connectivité de la substance blanche façonne les échelles temporelles du traitement de l'information dans le cerveau.

International Journal of Language & Communication Disorders · 1

Hidalgo C, Zielinski C, Chen S, et al.

Abstract Background Perceptual and speech production abilities of children with cochlear implants (CIs) are usually tested by word and sentence repetition or naming tests. However, these tests are quite far apart from daily life linguistic contexts. Aim Here, we describe a way of investigating the link between language comprehension and anticipatory verbal behaviour promoting the use of more complex listening situations. Methods and Procedure The setup consists in watching the audio‐visual dialogue of two actors. Children's gaze switches from one speaker to the other serve as a proxy of their prediction abilities. Moreover, to better understand the basis and the impact of anticipatory behaviour, we also measured children's ability to understand the dialogue content, their speech perception and memory skills as well as their rhythmic skills, that also require temporal predictions. Importantly, we compared children with CI performances with those of an age‐matched group of children with normal hearing (NH). Outcomes and Results While children with CI revealed poorer speech perception and verbal working memory abilities than NH children, there was no difference in gaze anticipatory be

Cerebral Cortex · 1

Dmitrieva X, Anton JL, Fairs A, et al.

Abstract In this functional magnetic resonance imaging study, we investigated whether language production and understanding recruit similar phoneme-specific networks. We did so by comparing the brain’s response to different phoneme categories in minimal pairs: Bilabial-initial words (eg “monkey”) were contrasted to alveolar-initial words (eg “donkey”) in 37 participants performing both language production and comprehension tasks. Individual-specific region-of-interest analyses showed that the same sensorimotor networks were activated across the language modalities. In motor regions, word production and comprehension elicited the same phoneme-specific topographical activity patterns, with stronger haemodynamic activations for alveolar-initial words in the tongue cortex and stronger activations for bilabial-initial words in the lip cortex. In the posterior and middle superior temporal cortex, production and comprehension likewise resulted in similar activity patterns, with enhanced activations to alveolar- compared to bilabial-initial words. These results disagree with the classical asymmetry between language production and understanding in neurobiological models of language, and ins

Neuropsychologia · 1

Dufau S, Yeaton J, Badier JM, et al.

Proceedings of the National Academy of Sciences · 1

Benjamin L, Morillon B, Wyart V

Trois formes d'inférence sur des séquences sensorielles rythmiques ne sont pas indépendantes : l'intégration sensorielle, la prédiction temporelle et la découverte de règles interagissent de façon sélective chez l'humain.

Sensors · 1

Pinheiro C, Abreu L, Figueiredo J, et al.

This study aims to evaluate multiple feature sets composed of sensor-based biomarkers acquired during walking for the automated estimation of post-stroke motor impairment levels using Fugl-Meyer Lower Extremity Assessment (FMA-LE)-derived classes. Sensor-based walking data from the open-source ARRA dataset were combined with data collected at the Hospital of Braga. Data from 32 post-stroke individuals (FMA-LE motor score: 24 ± 3) were included. A decision tree classifier was evaluated using stratified six-fold cross-validation across different feature sets, including: correlated with motor impairment levels versus full feature sets; spatiotemporal versus surface electromyographic (sEMG) features; inclusion of demographic variables; and the use of data augmentation. The best performance was achieved using correlated sEMG features combined with age, paretic side, and body mass, along with noise-based data augmentation, yielding a validation Matthews Correlation Coefficient (MCC) of 0.85 ± 0.16 and a test MCC of 0.70. sEMG features provided improved classification performance compared to spatiotemporal features, and comparable results were obtained using a reduced subset of muscles. T

eLife · 1

Levy O, Libman Hackmon S, Zvilichovsky Y, et al.

Une plateforme de réalité virtuelle reproduisant une salle de classe révèle, via EEG, suivi oculaire et conductance cutanée, des réponses neuronales accrues aux distractions chez les personnes avec TDA(H).

Epileptic Disorders · 1

Puteikis K, Marzouk B, Bartolomei F, et al.

Journal of Open Source Software · 1

Chinara C, Cassani R, Medani T, et al.

Journal of Neuroscience Methods · 1

Jedynak M, Boyer A, Mercier M, et al.

Epilepsia · 1

Roehri N, De Stefano P, Spinelli L, et al.

Abstract Objective Interictal epileptiform discharges (IEDs) observed on scalp electroencephalography (EEG) serve as a diagnostic hallmark of epilepsy. However, only a small fraction of IEDs recorded by intracranial EEG (iEEG) are detectable on the scalp; the vast majority remain invisible on scalp recordings. Nevertheless, epilepsy is associated with important brain network alterations and cognitive symptoms between seizures. Our study aims to investigate the impact of these scalp‐negative IEDs on the whole‐brain network, particularly those produced in medial temporal regions, given their consistent involvement across patients, their potential implications in cognitive deficit, and their relevance in both epilepsy and Alzheimer disease. To achieve this, we leveraged simultaneous iEEG and high‐density EEG (hdEEG) recordings. Methods We analyzed IEDs occurring solely in the medial temporal regions, not visible on the scalp, in nine patients with drug‐resistant epilepsy during simultaneous iEEG‐hdEEG recordings. These scalp‐negative IEDs were compared to epochs without any epileptic activity recorded in either modality. Spectral and network characteristics were investigated at the re

2024 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC) · 1

Pimenta M, Pinheiro C, Santos C

Imaging Neuroscience · 1

Wang S, Dubarry AS, Chanoine V, et al.

Abstract Reading relies on the ability to map written symbols with speech sounds. A specific part of the left ventral occipitotemporal cortex, known as the Visual Word Form Area (VWFA), plays a crucial role in this process. Through the automatization of the mapping ability, this area progressively becomes specialized in written word recognition. Yet, despite its key role in reading, the area also responds to speech. This observation raises questions about the actual nature of neural representations encoded in the VWFA and, therefore, the underlying mechanism of the cross-modal responses. Here, we addressed this issue by applying fine-grained analyses of within- and cross-modal repetition suppression effects (RSEs) and Multi-Voxel Pattern Analyses in fMRI and sEEG experiments. Convergent evidence across analysis methods and protocols showed significant RSEs and successful decoding in both within-modal visual and auditory conditions, suggesting that populations of neurons within the VWFA distinctively encode written and spoken language. This functional organization of neural populations enables the area to respond to both written and spoken inputs. The finding opens further discussio

Nature Mental Health · 1

Stahl BC, Ogoh G, Schumann G, et al.

Neuroimmune Diseases · 1

Lagarde S, Villeneuve N, Bartolomei F

Epileptic Disorders · 1

Feys O, Makhalova J, Manners T, et al.

Abstract This case study reports the first documented use of stereoelectroencephalography (SEEG)‐guided radiofrequency thermocoagulation (RFTC) to treat refractory status epilepticus (RSE). A 33‐year‐old woman with drug‐resistant epilepsy and recurrent RSE underwent SEEG to define her epileptogenic zone. A new RSE started shortly before and continued during the SEEG exploration, being unresponsive to multiple antiseizure medications, vagal nerve stimulation, and corticosteroid therapy. SEEG‐signal quantification based on ictal biomarkers, that is, epileptogenicity index and connectivity epileptogenicity index, identified the epileptogenic zone network (EZN) within the mesial prefrontal, premotor, and parietal cortex, with major implication of the anterior‐middle and posterior cingulate cortex. RFTC was performed on SEEG‐identified targets within the EZN and resulted in rapid cessation of electroclinical seizure activity and full recovery from motor deficits. Seizure frequency remained reduced by over 90% at 4 months post‐procedure. This case highlights the potential of RFTC as a possible therapeutic option for RSE by directly disrupting critical network nodes responsible for seizur

Therapies · 1

Frauger E, Jouve E, Mezaache S, et al.

British Journal of Clinical Pharmacology · 1

Soeiro T, Lacroix C, Jouve E, et al.

Aims To identify the patterns and trends in prescription drug use and misuse in patients on opioid agonist treatment. Methods We used data from the OPPIDUM programme, which collects data from patients attending substance abuse treatment facilities. Data collected include use of psychoactive prescription drugs in the past week. In this cross‐sectional study, we included patients aged at least 18 years, on opioid agonist treatment and reporting psychoactive prescription drug use in the past week from 2014 to 2023. The outcome was psychoactive prescription drug misuse (i.e., abuse and/or dependence, illegal acquisition and diverted route of administration) in the past week. We conducted disproportionality analyses to identify prescription drugs associated with misuse. We calculated the prevalence of use and misuse for each prescription drug to estimate trends. Results We included 9631 patients. Misuse was disproportionately reported for morphine (e.g., diverted route of administration: n = 580; reporting odds ratio: 224.4 [95% confidence interval: 178.8, 281.7]), methylphenidate (e.g., diverted route of administration: 149; 31.6 [24.1, 41.4]), oxycodone (e.g., diverted route of admini

Epilepsy & Behavior · 1

Bregianni M, Pizzo F, Lagarde S, et al.

Nature Mental Health · 1

Liang C, Yuan J, Zhang R, et al.

Communications Biology · 1

Esmaeili A, Demolliens M, Viersen M, et al.

NeuroImage · 1

Trebaul L, Deman P, Tuyisenge V, et al.

Atlas de tractographie fonctionnelle probabiliste construit à partir de stimulations intracérébrales.

La Presse Médicale Formation · 1

Lagarde S, Bartolomei F

IEEE Reviews in Biomedical Engineering · 1

Hashemi M, Depannemaecker D, Saggio M, et al.

Therapies · 1

Soc Foh AC, Mezaache S, Turlure F, et al.

Therapies · 1

Chan Soc Foh A, Mezaache S, Turlure F, et al.

Brain Topography · 1

Inbar TC, Badier JM, Bénar C, et al.

Epilepsia Open · 1

Schwartz D, Badier JM, Gutteling TP, et al.

Abstract Objectives Conventional magnetoencephalography (MEG) based on superconducting quantum interference devices sensors (SQUIDs) is the only widely used MEG system in both clinical and research settings. However, it has limitations that hinder its widespread deployment. Optically pumped magnetometers (OPMs) offer several advantages over SQUIDs, particularly for epilepsy studies: lightweight and flexible, OPMs can be integrated into adaptable motion‐tolerant headsets, enabling recordings during seizures or natural head movements, and potentially enhancing the detection of interictal epileptiform discharges (IEDs). In the present study, we assess the capabilities of a 5‐sensor MEG system with helium OPMs ( 4 He‐OPMs) in detecting IEDs. Methods First, we compare the performance of SQUID‐MEG and 4 He‐OPM‐MEG in a group of 7 patients. Second, we perform combined intra‐cerebral (SEEG) 4 He‐OPM‐MEG and SQUID‐MEG recordings in a single patient to demonstrate the ability of both systems to detect IEDs originating from deep brain structures. Results The key finding is that both the SQUID‐MEG and the 4 He‐OPM‐MEG prototype, with a very limited number of sensors, successfully captured inte

Epileptic Disorders · 1

Bratu IF, Carron R, Makhalova J, et al.

Abstract Epilepsy surgery remains the most effective treatment for focal drug‐resistant epilepsy, and stereoelectroencephalography (SEEG) is increasingly used to define the epileptogenic‐zone network (EZN) and guide curative or palliative interventions. While SEEG is considered a safe invasive procedure, adverse events arising during monitoring itself are rarely described. We report three exceptional cases of postictal self‐removal of intracerebral electrodes during SEEG monitoring. Among 591 implanted patients between January 2000 and October 2025 at Timone Hospital, Marseille, three patients (0.5%) met the inclusion criteria. All were young right‐handed men with normal neurocognitive development, focal drug‐resistant epilepsy and no psychiatric comorbidity. Self‐removal occurred during the postictal phase of spontaneous seizures—two following focal‐to‐bilateral tonic–clonic seizures and one after a focal impaired‐awareness seizure—on the second day of monitoring under complete or partial antiseizure medication withdrawal. Postictal behavior was characterized by agitation, wandering, and, in two cases, resistive aggression when nursing staff attempted to intervene. None of the pat

Epileptic Disorders · 1

Dhoisne M, Carron R, Bartolomei F, et al.

Clinical Pharmacokinetics · 1

Zbib F, Deschamps A, Velly L, et al.

Pratique Neurologique - FMC · 1

Benoit J, Bartolomei F

Expert Review of Clinical Pharmacology · 1

Lapeyre-Mestre M, Micallef J, Hacquet R, et al.

The Journal of Neuroscience · 1

Clawson W, Waked B, Madec T, et al.

Dans un modèle d'épilepsie expérimentale chez le rat, le stockage et le partage d'information sont altérés de façon permanente dans l'hippocampe et le cortex entorhinal, indépendamment des crises.

Epilepsia Open · 1

Bartolomei F, Daoud M, Delourme M, et al.

Abstract Objective To evaluate the effects of personalized multichannel tDCS on seizure frequency, severity, quality of life, and psychiatric comorbidities in patients with drug‐resistant focal epilepsy. Secondary goals include assessing the safety and feasibility of this approach. Methods This open‐label pilot study involved 16 patients with drug‐resistant focal epilepsy. Patients underwent 3 cycles of personalized multichannel tDCS over 6 months, targeting the EZ defined by stereoelectroencephalography (SEEG). Each cycle consisted of five consecutive days of tDCS, with two daily sessions of 20 min each. The primary endpoint was a reduction in seizure frequency, with secondary endpoints addressing quality of life (QOLIE‐31 scores), seizure severity (NHS3 scores), and psychiatric comorbidities (NDDI‐E and GAD‐7 scales). Results Across all participants, a statistically significant 20% reduction in seizure frequency was observed ( p = 0.044). Six patients (37%) were identified as responders (≥50% seizure reduction), with one achieving seizure freedom. The mean seizure reduction among responders was 68%. Significant improvements were noted in overall quality of life (QOLIE‐31, p = 0.0

The Lancet Neurology · 1

Jirsa V, Wang H, Triebkorn P, et al.

Une revue de référence sur les modèles cérébraux personnalisés appliqués à l’épilepsie.

Journal of Neurology · 1

Benoit J, Medina Villalon S, Lagarde S, et al.

CNS Drugs · 1

Garnier C, Schein M, Lacroix C, et al.

PLOS Computational Biology · 1

Penas DR, Hashemi M, Jirsa VK, et al.

The Virtual Epileptic Patient (VEP) refers to a computer-based representation of a patient with epilepsy that combines personalized anatomical data with dynamical models of abnormal brain activities. It is capable of generating spatio-temporal seizure patterns that resemble those recorded with invasive methods such as stereoelectro EEG data, allowing for the evaluation of clinical hypotheses before planning surgery. This study highlights the effectiveness of calibrating VEP models using a global optimization approach. The approach utilizes SaCeSS, a cooperative metaheuristic algorithm capable of parallel computation, to yield high-quality solutions without requiring excessive computational time. Through extensive benchmarking on synthetic data, our proposal successfully solved a set of different configurations of VEP models, demonstrating better scalability and superior performance against other parallel solvers. These results were further enhanced using a Bayesian optimization framework for hyperparameter tuning, with significant gains in terms of both accuracy and computational cost. Additionally, we added a scalable uncertainty quantification phase after model calibration, and u

Medicine · 1

Krim E, Masri A, Delmont E, et al.

Rationale: Locked-in syndrome (and its variant, completely locked-in state) generally has a high mortality rate in the acute setting; however, when induced by conditions such as acute inflammatory polyradiculoneuropathy, it may well be curable such that an attempt at cure should be systematically sought by clinicians. Patient concerns: A 52-year-old man presented with acute tetraparesia and areflexia, initially diagnosed as Guillain–Barré syndrome. Despite appropriate treatment, his condition deteriorated, evolving into a completely locked-in state. Diagnoses: The detection of anti-pan-neurofascin antibodies led to the correct diagnosis, acute pan-neurofascin autoimmune nodoparanodopathy. Interventions: Immunosuppressive treatment (rituximab) and plasma exchanges were performed. Outcomes: After several months, the patient’s neurological symptoms almost completely subsided, without any major sequelae. Lessons: In patients with locked-in syndrome (or its variant), neurologists and intensive care physicians must be aware of, and look for, the main etiologies (including pan-neurofascin autoimmune nodoparanodopathy), to allow the prompt initiation of treatment and thus a rapid recovery

Clinical Neurophysiology · 1

Bratu IF, Bénar C, Villalon SM, et al.

IRBM · 1

Cardoso M, Pinheiro C, Gonçalves HR, et al.

Annals of Clinical and Translational Neurology · 1

Mourre H, Makhalova J, Soncin L, et al.

ABSTRACT Objective Amygdala enlargement has been the subject of controversial studies regarding its significance in terms of pathogenicity both in epilepsy and in psychiatric comorbidities such as anxiety, depression, and post‐traumatic stress disorder. However, no causal link has been established in either direction, and the role of distinct amygdala nuclei remains unknown. We investigated volumetric changes of the amygdala and its nine main nuclei and their associations with psychiatric comorbidities in patients with drug‐resistant focal epilepsy. Methods Eighty‐seven adult patients with drug‐resistant focal epilepsy, available 7 T MRI, and completed standardized psychiatric assessments were included. Whole amygdala and nuclei volumes were quantified and compared to healthy controls. Correlations between the amygdala or nuclei volumes and psychiatric scores were analyzed, as well as the prevalence and severity of each comorbidity depending on the presence of enlargement. Results Amygdala enlargement was present in 41% of patients, with bilateral enlargement observed in 30% of these cases, while atrophy was noted in 2%. Bilateral enlargement correlated with higher posttraumatic st

Imaging Neuroscience · 1

Zuo Y, Alhaddad G, López-Madrona VJ, et al.

Abstract Many literate adults master two writing systems: a phenomenon termed biscriptuality. Biscriptuals do not just juggle two scripts—their graphomotor coordination also generally outperforms that of monoscriptuals, suggesting that some components of their motor system have been optimized. To uncover the neurocognitive foundations of this biscriptual advantage, we synchronized a loop-tracing task on a digitizing tablet with electroencephalographical (EEG) recordings. Theta (4–7 Hz) and beta (13–30 Hz) oscillatory dynamics were analyzed to test whether biscriptuals display better optimized planning and monitoring, and/or better sensorimotor control. At the behavioral level, biscriptuals displayed a robust advantage in tracing frequency and stability compared to monoscriptuals. At the neural level, biscriptuals showed lower frontal theta power than monoscriptuals, with frontal theta power positively correlated with behavioral variability. Optimization of predictive inference mediated by midfrontal theta oscillations thus stands out as a hallmark of the biscriptual advantage. Biscriptuals also displayed a lower degree of beta synchronization over parieto-occipital electrodes than

Imaging Neuroscience · 1

Mannino C, Sorrentino P, Chavez M, et al.

Abstract Motor imagery-based Brain-Computer Interfaces (BCIs) restore control in persons with motor impairments, but up to 30% of users struggle, a phenomenon known as “BCI inefficiency”. This study tackles a key limitation of current protocol: the use of fixed-length sessions training paradigms that ignore individual learning variability. We propose a novel approach based on neuronal avalanches, spatiotemporal cascades of brain activities, as biomarkers to characterize and predict user-specific learning. From electroencephalography data across four sessions in 20 subjects, we characterized avalanches by their length and their spatiotemporal size. These features showed significant training and task effects and were found to correlate to BCI performance across sessions. We further assessed their ability to predict BCI success through longitudinal models, achieving up to 91% accuracy, improved by spatial filtering on selected brain regions. These findings demonstrate the utility of neuronal avalanche dynamics as robust biomarkers for BCI training, supporting the development of personalized protocols aimed at mitigating BCI illiteracy.

Neuroscience Applied · 1

Duprat C, Triebkorn JP, Dollomaja B, et al.

Revue Neurologique · 1

Marchi A, Guex R, Denis M, et al.

Science Advances · 1

Zalta A, Large EW, Schön D, et al.

En MEG, la dynamique motrice reflète le timing prédictif pendant l'écoute musicale : l'activité à 2 Hz liée au tempo et les rythmes delta et bêta de la voie auditive dorsale codent la prédiction rythmique.

Journal of Neurology · 1

Zalta A, Trébuchon A, Daquin G, et al.

Journal of Cognitive Neuroscience · 1

Berthault E, Chen S, Kotz SA, et al.

Abstract Timing and prediction are fundamental components of conversational dynamics, particularly in the estimation of turn-taking. While neural markers of predictive processing have been proposed in comprehension, their counterparts in speech production remain less well understood. In this study, we investigated these mechanisms using a combined EEG and behavioral approach with an oral sentence completion task. Participants viewed images that prompted them to produce a word completing a subsequently heard sentence. We systematically manipulated sentence repetition, length, and cloze probability to assess their effects on speech production timing and associated neural activity, focusing specifically on the readiness potential (RP) as an index of motor preparation. Our findings revealed that high-cloze-probability sentences elicited faster RTs, but only when participants had not yet formed predictions and when the sentences were relatively short. These faster RTs were also associated with a different RP amplitude. Moreover, RP dynamics were predictive of speech onset, suggesting that motor preparation plays an active role in response timing. Together, these results support a predic

Médecine du Sommeil · 1

Ricci V, Testud B, Dary H, et al.

Annals of the New York Academy of Sciences · 1

Wang J, Zhang Y, Van Cang MP, et al.

ABSTRACT Speech and music both unfold over time. However, these dynamics are perceived quite differently: music as rhythmic, and speech as quasi‐rhythmic. Here, we aim to identify whether this distinction between rhythm and quasi‐rhythm is sourced from the raw acoustic waveform by analyzing the modulation spectrum of the acoustic envelope. We analyzed several large corpora on three scales: the coarsest scale containing recordings of each corpus, the intermediate scale of individual speakers/songs, and the finest scale of individual sentences or short musical segments. We confirm previous findings that speech and music modulation spectra differ in their center frequency, which reflects how quickly the sound envelope fluctuates, but find that the modulation bandwidth, which captures how periodic the speech/music envelope was, is comparable for music and speech. Furthermore, the bandwidth is largely preserved across the three scales, indicating that the corpus‐level temporal irregularity is dominated by the irregularity within a few seconds of speech/music recordings. These results demonstrate that the perceived rhythmicity of music may not directly reflect the temporal periodicity pr

Frontiers in Neuroinformatics · 1

Kusch L, Diaz-Pier S, Klijn W, et al.

Integration of information across heterogeneous sources creates added scientific value. Interoperability of data, tools and models is, however, difficult to accomplish across spatial and temporal scales. Here we introduce the toolbox Parallel Co-Simulation, which enables the interoperation of simulators operating at different scales. We provide a software science co-design pattern and illustrate its functioning along a neuroscience example, in which individual regions of interest are simulated on the cellular level allowing us to study detailed mechanisms, while the remaining network is efficiently simulated on the population level. A workflow is illustrated for the use case of The Virtual Brain and NEST, in which the CA1 region of the cellular-level hippocampus of the mouse is embedded into a full brain network involving micro and macro electrode recordings. This new tool allows integrating knowledge across scales in the same simulation framework and validating them against multiscale experiments, thereby largely widening the explanatory power of computational models.

Human Brain Mapping · 1

Haast RAM, Testud B, Makhalova J, et al.

Une étude IRM 7T des altérations structurelles du thalamus et des ganglions de la base dans l’épilepsie focale.

Nature Mental Health · 1

Desrivières S, Miller A, Mathey CM, et al.

Proceedings of the Royal Society B: Biological Sciences · 1

te Rietmolen N, Strijkers K, Morillon B

Trois expériences comportementales montrent que bouger en rythme au débit lexical (~1,8 Hz) améliore la perception de la parole naturelle dans le bruit, plus qu'à d'autres rythmes.

Therapies · 1

Lacroix C, Frauger E, Jouve E, et al.

Epileptic Disorders · 1

Bratu IF, El Youssef N, Lagarde S, et al.

Abstract Background Loss of consciousness/awareness during temporal lobe seizures significantly affects quality of life and is closely linked to pathological thalamocortical synchronization and loss of cortical signal complexity. The medial pulvinar nucleus (PUM) contributes to seizure propagation and awareness impairment, making it a potential target for neuromodulation. Acute high‐frequency PUM stimulation has previously been shown to reduce seizure severity and improve awareness, potentially by disrupting excessive synchrony. Aims In this study, we investigated the effects of PUM stimulation on signal complexity and its relationship to ictal awareness using permutation entropy (PE) in SEEG recordings. Materials and methods Eight patients with focal drug‐resistant temporal epilepsy underwent hippocampus‐induced seizures with and without additional high‐frequency PUM stimulation. SEEG complexity changes were quantified using PE and ictal awareness was assessed using the Consciousness Seizure Scale (CSS). Results Our results showed that PUM stimulation attenuated entropy reductions during seizures, suggesting a preservation of neural complexity. Moreover, reduced entropy alteration

Physical Review E · 1

Angiolelli M, De Candia A, Sorrentino P, et al.

Biological systems rely on asynchronous and temporally overlapping dynamics, allowing for the concurrent activation of multiple processes. This principle is particularly evident in brain function, where cognitive tasks engage distributed, interacting regions rather than sequentially isolated ones. To investigate the mechanisms enabling such coordination, we study a modular spiking neural network composed of leaky integrate-and-fire neurons and governed by spike-timing-dependent plasticity. Our model stores modular spatiotemporal patterns both at the mesoscopic level (sequences of modules) and at the microscopic level (precise spike timings) and includes a parameter, η , which regulates the degree of temporal overlap between modules' activations. By tuning η , the network transitions from sequential to overlapping regimes, ranging from synfire chainlike dynamics to fully co-activated modules. We investigate how the temporal structure influences the network's capacity to encode and selectively retrieve multiple dynamical patterns while considering biological constraints such as the cost of long-range connectivity. Our results offer insight into how spatiotemporal coding and network o

Epilepsia · 1

Lagarde S, Modolo J, Yochum M, et al.

Abstract Objective We have developed a novel method for estimating brain tissue electrical conductivity using low‐intensity pulse stereoelectroencephalography (SEEG) stimulation coupled with biophysical modeling. We evaluated the hypothesis that brain conductivity is correlated with the degree of epileptogenicity in patients with drug‐resistant focal epilepsy. Methods We used bipolar low‐intensity biphasic pulse stimulation (.2 mA) followed by a postprocessing pipeline for estimating brain conductivity. This processing is based on biophysical modeling of the electrical potential induced in brain tissue between the stimulated contacts in response to pulse stimulation. We estimated the degree of epileptogenicity using a semi‐automatic method quantifying the dynamic of fast discharge at seizure onset: the epileptogenicity index (EI). We also investigated how the location of stimulation within specific anatomical brain regions or within lesional tissue impacts brain conductivity. Results We performed 1034 stimulations of 511 bipolar channels in 16 patients. We found that brain conductivity was lower in the epileptogenic zone (EZ; unpaired median difference = .064, p < .001) and inve

Therapies · 1

Debbih AK, Cutarella C, Jouve E, et al.

Frontiers in Neurology · 1

Pizzo F, Carron R, Laguitton V, et al.

Objective This study aims to evaluate the efficacy and safety of deep brain stimulation (DBS) of the medial pulvinar nucleus (PuM) in reducing seizure frequency and addressing comorbidities in patients with drug and vagal nerve-resistant focal epilepsy. Methods This is an open-label prospective treatment trial with a planned enrollment of 12 patients suffering from medically refractory epilepsy (Clinical trial gov NCT04692701), for which the interim 12-month post-implantation results for the first 6 patients are being reported. Inclusion criteria were focal epilepsy not suitable for or after failed surgical intervention and previous failure of neurostimulation therapies (vagus nerve stimulation or anterior thalamic nucleus DBS). Evaluations included seizure diaries, neuropsychological assessments, and scales for depression, anxiety, quality of life, and seizure severity. PuM DBS was performed using ROSA robotic assistance, with follow-ups every 3 months for 1 year. Results Out of six patients, five completed 1-year follow-up (one patient died prematurely). A non-significant trend toward seizure reduction was observed at 6 months, becoming more pronounced at 1 year (mean reduction:

Epilepsia · 1

Bratu IF, Carron R, Clement A, et al.

Abstract Thalamic deep brain stimulation (DBS) represents an emerging therapeutic option for patients with focal drug‐resistant epilepsy who are ineligible for or have failed resective surgery. To optimize outcomes and guide DBS lead placement, thalamic stereoelectroencephalography (SEEG) has been proposed. This monocentric retrospective study aimed to identify interictal and ictal SEEG biomarkers of the medial pulvinar (PuM) associated with favorable PuM‐DBS response. Six patients (four female, two male) underwent SEEG including PuM sampling, were deemed unsuitable for resective surgery, and subsequently received bilateral PuM‐DBS. In total, eight PuMs were sampled in SEEG: four bilaterally (two patients) and four unilaterally (four patients). The SEEG exploration covered both the PuM and the ipsilateral epileptogenic zone network (EZN) in four patients, whereas in the other two the EZN was bilateral but PuM sampling was unilateral. All SEEG signal analyses were performed on the PuM sampling contacts available in each patient. Interictal SEEG analysis included spike rates and nonlinear functional connectivity (h2), whereas ictal analyses combined visual inspection with quantitativ

Annals of Neurology · 1

Bratu IF, Bénar CG, Villalon SM, et al.

Objective The postictal period provides an opportunity to investigate the pathophysiology underlying aphasia and recovery following epileptic seizures. This study examines postictal aphasia in stereo‐electroencephalography (SEEG)‐explored patients to identify brain regions associated with task‐specific language deficits using signal complexity analysis. Methods We evaluated video‐SEEG‐recorded focal seizures with and without postictal aphasia in patients with SEEG‐confirmed hemispheric language dominance. SEEG traces were analyzed using permutation entropy (PE), with the postictal period quantified by a PE‐based metric, the Postictal Alteration Time (PAT). Brain region PAT was correlated with language function recovery (eg, repetition). Electro‐clinical recuperation was also assessed within the dorsal‐ventral language stream framework. Additionally, a bedside testing battery was developed to evaluate postictal aphasia severity and task‐specific deficits. Results A total of 322 seizures from 98 patients were analyzed. Seizures with postictal aphasia had longer PAT than those without. Task‐specific language recovery correlated with regional PAT (eg, naming – middle temporal gyrus). M

European Journal of Neuroscience · 1

Cathignol AE, Kusch L, Angiolelli M, et al.

ABSTRACT Complex spontaneous brain dynamics mirror the large number of interactions taking place among regions, supporting higher functions. Such complexity is manifested in the interregional dependencies among signals derived from different brain areas, as observed utilising neuroimaging techniques, like magnetoencephalography. The dynamics of this data produce numerous subsets of active regions at any moment as they evolve. Notably, converging evidence shows that these states can be understood in terms of transient coordinated events that spread across the brain over multiple spatial and temporal scales. Those can be used as a proxy of the ‘effectiveness’ of the dynamics, as they become stereotyped or disorganised in neurological diseases. However, given the high‐dimensional nature of the data, representing them has been challenging thus far. Dimensionality reduction techniques are typically deployed to describe complex interdependencies and improve their interpretability. However, many dimensionality reduction techniques lose information about the sequence of configurations that took place. Here, we leverage a newly described algorithm, potential of heat‐diffusion for affinity‐b

Brain Communications · 1

Beigneux Y, Gitton C, Anwar AR, et al.

Abstract The visual pathway is an important model system for remyelination and neuroprotection trials in multiple sclerosis, due to its accessibility and the availability of validated methods including visual evoked potential and optical coherence tomography. However, visual evoked potentials are sometimes undetectable and demonstrate limited reliability after acute optic neuritis. This study aims to investigate novel magnetoencephalography markers for assessing myelin content and neuronal dysfunction in the early phase of optic neuritis and describes their inter-run reproducibility (‘over a single visit’) and association with short-term visual outcomes. Patients with unilateral acute optic neuritis were recruited and underwent ophthalmological assessments, brain MRI and magnetoencephalography. Magnetoencephalography data were acquired during visual stimulation with an alternating checkerboard pattern. We used source localization to reconstruct brain activity in the primary visual cortex (V1) and analysed it in the temporal and frequency domains. In the temporal domain, we focused on M100 latency—the magnetic counterpart of P100 latency. In the frequency domain, we assessed the spe

Epilepsia Open · 1

Louis J, Doudka N, Félix MS, et al.

Abstract Objective Carbamazepine is the first line treatment for patients affected by KCNQ2 developmental and epileptic encephalopathy. It is efficient to reduce or stop seizures in this context. However, its effect on the neurodevelopmental outcomes is debated. The aim of this study was to evaluate the efficacy of long‐term oral administration of carbamazepine in a mouse model of Kcnq2 dysfunction. Methods Mice were treated at weaning and during 70 days. The impact on seizures was measured, and blood samples were collected every week. At 3 months of age, all mice were tested using the Water T‐maze and Barnes maze tests to evaluate their cognitive abilities. Brain tissue was collected to measure carbamazepine and carbamazepine‐epoxide concentrations. Results After 70 days of carbamazepine treatment, the impact on seizures was strong in the Kcnq2 ‐DEE mice, with 1 out of 12 treated knock‐in mice having a seizure compared to 8 out of 13 mice receiving the vehicle. Carbamazepine efficacy on seizures was progressive and correlated to an accumulation of carbamazepine‐epoxide in the brain. The cognitive abilities of treated knock‐in mice at 3 months of age were similar to those of wild‐t

Clinical Neurophysiology · 1

Daoud M, Villalon SM, Salvador R, et al.

Nature Mental Health · 1

Goldblatt R, Holz N, Tate GW, et al.

Imaging Neuroscience · 1

Dellavale D, Lopez ET, Romano A, et al.

Abstract Narrowband oscillations (NOs) and broadband arrhythmic activity (BAA) are valuable conceptualizations extensively used to interpret brain data, with NOs linked to communication and synchronization and BAA encompassing scale-free dynamics and neuronal avalanches. Although both frameworks offer critical insights into brain function, they have largely evolved in parallel, with limited integration and no unifying mechanistic account of how these dynamics interact to generate transient, salient events (SEs). This gap is particularly pressing given recent interest in how SEs—brief (≈100 ms) bursts of activity coordinated across brain regions—relate to large-scale brain function and cognition. To address this, we introduce a signal-level framework that links the Fourier spectral properties (oscillation-domain) of neural signals to the emergence of realistic SEs in the time-domain from NOs and BAA. Our approach is grounded in a novel concept—spectral group delay consistency (SGDC)—along with associated measures that quantify the temporal alignment of spectral components and capture the conditions under which NOs and BAA coalesce into transient, burst-like events. Unlike traditiona

Journal of Neurosurgery · 1

Barrit S, Hadwe SE, Carron R, et al.

Journal of Neurosurgery · 1

Barrit S, El Hadwe S, Madsen JR, et al.

Infectious Diseases Now · 1

Lavrard-Meyer P, Seng P, Bartolomei F, et al.

Douleurs : Évaluation - Diagnostic - Traitement · 1

Mezaache S, Turlure F, Fredon N, et al.

Nature Mental Health · 1

Nees F, Renner P, Holz NE, et al.

Epilepsia · 1

Soncin LD, Rodet C, Aboulmakarim M, et al.

Abstract Objective Posttraumatic stress disorder (PTSD) is more prevalent in epilepsy than in the general population. However, it remains unclear whether this association is specific to epilepsy or a broader consequence of experiencing unpredictable acute episodes within chronic diseases. This study aimed to (1) compare PTSD prevalence and severity in patients with drug‐resistant epilepsy (DRE) and patients with other chronic episodic diseases, namely, type 1 diabetes (T1D) and drug‐resistant atrial fibrillation (AF); and (2) examine psychiatric comorbidities, emotion regulation, and quality of life across groups. Methods A total of 122 patients (64 with DRE; 58 with chronic diseases: 30 with AF, 28 with T1D) completed questionnaires assessing PTSD symptoms, trauma exposure, anxiety, depression, dissociation, emotion regulation, and quality of life. Statistical analyses included χ 2 tests, t ‐tests, analyses of covariance controlling for age, and correlation analyses. Results PTSD was significantly more prevalent in the DRE group (34.94%) than in the chronic disease group (12.07%; χ 2 = 9.5, p = .004). DRE patients also reported significantly more repeated trauma exposures (54.69%

Human Brain Mapping · 1

Jedynak M, Troisi Lopez E, Romano A, et al.

ABSTRACT Measuring propagation of perturbations across the human brain and their transmission delays is critical for network neuroscience, but it is a challenging problem that still requires advancement. Here, we compare results from a recently introduced, noninvasive technique of functional delays estimation from source‐reconstructed electro/magnetoencephalography, to the corresponding findings from a large dataset of cortico‐cortical evoked potentials estimated from intracerebral stimulations of patients suffering from pharmaco‐resistant epilepsies. The two methods yield significantly similar probabilistic connectivity maps and signal propagation delays, in both cases characterized with Pearson correlations greater than 0.5 (when grouping by stimulated parcel is applied for delays). This similarity suggests a correspondence between the mechanisms underpinning the propagation of spontaneously generated scale‐free perturbations (i.e., neuronal avalanches observed in resting state activity studied using magnetoencephalography) and the spreading of cortico‐cortical evoked potentials. This manuscript provides evidence for the accuracy of the estimate of functional delays obtained noni

Brain Communications · 1

Biagioni T, Fratello M, Garnier E, et al.

Les propriétés électrophysiologiques interictales du thalamus, en éveil et en sommeil, sont caractérisées par SEEG dans les épilepsies focales, avec des implications pour la stimulation thalamique.

Sensors · 1

Christophe Bernard

Des enregistrements profonds suivent la perte du rythme thêta hippocampique pendant l’épileptogenèse.

Neural Computation · 1

Baldy N, Breyton M, Woodman MM, et al.

Abstract The process of inference on networks of spiking neurons is essential to decipher the underlying mechanisms of brain computation and function. In this study, we conduct inference on parameters and dynamics of a mean-field approximation, simplifying the interactions of neurons. Estimating parameters of this class of generative model allows one to predict the system’s dynamics and responses under changing inputs and, indeed, changing parameters. We first assume a set of known state-space equations and address the problem of inferring the lumped parameters from observed time series. Crucially, we consider this problem in the setting of bistability, random fluctuations in system dynamics, and partial observations, in which some states are hidden. To identify the most efficient estimation or inversion scheme in this particular system identification, we benchmark against state-of-the-art optimization and Bayesian estimation algorithms, highlighting their strengths and weaknesses. Additionally, we explore how well the statistical relationships between parameters are maintained across different scales. We found that deep neural density estimators outperform other algorithms in the

Languages · 1

Maraev V, Eshghi A, Mazzocconi C, et al.

In dialogue, laughter is a frequent non-verbal signal that can precede, follow, or overlap its antecedent—the laughable. Furthermore, the time alignment between the laughter and the laughable is dependent on who produces the laughable, whether laughter overlaps or not with speech and the communicative act performed. Laughter can interrupt either one’s own or one’s conversational partners’ utterances and, like other well-studied features of dialogue such as repair and split utterances, this interruption does not necessarily occur at phrase boundaries. Similarly, much like repair and other feedback like backchannels, laughters can be categorised as forward-looking or backward-looking. Given these parallels, we propose an analysis of how laughter can be processed and integrated using a Dynamic Syntax (DS) model, which already has well-motivated accounts of repair, split utterances, and feedback. We present a corpus study of laughter in dialogue, as well as a model using Dynamic Syntax and Theory of Types with Records (DS-TTR). Analogously to pronouns and ellipsis, our approach uses underspecification to account for laughter types that are different in processing terms as anaphoric or

Clinical Neurophysiology · 1

Simula S, Makhalova J, Pizzo F, et al.

Scientific Reports · 1

Soncin LD, Simula S, Hemmer N, et al.

Étude de connectivité fonctionnelle montrant comment le trouble de stress post-traumatique modifie les réseaux épileptogènes chez les patients épileptiques.

Neuroscience Informatics · 1

Semeux-Bernier A, Bonini F, Fratello M, et al.

Clinical Neurophysiology · 1

Ueda T, Garnier E, Dellavale D, et al.

eneuro · 1

López-Madrona VJ, Trébuchon A, Mindruta I, et al.

The hippocampus is generally considered to have relatively late involvement in recognition memory, its main electrophysiological signature being between 400 and 800 ms after stimulus onset. However, most electrophysiological studies have analyzed the hippocampus as a single responsive area, selecting only a single-site signal exhibiting the strongest effect in terms of amplitude. These classical approaches may not capture all the dynamics of this structure, hindering the contribution of other hippocampal sources that are not located in the vicinity of the selected site. We combined intracerebral electroencephalogram recordings from epileptic patients with independent component analysis during a recognition memory task involving the recognition of old and new images. We identified two sources with different responses emerging from the hippocampus: a fast one (maximal amplitude at ∼250 ms) that could not be directly identified from raw recordings and a latter one, peaking at ∼400 ms. The former component presented different amplitudes between old and new items in 6 out of 10 patients. The latter component had different delays for each condition, with a faster activation (∼290 ms afte

National Science Review · 1

Feng J, Jirsa V, Lu W

Brain Topography · 1

Feys O, Medina Villalon S, Bénar CG, et al.

Journal of Cognitive Neuroscience · 1

Lallement C, Hinault T, Kanzari K, et al.

Abstract In this study, we used magnetoencephalography and adopted a strategy approach to determine how negative emotions influence arithmetic performance. Forty-eight participants had to find estimates of two-digit multiplication problems, while their strategies were monitored for each problem. Problems were displayed superimposed on emotionally negative or neutral pictures. Behavioral results showed that negative emotions had a deleterious influence on arithmetic performance, especially while executing the harder strategy. Magnetoencephalography data showed decreased activations under negative emotions in brain regions known to specifically underlie arithmetic neural processes, such as left parietal regions (i.e., intraparietal sulcus, superior parietal lobule, precuneus), and no effects of emotions in regions involved in domain-general mechanisms, such as prefrontal regions. Interestingly, decreased activations occurred very early after the onset of the arithmetic problems (i.e., 100–250 msec) and were not found in later time windows. These results suggest that negative emotions impair the early domain-specific processes (such as encoding arithmetic problems), possibly as a resu

Annals of Clinical and Translational Neurology · 1

Bratu IF, Medina Villalon S, Garnier E, et al.

Abstract The postictal state, an abnormal cerebral condition following a seizure until the return to the interictal baseline, is frequently overlooked, despite often exceeding ictal duration and significantly impacting patients' lives. This study analyzes stereo‐EEG (SEEG) signal dynamics using permutation entropy to quantify recovery time (postictal alteration time – PAT) in focal epilepsy and its clinical correlations. The average PAT was 4.5 min, extending up to an hour and was highest in temporal epilepsy and hippocampal sclerosis. Correlating with age at seizure onset and at SEEG, PAT provides a solution for operationally defining the postictal state and guiding interventions.

Annals of Neurology · 1

Bratu IF, Lambert I, Felician O, et al.

Objective Memory impairment is a frequent comorbidity of focal epilepsy, incompletely explained by seizure frequency or structural pathology. Ictal and postictal hippocampal dysfunction disrupt memory processes, but their cumulative impact remains poorly quantified. This study introduces cumulative hippocampal seizure‐related burden metrics and examines their association with long‐term memory consolidation. Methods A total of 20 consecutive patients undergoing stereo‐electroencephalography in Marseille (2016–2018) were prospectively included. Continuous stereo‐electroencephalogram recordings between 2 memory assessments (30 minutes and 1 week postencoding) were analyzed. Hippocampal ictal involvement and durations were assessed using epileptogenicity markers and visual stereo‐electroencephalogram analysis. The postictal period was quantified using permutation entropy. Cumulative hippocampal seizure‐related burden metrics (ictal, postictal, and combined) were computed across hippocampus‐involving ictal events. Verbal and visual memory were assessed using standardized recall and recognition tasks. One‐week performance was defined as the percentage score obtained at the 1‐week assessm

Cerebral Cortex · 1

Pedrosa R, Nazari M, Kergoat L, et al.

Abstract During NREM sleep, hippocampal sharp-wave ripple (SWR) events are thought to stabilize memory traces for long-term storage in downstream neocortical structures. Within the neocortex, a set of distributed networks organized around retrosplenial cortex (RS-network) interact preferentially with the hippocampus purportedly to consolidate those traces. Transient bouts of slow oscillations and sleep spindles in this RS-network are often observed around SWRs, suggesting that these two activities are related and that their interplay possibly contributes to memory consolidation. To investigate how SWRs interact with the RS-network and spindles, we combined cortical wide-field voltage imaging, Electrocorticography, and hippocampal LFP recordings in anesthetized and sleeping mice. Here, we show that, during SWR, “up-states” and spindles reliably co-occur in a cortical subnetwork centered around the retrosplenial cortex. Furthermore, retrosplenial transient activations and spindles predict slow gamma oscillations in CA1 during SWRs. Together, our results suggest that retrosplenial–hippocampal interaction may be a critical pathway of information exchange between the cortex and hippocam

Epilepsia · 1

Silva Alves A, Rigoni I, Mégevand P, et al.

Abstract Objective Genetic generalized epilepsy (GGE) accounts for approximately 20% of adult epilepsy cases and is considered a disorder of large brain networks, involving both hemispheres. Most studies have not shown any difference in functional whole‐brain network topology when compared to healthy controls. Our objective was to examine whether this preserved global network topology could hide local reorganizations that balance out at the global network level. Methods We recorded high‐density electroencephalograms from 20 patients and 20 controls, and reconstructed the activity of 118 regions. We computed functional connectivity in windows free of interictal epileptiform discharges in broad, delta, theta, alpha, and beta frequency bands, characterized the network topology, and used the Hub Disruption Index (HDI) to quantify the topological reorganization. We examined the generalizability of our results by reproducing a 25‐electrode clinical system. Results Our study did not reveal any significant change in whole‐brain network topology among GGE patients. However, the HDI was significantly different between patients and controls in all frequency bands except alpha ( p < .01, fa

Brain Stimulation · 1

Avalos-Alais S, Jedynak M, Boyer A, et al.

Brain · 1

Avalos-Alais S, Jedynak M, Boyer A, et al.

Abstract The lateral prefrontal cortex (LPFC) serves as a critical hub for higher-order cognitive and executive functions in the human brain, coordinating brain networks whose disruption has been implicated in many neurological and psychiatric disorders. While transcranial brain stimulation treatments often target the LPFC, our current understanding of connectivity profiles guiding these interventions based on electrophysiology remains limited. Here, we present a high-resolution probabilistic map of bidirectional effective connectivity between the LPFC and widespread cortical and subcortical regions. This map is derived from intracranial evoked potential analysis of 48 797 intracranial direct electrical stimulation runs across 759 implantations in 724 patients with refractory epilepsy (368 male, 354 female, two unspecified; mean age ± standard deviation: 24 ± 13.5 years). We mapped probabilistic connectivity between brain parcels with adaptive resolution—higher resolution in the LPFC in the hemisphere of interest and lower elsewhere—maintaining statistical power while achieving 95% average confidence interval of ∼0.03 for connectivity probability estimates. In addition, the signifi

Network Neuroscience · 1

Vattikonda AN, Hashemi M, Woodman MM, et al.

Abstract Epilepsy remains a significant medical challenge, particularly in drug-resistant cases where surgical intervention may be the only viable treatment option. Identifying the epileptogenic zone, the brain region responsible for seizure initiation, is a critical step in surgical planning. Combining dynamical system models, machine learning, and the neuroimaging data of epileptic patients in the so-called Bayesian Virtual Epileptic Patient (VEP) framework has previously been shown to be a promising approach for identifying the epileptogenic zone. However, previous studies employed coupled neural mass models to describe the whole-brain seizure dynamics and, hence, could only provide a highly coarse spatial estimate of the epileptogenic zone. In this study, we propose an extension of the Bayesian VEP to a neural field model, which can improve the spatial resolution by several orders. Performing model inversion using neural field models is a challenging task as the parameter space is very high dimensional, and it becomes computationally expensive to compute gradients. We demonstrate that by using pseudospectral methods and spherical harmonic transforms, it is feasible to perform m

Journal of Cognition · 1

Grandjean A, Hoyer RS, Mathieu A, et al.

La dilatation pupillaire montre que l'attention auditive, globale comme sélective, module l'éveil (arousal), éclairant les liens entre attention et état de vigilance.

Communications Biology · 1

Serin E, Ritter K, Schumann G, et al.

Abstract Task-based functional magnetic resonance imaging (fMRI) reveals individual differences in neural correlates of cognition but faces scalability challenges due to cognitive demands, protocol variability, and limited task coverage in large datasets. Here, we propose DeepTaskGen, a deep-learning approach that synthesizes non-acquired task-based contrast maps from resting-state (rs-) fMRI. We validate this approach using the Human Connectome Project lifespan data, then generate 47 contrast maps from 7 different cognitive tasks for over 20,000 individuals from UK Biobank. DeepTaskGen outperforms several benchmarks in generating synthetic task-contrast maps, achieving superior reconstruction performance while retaining inter-individual variation essential for biomarker development. We further show comparable or superior predictive performance of synthetic maps relative to actual maps and rs-connectomes across diverse demographic, cognitive, and clinical variables. This approach facilitates the study of individual differences and the generation of task-related biomarkers by enabling the generation of arbitrary functional cognitive tasks from readily available rs-fMRI data.

Annals of Neurology · 1

Feys O, Makhalova J, Medina Villalon S, et al.

Objective In temporal lobe epilepsy (TLE), the amygdala in the epileptogenic network is underestimated compared to other regions such as the hippocampus. Recent advances in anatomical neuroimaging and stereoelectroencephalography (SEEG) signal analyses could help better understand the involvement of the different amygdala nuclei in the genesis of temporal lobe seizures. Methods We retrospectively included 51 patients suffering from TLE who underwent SEEG over the past 5 years. The Virtual Epileptic Patient atlas with an integrated amygdala atlas was used to automatically localize SEEG contacts within the brain regions, including 9 amygdala nuclei. The Epileptogenicity Index (EI) and Connectivity Epileptogenicity Index (cEI) were computed on ictal SEEG recordings. We used a beta mixed model to evaluate the relative effects of amygdala nuclei, TLE subtypes, and lateralization of the epileptogenic zone on the epileptogenicity. We used the Wilcoxon rank sum test to study the associations between epileptogenicity level of distinct amygdala nuclei and ictal semiology (sensory, affective, cognitive, motor, and autonomic). Results We observed higher epileptogenicity within the basolateral

Child's Nervous System · 1

Krouma M, Kerleroux B, Desnous B, et al.

Therapies · 1

Daveluy A, Perino J, Gibaja V, et al.

Epilepsia · 1

Acerbo E, Jegou A, Lagarde S, et al.

Abstract Objective Deep brain stimulation (DBS) is emerging as a promising therapy for patients with drug‐resistant epilepsy, particularly those who are either unsuitable for or unresponsive to resective surgery. The potential benefit of DBS in these patients may stem from its ability to reduce excessive brain functional connectivity (FC). Given that patients undergoing presurgical evaluation in our institution are implanted with stereoelectroencephalographic (SEEG) electrodes in the thalamus, specifically in the pulvinar medialis (PuM), our aim was to investigate the impact of different stimulation frequencies on brain FC. We sought to determine whether specific frequencies were more effective in modulating FC. Methods SEEG was used to investigate the effects of PuM stimulation across a broad frequency range (1–200 Hz) in a cohort of 14 patients with drug‐resistant focal epilepsy. FC was assessed using the nonlinear correlation coefficient ( h 2 ) and node strength calculations. Results Our findings revealed a reduction in FC at stimulation frequencies of 10 Hz and >90 Hz, contrasting with an increase in FC in the 20–80‐Hz range. This modulation of FC extended beyond the epilep

European Journal of Neurology · 1

Guérémy A, Boudjarane J, Alazard E, et al.

ABSTRACT Background The myeloid differentiation primary response 88 (MYD88) protein is involved in immune processes through the activation of the toll‐like receptors and the interleukin‐1 receptor. The acquired MYD88 L256P mutation enhances its activity and promotes inflammatory pathways and autoimmune diseases. Our aim was to determine the frequency of the MYD88 L256P mutation in chronic inflammatory demyelinating polyradiculoneuropathies (CIDP) and multifocal motor neuropathy with conduction blocks (MMN) and to assess its potential effect on the phenotype of the neuropathy. Methods The MYD88 L256P mutation was tested in the peripheral blood mononuclear cells of 79 CIDP, 35 MMN, and 57 controls with nonimmune mediated disorders. Disease severity was assessed on disability scores, neurofilament light chain dosages, motor unit counts, and sums of the sensory and motor amplitudes on electrodiagnostic tests. Results The MYD88 L256P mutation was more frequent in MMN patients (12/35, 34%; odds ratio 28 [95% confidence interval 4–1262]; p < 0.001) and in CIDP patients (15/79, 19%; OR 13 [95% confidence interval 2–561]; p < 0.001) than in controls (1/57, 2%). Patients with the MYD88

JAMA Psychiatry · 1

Lett TA, Vaidya N, Jia T, et al.

Importance Psychiatric diagnoses are not defined by neurobiological measures hindering the development of therapies targeting mechanisms underlying mental illness. Research confined to diagnostic boundaries yields heterogeneous biological results, whereas transdiagnostic studies often investigate individual symptoms in isolation. Objective To develop a framework that groups clinical symptoms compatible with ICD-10 and DSM-5 according to their covariation and shared brain mechanisms. Design, Setting, and Participants This diagnostic study was conducted in 2 samples, the population-based Reinforcement-Related Behaviour in Normal Brain Function and Psychopathology (IMAGEN) cohort (longitudinal assessments at 14, 19, and 23 years; study duration from March 2010 to the present) and the cross-diagnostic Brain Network Based Stratification of Mental Illness (STRATIFY)/Earlier Detection and Stratification of Eating Disorders and Comorbid Mental Illnesses (ESTRA) samples (study duration from October 2016 to September 2023). The samples are from 8 clinical research hospitals in Germany, the UK, France, and Ireland. For the population-based IMAGEN study, 794 of 1253 23-year-old participants ha

British Journal of Clinical Pharmacology · 1

Dalmas P, Theron A, Badaoui R, et al.

Immune thrombocytopenia (ITP) is a rare autoimmune disorder characterized by platelet destruction. While most patients respond to first‐ or second‐line therapies, a small subset is multirefractory. Fostamatinib , an oral spleen tyrosine kinase ( SYK ) inhibitor, is a therapeutic option in these cases. We report a case of an acute aortic dissection (AAD) occurring in a patient without traditional cardiovascular risk factors, 3 months after fostamatinib initiation. A 70‐year‐old woman with a 30‐year history of ITP, unresponsive to multiple therapies, was treated with fostamatinib and achieved a complete haematologic response. She presented with sudden chest pain and was diagnosed with Stanford A (DeBakey type 1) AAD requiring emergency surgery. Histological analysis of her aortic tissue showed a 25% reduction in phosphorylated SYK expression compared to a control sample, without alteration in smooth muscle cell markers. The absence of predisposing conditions (hypertension, smoking, genetic disorders) led us to explore a potential link between fostamatinib and AAD. Experimental data suggest that SYK inhibition exacerbates aortic wall vulnerability, and off‐target effects of fostamatin

ACS Applied Materials & Interfaces · 1

Cornuéjols R, Ivanov A, Ghestem A, et al.

Abstract Flexible neural probes with conductive polymer electrodes present promising alternatives to rigid devices for chronic brain stimulation and recording. Organic devices, characterized by higher charge injection capabilities and better compatibility with biological tissues compared to inorganic probes, hold significant potential in this field. However, demonstrating stability and consistent physiological responses during prolonged pulsing is crucial for their practical application. Moreover, their implantation into brain tissue remains a challenge. Due to their small size and flexibility, organic devices are difficult to insert into brain tissue. This limits their widespread use for recording and deep stimulation of the brain. In this study, we fabricated plastic depth probes with PEDOT:PSS electrodes and developed a reliable protocol for their implantation into brain tissue using a stiff, removable shuttle. We implanted two identical probes into the hippocampus of an adult rat, targeting the CA1 layer with recording electrodes and Schaffer collaterals with stimulating electrodes. We demonstrated that these fabricated devices are excellent tools for recording not only the act

Epilepsia · 1

Massa JF, El Youssef N, Carron R, et al.

Abstract Objective This work was undertaken to study the association between vagus nerve stimulation (VNS) parameters and the apnea–hypopnea index (AHI) measured by polysomnography in patients with drug‐resistant epilepsy. Methods Patients with epilepsy who underwent polysomnography with an active VNS device between 2018 and 2023 were retrospectively included. VNS output current and cycle speed, defined as the interval between two stimulation‐ON (Stim‐ON) periods, were correlated with AHI. Demographic, clinical, and polysomnography characteristics were compared between patients with low (≤1.5 mA) or high (>1.5 mA) output current, and between patients with slow VNS cycle (interval between two Stim‐ON of >108 s) and fast cycle (interval between two Stim‐ON of ≤108 s). Multiadjusted linear regression analysis was performed. Results Twenty‐two patients were included. Output current significantly correlated with AHI, but no difference was found between patients with low versus high output current. Patients with a fast VNS cycle had a significantly higher AHI than patients with a slow VNS cycle. After adjustment for age, number of antiseizure medications, body mass index, and gende

Healthcare · 1

Blin A, Bonin-Guillaume S, Arlotto S, et al.

Background: Population ageing increases reliance on family caregivers (FCGs) for very old adults (80+). While caregiving is often studied as a source of burden, its impact on caregivers’ daily life and occupational balance remains underexplored. This study aimed to explore how caregiving responsibilities shape the daily lives, occupational balance, and support needs of FCGs, using the Stress Process Model (SPM) and the concept of Occupational Balance (OB). Methods: A qualitative study was conducted in the PACA region (France) within the SCOPE project. Seventeen semi-structured interviews were analysed using thematic content analysis, with independent double coding by two researchers. Results: Six themes were identified: caregiving role and identity, consequences, occupational patterns, needs, proposed actions, and barriers and facilitators. Caregiving generated both primary stressors (physical and emotional demands) and secondary stressors (role conflicts, financial strain, and social isolation). It also led to occupational imbalance, characterized by reduced leisure, diminished self-care, and reorganization of daily routines. Working FCGs reported greater role strain and time cons

Fundamental & Clinical Pharmacology · 1

Alhamidi Z, Lacroix C, Jouve E, et al.

ABSTRACT Cocaine use has increased both globally and nationally. This trend is accompanied by a rise in clinical complications. The objective of our study was to identify factors observed to be associated with cocaine use disorder, using data from the OPPIDUM program, collecting information directly from patients with substance use disorders recruiting in care or harm reduction facilities. Cocaine users were divided into two groups: cocaine use disorder and simple use. A univariate analysis was performed to compare the groups, followed by a multivariate analysis to identify factors associated with cocaine use disorder. Between 2019 and 2023, 6863 cocaine users (28% of all OPPIDUM participants) from 116 addiction treatment centers were included. Several factors were found to be significantly associated with cocaine use disorder: extreme precariousness (OR = 1.34, 95% CI [1.12–1.61], p = 0.002), cocaine‐only use (OR = 1.90, 95% CI [1.45–2.50], p < 0.0001), alcohol dependence (OR = 1.48, 95% CI [1.30–1.68], p < 0.0001), and use of antidepressants and antipsychotics (OR = 2.08, 95% CI [1.37–3.16], p = 0.001; OR = 1.94, 95% CI [1.40–2.69], p < 0.001). These findings highlight s

Revue Neurologique · 1

Aubert-Conil S, Carron R, Scavarda D, et al.

Frontiers in Language Sciences · 1

Trébuchon A, Fasola A, Sabadell V, et al.

Background Patients with drug-resistant epilepsy involving the language network often exhibit anomic profiles in daily life due to difficulties with lexical selection processes. Very little evidence is available regarding the effects of language rehabilitation in this population. Objective(s) We aim to induce brain plasticity combined with improvements in behavioral performance using language therapy in patients with epilepsy. Methods We implemented a therapy focused on phonological and semantic features of infrequent words over three treatment sessions, each targeting a specific semantic category. Intracranial signals were recorded in 10 patients during baseline and post-therapy picture-naming sessions. Response times and the percentages of correct responses during naming tests were collected. Time-frequency analyses were conducted on intracranial signals, and comparisons were made between baseline and post-therapy conditions for each patient. Results Half of the patients demonstrated improved naming skills following the treatment. We observed significantly different recruitment of frontotemporal areas in the left hemisphere (including Broca's area) post-therapy in patients that i

Revue Neurologique · 1

Lagarde S, Bartolomei F

Therapies · 1

Lacroix C, Garnier C, Schein M, et al.

European Journal of Neuroscience · 1

Danielou G, Hervé E, Dubarry AS, et al.

ABSTRACT Auditory event‐related brain potentials such as the mismatch negativity (MMN) and the frequency‐following response (FFR) allow exploring speech sound encoding along the auditory pathway. Here, we collected event‐related brain potential (ERP) and FFR neural responses to syllables in healthy full‐term newborns ( N = 17, mean age = 3 days) and adults ( N = 21, mean age = 22.7). Participants were passively exposed to alternating blocks of syllables presented at either fast or slow stimulation rates while we recorded electroencephalography (EEG). Specifically, blocks containing the synthetic /oa/ syllable alternated with “oddball” blocks containing three natural syllables differing in place of articulation (one standard /da/ and two deviants /ba/ and /ga/). At the FFR level, we found that 3‐day‐old newborns (i) exhibit an already functional encoding of vowel pitch, (ii) show an immature encoding of vowel formant structure, replicating previous observations. At the ERP level, the two deviants elicited clear MMN in the two groups, although with different topographies, suggesting an immature sensitivity to place of articulation in newborns. These results confirm the role of experi

Revue Neurologique · 1

Tadjer J, Makhalova J, Simula S, et al.

Brain Communications · 1

Daoud M, Medina-Villalon S, Garnier E, et al.

Abstract Transcranial direct current stimulation shows promise as a non-invasive therapeutic method for patients with focal drug-resistant epilepsy. However, there is considerable variability in individual responses to transcranial direct current stimulation, and the factors influencing treatment effectiveness in targeted regions are not well understood. We aimed to assess how the extent and depth of the epileptogenic zone and associated networks impact patient responses to transcranial direct current stimulation therapy. We conducted a retrospective analysis of stereoelectroencephalography data from 23 patients participating in a personalized multichannel transcranial direct current stimulation protocol. We evaluated the extent and depth of the epileptogenic zone network, propagation zone network, and the combined network of the entire epileptogenic and propagation zones, correlating these factors with clinical response measured by the reduction in seizure frequency following repeated transcranial direct current stimulation sessions. Among the patients, 10 (43.5%) were classified as responders (R), experiencing a significant (>50%) decrease in seizure frequency, while 13 we

Journal of Alzheimer’s Disease · 1

Koric L, Mourre H, Trompette C, et al.

Background Although Alzheimer's disease (AD) is biologically well characterized, early and precise phenotypic diagnosis remains challenging, especially for atypical variants. Posterior cortical atrophy (PCA) is a rare form of AD with progressive neurovisual impairment related to degeneration in visual processing areas. Objective To investigate how alterations in eye movement metrics, measured through video-oculography (VOG), reflect dysfunction across distinct brain networks in various AD phenotypes, with particular emphasis on PCA. Methods This study compared oculomotor parameters derived from VOG saccade analysis in early AD patients exhibiting two clinical phenotypes, PCA-AD (n = 21) and amnestic mild cognitive impairment (aMCI-AD, n = 11), along with 27 age-matched controls. Parameters analyzed included saccade latency, gain, velocity, intrusions and antisaccade error rates. All patients exhibited cerebrospinal fluid biomarkers consistent with AD pathology. Results As expected, neuropsychological testing revealed more severe neurovisual and executive deficits in PCA-AD versus aMCI-AD, and greater memory storage impairment in aMCI. Oculomotor data showed that PCA-AD patients exh

Clinical Neurophysiology · 1

Galli O, Lagarde S, Villalon SM, et al.

Revue Neurologique · 1

Sabadell V, Zielinski C, Alario FX, et al.

Imaging Neuroscience · 1

Lemaréchal JD, Triebkorn P, Vattikonda AN, et al.

Abstract Digital twins play an increasing role in clinical decision making. This study evaluates a digital brain twin approach in presurgical evaluation, the Virtual Epileptic Patient (VEP), which estimates the epileptogenic zone in patients with drug-resistant epilepsy. We built the personalized digital brain twins of 14 patients and a series of synthetic dataset by considering different spatial configurations of the epileptogenic and/or propagation zone networks (EZN and PZN, respectively). Brain source signals were simulated with a high spatial resolution neural field model (NFM) composed of 81942 nodes, embedding both long-range (between brain regions) and short-range (within brain regions) coupling. Brain signals were then projected to stereotactic electroencephalographic (SEEG) contacts with an accurate forward solution. An inversion procedure based on a low spatial resolution neural mass model (NMM) composed of 162 nodes was applied to estimate the excitability of each region in each simulation. The ensuing estimated EZN/PZN was compared to the simulated ground truth by means of classification metrics. Overall, we observed correct but degraded performance when using an NMM t

Journal of Neurology · 1

Mattioli P, Gurses AA, Simula S, et al.

Lecture Notes in Computer Science · 1

Depannemaecker D, Casagrande G, Fedaravičius AP, et al.

2024 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC) · 1

Rocha AC, Pinheiro C, Sieghartsleitner S, et al.

Neural Computation · 1

Kusch L, Depannemaecker D, Destexhe A, et al.

Abstract The study of brain activity spans diverse scales and levels of description and requires the development of computational models alongside experimental investigations to explore integrations across scales. The high dimensionality of spiking networks presents challenges for understanding their dynamics. To tackle this, a mean-field formulation offers a potential approach for dimensionality reduction while retaining essential elements. Here, we focus on a previously developed mean-field model of adaptive exponential integrate and fire (AdEx) networks used in various research work. We observe qualitative similarities in the bifurcation structure but quantitative differences in mean firing rates between the mean-field model and AdEx spiking network simulations. Even if the mean-field model does not accurately predict phase shift during transients and oscillatory input, it generally captures the qualitative dynamics of the spiking network’s response to both constant and varying inputs. Finally, we offer an overview of the dynamical properties of the AdExMF to assist future users in interpreting their results of simulations.

Journal of The Royal Society Interface · 1

Baldy N, Woodman M, Jirsa VK, et al.

Implémentation de l'inférence bayésienne pour le Dynamic Causal Modelling dans des langages de programmation probabilistes, permettant d'estimer les états latents d'un système cérébral stimulé.

Machine Learning: Science and Technology · 1

Sip V, Breyton M, Petkoski S, et al.

Abstract Learning stochastic models of dynamical systems from observed data is of interest in many scientific fields. For reliable use in scientific applications, trained models must be able to reproduce the observed dynamics, remain amenable to analysis by mathematical and computational tools, and their dependence on key training hyperparameters must be well understood. Here, we propose a new method for this task within the family of dynamical variational autoencoders. The proposed double projection method estimates both the system state trajectories and the noise time series from data. This approach naturally allows us to perform multi-step system evolution and to learn models with a comparatively low-dimensional state space. We evaluate the performance of the method on six benchmark problems, including both simulated and experimental data. We then analyze how the teacher forcing interval, a key parameter of the multi-step system evolution, shapes the internal dynamics of the trained model, and we compare the resulting behavior to that of deterministic models of equivalent architecture. The results show that shorter teacher forcing intervals favor predominantly deterministic dyna

Glia · 1

Kiani N, Abubakar K, Petanjek TL, et al.

ABSTRACT Astrocytes regulate extracellular potassium (K + ) through multiple mechanisms operating across distinct spatiotemporal scales, yet whether this regulation exhibits regional and circadian specificity remains unclear. Using real‐time K + measurements combined with electrophysiology and immunohistochemistry in astrocytes, we characterize K + buffering by astrocytes across the dorsoventral hippocampal axis at three circadian times. We report that hippocampal CA1 stratum radiatum astrocytes possess different functional K + buffering capacities depending on both anatomical location and time of day. At the early light phase (ZT3), the ventral hippocampus (VH) exhibits faster K + accumulation and greater peak amplitudes than the dorsal hippocampus (DH) in response to similar neuronal network activity. This regional divergence is driven by reduced Kir4.1 channel function in VH astrocytes, which persists across all measured time points, and which is partially compensated by enhanced Na + /K + ‐ATPase activity specifically at ZT3. Gap junction coupling between astrocytes shows regional and time‐dependent variation, with elevated coupling in VH at ZT3 that subsequently normalizes. Ki

eneuro · 1

López-Madrona VJ, Pesnot Lerousseau J, Morillon B

A main question in cognitive neuroscience is whether brain rhythms during speech perception reflect intrinsic neural oscillations or simply responses evoked by the acoustic signal. A recent intracranial study interpreted persistent auditory activity after acoustic edges as evidence for entrainment. We show that a similar rhythmic pattern is already present in the speech stimulus itself, supporting an evoked-response account instead. This highlights the need for routine stimulus–signal analyses as a critical control in studies of naturalistic speech processing.

Neuroscience · 1

Güntan I, Ghestem A, Nazaruk K, et al.

Communications Biology · 1

López-Madrona VJ, Trébuchon A, Bénar CG, et al.

Deux sources alpha distinctes dans le cortex auditif humain durant le traitement des sons.

Neurology Neuroimmunology & Neuroinflammation · 1

Demortiere S, Stolowy N, Perriguey M, et al.

Children · 1

Dame C, Viellard M, Elissalde SN, et al.

Background: Social Communication Disorder (SCD), introduced in the DSM-5, is distinguished from Autism Spectrum Disorder (ASD) by the absence of restricted and repetitive behaviors or interests (RRBIs). Aim: To compare the adaptive, sensory, communication, and cognitive profiles of children with ASD and SCD. Methods: The assessments of nine children with SCD and ten with ASD were compared with either Fisher’s Exact Test or the Mann–Whitney Test. Assessments included the Vineland Adaptive Behavior Scales, the Autism Diagnostic Observation Schedule (ADOS), the Short Sensory Profile, Bishop’s Children’s Communication Checklist, a pragmatics evaluation, and the Wechsler Intelligence Scale for Children IV. Results: The total ADOS score and the second subtotal “Restricted and Repetitive Behaviors” were significantly higher (p = 0.022) in the ASD group than in the SCD group. The Vineland standard score for the “Socialization” domain was significantly lower (p = 0.037) in the ASD group (mean: 51 +/− 19) than in the SCD group (mean: 80 +/− 28). The working memory index score was also significantly lower (p = 0.013) in the ASD group compared to the SCD group. Conclusions: While ASD and SCD s

Neuromethods · 1

Makdah G, Wiener SI, Pompili MN

Lecture Notes in Networks and Systems · 1

Pinheiro C, Figueiredo J, Pereira T, et al.

Science Translational Medicine · 1

Wang HE, Woodman M, Triebkorn P, et al.

Des jumeaux cérébraux personnalisés pour identifier les réseaux épileptogènes et soutenir la planification chirurgicale.

Epileptic Disorders · 1

Krouma M, Makhalova J, Toutain G, et al.

Abstract Background Stereoelectroencephalography (SEEG) is a well‐established technique for localizing epileptogenic zones in patients with drug‐resistant epilepsy, including children. While considered safe, rare but serious complications can occur. Case Presentation We report the case of a girl with tuberous sclerosis complex and drug‐resistant epilepsy who underwent SEEG implantation as part of pre‐surgical evaluation. Electrode placement was uneventful. However, during SEEG monitoring, the signal was lost on two electrodes, raising suspicion of fracture. During explantation, these electrodes were not retrieved, as the distal ends were not visible. The removal of the remaining electrodes proceeded without complication. Nearly 3 years later, the patient developed progressive gait instability. Imaging revealed migration of one electrode fragment into the spinal canal at the L4–L5 level, in contact with the cauda equina, and another fragment into the left temporal horn of the lateral ventricle. The spinal fragment was successfully removed surgically without complication. Conclusion To the best of our knowledge, this is the first reported case of brain and spinal migration of a retai

Epilepsia · 1

Bartolomei F, Lagarde S, Wendling F, et al.

Une revue sur les réseaux épileptogènes, reliant SEEG, analyse des signaux et connectivité fonctionnelle.

Headache: The Journal of Head and Face Pain · 1

Masson R, ElShafei A, Demarquay G, et al.

Abstract Objectives/Background There is growing evidence that migraine is associated with attentional abnormalities, both during and between attacks, potentially affecting the cognitive processing of sensory stimulation. However, the underlying neurophysiological mechanism remains poorly understood. This study aimed to investigate whether top‐down and bottom‐up attentional mechanisms, as indexed by alpha‐ and gamma‐band oscillatory activity measured with magnetoencephalography are altered in patients with episodic migraine without aura during the interictal phase. Methods In a cross‐sectional study (conducted in 2016–2017 in Lyon area of France) with a comparison of matched groups, 19 patients with migraine without aura and 19 healthy participants performed an attentional task involving visually cued auditory targets and distracting sounds to evaluate conjointly top‐down and bottom‐up attention mechanisms. Magnetoencephalography was used to record anticipatory alpha activity (power increase and decrease) and distractor‐induced gamma activity as markers for top‐down (inhibition and facilitation) and bottom‐up attention, respectively. Results Compared to healthy participants, patient

Journal of Neuroscience Methods · 1

Guinard A, Jung J, Bouet R, et al.

Computers in Biology and Medicine · 1

Gonçalves HR, Pinheiro P, Pinheiro C, et al.

Scientific Data · 1

Chanoine V, Todorović S, Nazarian B, et al.

Abstract The “MEG-GLOUPS” dataset offers a curated collection of raw magnetoencephalography recordings from seventeen French participants engaged in a pseudoword learning task as well as resting-state activity before and after the task. A dataset called Gloups with the same participants and a similar learning task adapted to functional magnetic resonance imaging is already available. In the learning task, participants were instructed to pronounce monosyllabic pseudowords, which were presented both visually and auditorily. These pseudowords were either phonotactically legal or illegal in the participants’ native language, French. We organized the dataset according to the Brain Imaging Data Structure (BIDS), pre-processed the data and performed a minimal analysis of Event-Related Fields (ERFs), to ensure data quality and integrity of the dataset. This data collection includes comprehensive descriptions of the theoretical background, methods, data recordings, and technical validation.

Journal of Antimicrobial Chemotherapy · 1

Launay M, Pina M, Guilhaumou R, et al.

Abstract Background Cotrimoxazole (trimethoprim/sulfamethoxazole) is a widely used antibiotic in ICU for the treatment of infections such as nosocomial or Pneumocystis jirovecii pneumonia. However, dosing in ICU patients is complicated by fluctuations in renal function, particularly acute kidney injury and augmented renal clearance, which affect drug elimination. This study investigated how renal function and body weight influence trimethoprim and sulfamethoxazole concentrations. Patients and methods This retrospective bicentre observational study involved 116 ICU patients receiving cotrimoxazole therapy with routine therapeutic drug monitoring. The study focused on effects of estimated glomerular filtration rate (eGFR) and weight on concentrations and dosing. Results Dosing of sulfamethoxazole and trimethoprim was significantly lower in patients with eGFR <30 mL/min/1.73 m2, as recommended. In these patients, sulfamethoxazole concentrations were reduced, suggesting underdosing, while trimethoprim increased with worsening renal function, indicating overdose risk when eGFR <60 mL/min/1.73 m2. Patients on renal replacement therapy (RRT) had lower sulfamethoxazole concen

Revue Neurologique · 1

Guérémy A, Félician O, Wenisch E, et al.

Epilepsia Open · 1

Bolzan A, Benoit J, Pizzo F, et al.

Abstract Objective Our objective was to evaluate the relationship between scalp‐EEG and stereoelectroencephalography (SEEG) seizure‐onset patterns (SOP) in patients with MRI‐negative drug‐resistant focal epilepsy. Methods We analyzed retrospectively 41 patients without visible lesion on brain MRI who underwent video‐EEG followed by SEEG. We defined five types of SOPs on scalp‐EEG and eight types on SEEG. We examined how various clinical variables affected scalp‐EEG SOPs. Results The most prevalent scalp SOPs were rhythmic sinusoidal activity (56.8%), repetitive epileptiform discharges (22.7%), and paroxysmal fast activity (15.9%). The presence of paroxysmal fast activity on scalp‐EEG was always seen without delay from clinical onset and correlated with the presence of low‐voltage fast activity in SEEG (sensitivity = 22.6%, specificity = 100%). The main factor explaining the discrepancy between the scalp and SEEG SOPs was the delay between clinical and scalp‐EEG onset. There was a correlation between the scalp and SEEG SOPs when the scalp onset was simultaneous with the clinical onset ( p = 0.026). A significant delay between clinical and scalp discharge onset was observed in 25% of

Lecture Notes in Networks and Systems · 1

Pinheiro C, Abreu L, Figueiredo J, et al.

Cortex · 1

Lorenz A, Mercier M, Trébuchon A, et al.

Étude de cas en EEG intracérébral montrant que les signaux de décharge corollaire pendant la production sont généraux au domaine, partagés entre parole et musique.

Revue de neuropsychologie · 1

Sabadell V, Zielinski C, Trébuchon A, et al.

Therapies · 1

Mezaache S, Pochard L, Spadari M, et al.

Network Neuroscience · 1

Runfola C, Neri M, Schön D, et al.

L’analyse de variétés neuronales révèle des motifs de complexité lors de l’écoute de la parole et de la musique.

JoCN Forum · 1

Mashmoushi S, David O, Wallois F

Cortex · 1

Curot J, Dornier V, Valton L, et al.

2025 33rd European Signal Processing Conference (EUSIPCO) · 1

Cionca A, Chan CHM, Preti MG, et al.

Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization · 1

Henriques A, Pinheiro C, Santos CP

IEEE Transactions on Biomedical Engineering · 1

Mokhtari S, Badier JM, Bénar CG, et al.

Scientific Reports · 1

Medina Villalon S, Makhalova J, López-Madrona VJ, et al.

Abstract Stereoelectroencephalography is a powerful intracerebral EEG recording method for the presurgical evaluation of epilepsy. It consists in implanting depth electrodes in the patient’s brain to record electrical activity and map the epileptogenic zone, which should be resected to render the patient seizure-free. Stereoelectroencephalography has high spatial accuracy and signal-to-noise ratio but remains limited in the coverage of the explored brain regions. Thus, the implantation might provide a suboptimal sampling of epileptogenic regions. We investigate the potential of improving a suboptimal stereoelectroencephalography recording by performing source localization on stereoelectroencephalography signals. We propose combining independent component analysis, connectivity measures to identify components of interest, and distributed source modelling. This approach was tested on two patients with two implantations each, the first failing to characterize the epileptogenic zone and the second giving a better diagnosis. We demonstrate that ictal and interictal source localization performed on the first stereoelectroencephalography recordings matches the findings of the second stere

Journal of Computational Neuroscience · 1

Tartarini L, Triebkorn P, Kusch L, et al.

Abstract The human brain is a complex adaptive system characterized by dynamic processes operating across multiple spatio-temporal scales. Capturing these dynamics requires computational models that can integrate different levels of resolution. In this work we present a multiscale co-simulation framework that couples whole-brain modeling with a detailed point-neuron model of the human hippocampal CA1 region. We used a high-resolution implementation of the “The Virtual Brain” (TVB), in which cortical surface mesh vertices are embedded with the Spatial Epileptor Model (SEM). At the microscale, the CA1 model captures neuronal activity at micrometer spatial and sub-millisecond temporal resolution. This integration enables the simulation of macroscale epileptic dynamics with microscale neuronal precision within anatomically grounded brain regions, facilitating cross-scale communication. These results demonstrate the potential of this approach to advance mechanism-driven, personalized medicine in clinical neuroscience.

Nature Communications · 1

Jentsch M, Polemiti E, Renner P, et al.

Abstract Environmental exposures play a critical role in shaping physical and mental health, yet integrating such data into biomedical research remains technically complex and fragmented. The EnvironMENTAL Climate, Urbanicity, Environment and Society (CLUES) framework is an open-source, end-to-end workflow for generating individual-level environmental exposure data. CLUES automates the selection and download of open-access geospatial datasets, standardises spatial and temporal formats, and maps projections, and links resulting environmental variables to individual-level biomedical data, requiring no prior expertise in geospatial data. CLUES covers key environmental domains, including urban and natural space, climate and weather extremes, air pollution, and regional socioeconomic conditions. Designed for extensibility and cross-cohort applicability, it enables multidimensional exposure mapping across global settings and adheres to FAIR (Findability, Accessibility, Interoperability and Reusability) and privacy-compliant data protection principles. In this work, we present the CLUES framework and evaluate its scalability, computational performance, and reproducibility for large-scale

Epileptic Disorders · 1

Bartolomei F, Pizzo F, Lagarde S

Abstract This review aimed to characterize the clinical semiology and anatomical correlates of seizures originating in the basal temporal region, an underrecognized epilepsy subtype, and to identify features that distinguish it from other forms of temporal lobe epilepsies (TLE). We performed a systematic review of the literature following PRISMA guidelines. The search included terms related to the basal temporal region (e.g., fusiform gyrus and rhinal cortex) and epilepsy, encompassing clinical, anatomical, and neurophysiological studies. Studies with video‐EEG monitoring, SEEG evaluations, and surgical outcomes were prioritized. Semiological features, imaging findings, and post‐surgical outcomes were extracted and analyzed. Fifteen studies encompassing 83 patients were analyzed. Most cases involved MRI‐detectable lesions. Findings revealed that basal temporal seizures frequently present with language disturbances, motor phenomena, and less pronounced emotional and sensory signs compared to other TLE forms. SEEG identified epileptogenic zones predominantly in the fusiform gyrus, rhinal cortices, and parahippocampal region. Post‐surgical outcomes revealed 57% of patients achieving E

Clinical Neurophysiology · 1

Semeux-Bernier A, Bonini F, Villalon SM, et al.

Epilepsy Currents · 1

Bernard C, Buchanan GF, Koubeissi MZ, et al.

Seizure occurrence in epilepsy is governed by biological rhythms, challenging the traditional view of seizures as random events. Circadian and multidien cycles shape seizure risk, with patient-specific chronotypes and stable temporal patterns observed across epilepsy types. The Molecular Oscillations and Rhythmicity of Epilepsy hypothesis posits that molecular oscillations—particularly those involving core clock genes and region-specific protein expression—create dynamic windows of increased seizure susceptibility. In epilepsy, these rhythms are altered, amplifying seizure risk through metabolic and genetic reorganization. Seizure timing is also modulated by hormonal cycles in women with catamenial epilepsy. Estrogen promotes seizures, while progesterone and its metabolite allopregnanolone are protective. Three distinct catamenial patterns guide diagnosis and treatment, though evidence for hormonal therapies remains limited. Personalized approaches, including adjunctive medications and cycle-specific dosing, may reduce seizure burden. Importantly, sudden unexpected death in epilepsy predominantly occurs at night, implicating sleep, circadian timing, and environmental factors. Noctu

Science Advances · 1

Sip V, Hashemi M, Dickscheid T, et al.

Une méthode guidée par les données infère simultanément le modèle de masse neuronale et les paramètres régionaux à partir de l'IRMf de repos, révélant des différences régionales de dynamique cérébrale.

Epilepsia · 1

Simula S, Garnier E, Contento M, et al.

Abstract Objective Stereoelectroencephalography‐guided radiofrequency thermocoagulation (SEEG‐guided RF‐TC) aims to reduce seizure frequency by modifying epileptogenic networks through local thermocoagulative lesions. Although RF‐TC is hypothesized to functionally modify brain networks, reports of changes in functional connectivity (FC) following the procedure are missing. We evaluated, by means of SEEG recordings, whether variation in brain activity after RF‐TC is related to clinical outcome. Methods Interictal SEEG recordings from 33 patients with drug‐resistant epilepsy (DRE) were analyzed. Therapeutic response was defined as a >50% reduction in seizure frequency for at least 1 month following RF‐TC. Local (power spectral density [PSD]) and FC changes were evaluated in 3‐min segments recorded shortly before (baseline), shortly after, and 15 min after RF‐TC. The PSD and FC strength values after thermocoagulation were compared with baseline as well as between the responder and nonresponder groups. Results In responders, we found a significant reduction in PSD after RF‐TC in channels that were thermocoagulated for all frequency bands ( p = .007 for broad, delta and theta, p <

Journal of Neurophysiology · 1

Kobliska P, Seropian L, Becker Y, et al.

This study identifies middle-latency vestibular-evoked potentials as reliable cerebral markers of otolithic information processing. We show that both Na/Pa and N*/P* are selectively modulated by body orientation for otolithic-activating sounds but not for auditory controls. These findings reveal that early otolithic vestibular processing depends on body orientation, extending current models of multisensory vestibular integration.

Therapeutic Drug Monitoring · 1

Baklouti S, Mané C, Bennis Y, et al.

Background: Ceftobiprole is a broad-spectrum cephalosporin. It is currently approved for the treatment of community- and hospital-acquired pneumonia. However, the recommended dosage regimen of ceftobiprole may not be sufficient to achieve the optimal pharmacokinetic/pharmacodynamic criterion in critically ill patients. The study aimed to evaluate whether the dosage regimens proposed by the manufacturers ensure that the optimal pharmacokinetic/pharmacodynamic criterion is achieved in over 90% of critically ill patients. Methods: Ceftobiprole concentrations were measured in 27 patients admitted to intensive care unit. An external evaluation of published population pharmacokinetic models was performed using simulations. The model that best described the data was used to evaluate the dosage regimens proposed for intensive care unit patients by evaluating the probability of attaining the optimal pharmacokinetic/pharmacodynamic criterion (100% fT > 4 * minimum inhibitory concentration). In addition, the same model was used to suggest dosage regimen adjustments for these patients. Results: Of the 4 models evaluated, Muller's population pharmacokinetic model was selected as the best for

Therapies · 1

Lacroix C, Guilhaumou R, Micallef J, et al.

eLife · 1

Schwab-Mohamed I, Mercier MR, Trebuchon A, et al.

Our use of language, which is profoundly social in nature, essentially takes place in interactive contexts and is shaped by precise coordination dynamics that interlocutors must observe. Thus, language interaction is highly demanding on fast adjustment of speech production. Here, we developed a real-time coupled-oscillators virtual partner (VP) that allows – by changing the coupling strength parameters – to modulate the ability to synchronise speech with a virtual speaker. Then, we recorded the intracranial brain activity of 16 patients with drug-resistant epilepsy while they performed a verbal coordination task with the VP. More precisely, patients had to repeat short sentences synchronously with the VP. This synchronous speech task is efficient to highlight both the dorsal and ventral language pathways. Importantly, combining time-resolved verbal coordination and neural activity shows more spatially differentiated patterns and different types of neural sensitivity along the dorsal pathway. More precisely, high-frequency activity (HFa) in left secondary auditory regions is highly sensitive to verbal coordinative dynamics, while primary regions are not. Finally, while bilateral eng

Journal of Speech, Language, and Hearing Research · 1

Mazzocconi C, Hidalgo C, Hallart C, et al.

Purpose: Children who are deaf and hard of hearing (DHH) often face challenges in everyday social communication, even when they achieve good auditory recovery through hearing technologies. These difficulties, particularly in pragmatic and interactional domains, can affect peer relationships, educational outcomes, and quality of life. This study aims to characterize interactional and discourse-level challenges in DHH children with functional auditory access to inform targeted interventions. Method: We analyzed dyadic child–adult interactions involving nine DHH and 13 typically hearing (TH) children (ages 6–11 years), all using oral language. The DHH group included users of bilateral cochlear implants (CIs), bimodal devices (CI + hearing aid), and bilateral hearing aids. Each child interacted with an adult in a referential (treasure-hunting) task, alternated with child-led subtasks (e.g., storytelling). We adopted a multilevel analysis approach ranging from acoustics to pragmatics: acoustic features, turn-taking, laughter and their convergence, and dialogue acts. Results: Turn-taking and acoustic alignment (fundamental frequency, intensity, syllable rate) were similar across groups.

Brain and Spine · 1

Tyrand R, Iannotti GR, Bartolomei F, et al.

Network Neuroscience · 1

Azilinon M, Wang HE, Makhalova J, et al.

Abstract Patients presenting with drug-resistant epilepsy are eligible for surgery aiming to remove the regions involved in the production of seizure activities, the so-called epileptogenic zone network (EZN). Thus the accurate estimation of the EZN is crucial. Data-driven, personalized virtual brain models derived from patient-specific anatomical and functional data are used in Virtual Epileptic Patient (VEP) to estimate the EZN via optimization methods from Bayesian inference. The Bayesian inference approach used in previous VEP integrates priors, based on the features of stereotactic-electroencephalography (SEEG) seizures’ recordings. Here, we propose new priors, based on quantitative 23Na-MRI. The 23Na-MRI data were acquired at 7T and provided several features characterizing the sodium signal decay. The hypothesis is that the sodium features are biomarkers of neuronal excitability related to the EZN and will add additional information to VEP estimation. In this paper, we first proposed the mapping from 23Na-MRI features to predict the EZN via a machine learning approach. Then, we exploited these predictions as priors in the VEP pipeline. The statistical results demonstrated tha

European Journal of Neuroscience · 1

Polverino A, Troisi Lopez E, Minino R, et al.

Abstract Although the aetio‐pathogenesis of inflammatory bowel diseases (IBD) is not entirely clear, the interaction between genetic and adverse environmental factors may induce an intestinal dysbiosis, resulting in chronic inflammation having effects on the large‐scale brain network. Here, we hypothesized inflammation‐related changes in brain topology of IBD patients, regardless of the clinical form [ulcerative colitis (UC) or Crohn's disease (CD)]. To test this hypothesis, we analysed source‐reconstructed magnetoencephalography (MEG) signals in 25 IBD patients (15 males, 10 females; mean age ± SD, 42.28 ± 13.15; mean education ± SD, 14.36 ± 3.58) and 28 healthy controls (HC) (16 males, 12 females; mean age ± SD, 45.18 ± 12.26; mean education ± SD, 16.25 ± 2.59), evaluating the brain topology. The betweenness centrality (BC) of the left hippocampus was higher in patients as compared with controls, in the gamma frequency band. It indicates how much a brain region is involved in the flow of information through the brain network. Furthermore, the comparison among UC, CD and HC showed statistically significant differences between UC and HC and between CD and HC, but not between the tw

Frontiers in Neuroscience · 1

Cipriano L, Liparoti M, Troisi Lopez E, et al.

Background Brain connectome fingerprinting represents a recent and valid approach in assessing individual identifiability on the basis of the subject-specific brain functional connectome. Although this methodology has been tested and validated in several neurological diseases, its performance, reliability and reproducibility in healthy individuals has been poorly investigated. In particular, the impact of the changes in brain connectivity, induced by the different phases of the menstrual cycle (MC), on the reliability of this approach remains unexplored. Furthermore, although the modifications of the psychological condition of women during the MC are widely documented, the possible link with the changes of brain connectivity has been poorly investigated. Methods We conducted the Clinical Connectome Fingerprint (CCF) analysis on source-reconstructed magnetoencephalography signals in a cohort of 24 women across the MC. Results All the parameters of identifiability did not differ according to the MC phases. The peri-ovulatory and mid-luteal phases showed a less stable, more variable over time, brain connectome compared to the early follicular phase. This difference in brain connectome

AIMS Neuroscience · 1

Ciaramella F, Cipriano L, Lopez ET, et al.

<p>Personality can be considered a system characterized by complex dynamics that are extremely adaptive depending on continuous interactions with the environment and situations. The present preliminary study explores the dynamic interplay between brain flexibility and personality by taking the dynamic approach to personality into account, thereby drawing from Cloninger's psychobiological model. 46 healthy individuals were recruited, and their brain dynamics were assessed using magnetoencephalography (MEG) during the resting state. We identified brain activation patterns and measured brain flexibility by employing the theory of neuronal avalanches. Subsequent correlation analyses revealed a significant positive association between brain flexibility and cooperativeness, thus highlighting the role of brain reconfiguration tendencies in fostering openness, tolerance, and empathy towards others. Additionally, this preliminary finding suggests a neurobiological basis for adaptive social behaviors. Although the results are preliminary, this study provides initial insights into the intricate relationship between brain dynamics and personality, thus laying the groundwork for further r

PLOS Computational Biology · 1

Saggio ML, Jirsa V

Analyse mathématique du modèle Epileptor : les transitions entre états interictal et ictal correspondent à des bifurcations, fournissant une taxonomie des crises fondée sur leur dynamique sous-jacente.

Epileptic Disorders · 1

Feys O, Bartolomei F

Journal of Clinical Neurophysiology · 1

Jacobs J, Klotz KA, Pizzo F, et al.

Summary: Stereo-EEG is a widely used method to improve the diagnostic precision of presurgical workup in patients with refractory epilepsy. Its ability to detect epileptic activity and identify epileptic networks largely depends on the chosen implantation strategy. Even in an ideal situation, electrodes record activity generated in <10% of the brain and contacts only record from brain tissue in their immediate proximity. In this article, the authors discuss how recording stereo-EEG simultaneously with other diagnostic methods can improve its diagnostic value in clinical and research settings. It can help overcome the limited spatial coverage of intracranial recording and better understand the sources of epileptic activity. Simultaneous scalp EEG is the most widely available method, often used to understand large epileptic networks, seizure propagation, and EEG activity occurring on the contralateral hemisphere. Simultaneous magnetoencephalography allows for more precise source localization and identification of deep sources outside the stereo-EEG coverage. Finally, simultaneous functional MRI can highlight metabolic changes following epileptic activity and help understand the wi

Brain · 1

Mercier M

This scientific commentary refers to ‘White matter signals reflect information transmission between brain regions during seizures’ by Revell et al. (https://doi.org/10.1093/brain/awaf444).

Signal, Image and Video Processing · 1

Ben Mbarek M, Assali I, Hamdi S, et al.

Communications Biology · 1

Serin E, Ritter K, Schumann G, et al.

Therapies · 1

Lacroix C, Jouve E, Pochard L, et al.

Toxicologie Analytique et Clinique · 1

Micallef J, Raingeard T, Jouve Jouve E, et al.

Cerebral Cortex · 1

Robert P, Zatorre R, Gupta A, et al.

Abstract What is the function of auditory hemispheric asymmetry? We propose that the identification of sound sources relies on the asymmetric processing of two complementary and perceptually relevant acoustic invariants: actions and objects. In a large dataset of environmental sounds, we observed that temporal and spectral modulations display only weak covariation. We then synthesized auditory stimuli by simulating various actions (frictions) occurring on different objects (solid surfaces). Behaviorally, discrimination of actions relies on temporal modulations, while discrimination of objects relies on spectral modulations. Functional magnetic resonance imaging data showed that actions and objects are decoded in the left and right hemispheres, respectively, in bilateral superior temporal and left inferior frontal regions. This asymmetry reflects a generic differential processing—through differential neural sensitivity to temporal and spectral modulations present in environmental sounds—that supports the efficient categorization of actions and objects. These results support an ecologically valid framework of the functional role of auditory brain asymmetry.

Cognition · 1

Berthault E, Chen S, Falk S, et al.

Cognitive, Affective, & Behavioral Neuroscience · 1

Belo J, Clerc M, Schon D

La capacité d'inhibition attentionnelle d'un individu prédit la qualité de la représentation neuronale lors d'une tâche exigeante de ségrégation auditive.

Glial Engineering and Glial Interfaces · 1

Kiani N, Abubakar K, Ivanov A, et al.

Advanced Science · 1

Afnan J, Fratello M, Bonini F, et al.

ABSTRACT Due to the ill‐posed nature of source imaging, EEG/MEG source localization remains challenging, particularly for localizing deep brain activity and resting‐state signals with low signal‐to‐noise ratios. Functional connectivity estimated by EEG/MEG is further affected by source‐leakage, a spatial blurring effect that complicates interpretation. Validation is therefore essential before applying EEG/MEG source imaging in clinical contexts. Using simultaneous MEG and stereotactic EEG (SEEG) recordings from patients with focal epilepsy, we present a comprehensive validation of MEG source imaging of epileptic discharges, resting‐state oscillations, and connectivity. Virtual SEEG was computed from MEG source maps to enable direct quantitative comparison with in situ SEEG. Using the Maximum Entropy on the Mean method, MEG localized the generators of epileptic spikes with a median error of 15 ± 12 mm, with deep generators showing larger errors. MEG‐derived resting‐state power showed significant spatial correlations with SEEG, with frequency‐specific correspondence, stronger in the alpha and beta bands than in the theta band. MEG functional connectomes estimated using leakage‐correc

Entropy · 1

Wang HE, Gonzalez-Martinez J, Jirsa V, et al.

Functional connectivity and its dynamic reconfiguration during cognitive tasks offer valuable insights into the neural mechanisms underlying cognitive functions. The dorsal language stream plays a crucial role in linking auditory and visual information with motor functions during language-related tasks. In this study, we investigated the dynamic functional connectivity of brain regions within the dorsal stream across five cognitive tasks using invasive stereoelectroencephalography (SEEG) recordings from patients with drug-resistant epilepsy. Our results reveal distinguishable functional connectivity patterns across various cognitive tasks using clustering algorithms. Furthermore, we were able to identify specific cognitive tasks based on their unique functional connectivity signatures, with a median of accuracy 0.91. Additionally, we identified key brain regions with strong connectivity roles and high variability across tasks. We analyzed source (out-degree) and sink (in-degree) regions during the picture naming, ba/pa, and oddball tasks, highlighting both shared and task-specific connectivity patterns. Among the twenty or so brain regions displaying a median in- and out-degree &gt

Clinical Neurophysiology · 1

Bénar CG, Medina Villalon S, Kanzari K, et al.

Brain Communications · 1

Didic M, De Anna F, Altmayer V, et al.

Didic et al. describe the emergence of visual artistic abilities in frontotemporal dementia, moving beyond the traditional focus on dysfunction. Integrating the patient’s wife’s testimony with clinical, network-based and philosophical perspectives, they show how artistic production can become a mode of communication and challenge conventional boundaries between pathology and creativity.

Journal of Neuroscience Methods · 1

Colombet B, Woodman M, Badier JM, et al.

Le logiciel ouvert AnyWave pour visualiser et traiter des signaux EEG, SEEG et MEG.

Therapies · 1

Lacroix C, Pietri T, Montero V, et al.

Journal of Clinical Medicine · 1

Ambrosanio M, Troisi Lopez E, Autorino MM, et al.

Background: Parkinson’s disease (PD) is a progressive neurodegenerative disorder that manifests through motor and non-motor symptoms. Understanding the alterations in brain connectivity associated with PD remains a challenge that is crucial for enhancing diagnosis and clinical management. Methods: This study utilized Magnetoencephalography (MEG) to investigate brain connectivity in PD patients compared to healthy controls (HCs) by applying eigenvector centrality (EC) measures across different frequency bands. Results: Our findings revealed significant differences in EC between PD patients and HCs in the alpha (8–12 Hz) and beta (13–30 Hz) frequency bands. To go into further detail, in the alpha frequency band, PD patients in the frontal lobe showed higher EC values compared to HCs. Additionally, we found statistically significant correlations between EC measures and clinical impairment scores (UPDRS-III). Conclusions: The proposed results suggest that MEG-derived EC measures can reveal important alterations in brain connectivity in PD, potentially serving as biomarkers for disease severity.

International Journal of Molecular Sciences · 1

Ponomareva D, Ivanov A, Bregestovski P

The pentose phosphate pathway (PPP) is one of three major pathways involved in glucose metabolism, which is regulated by glucose-6-phosphate dehydrogenase (G6PD) controls NADPH formation. NADPH, in turn, regulates the balance of oxidative stress and reactive oxygen species (ROS) levels. G6PD dysfunction, affecting the PPP, is implicated in neurological disorders, including epilepsy. However, PPP’s role in epileptogenesis and ROS production during epileptic activity remains unclear. To clarify these points, we conducted electrophysiological and imaging analyses on mouse hippocampal brain slices. Using the specific G6PD inhibitor G6PDi−1, we assessed its effects on mouse hippocampal slices, examining intracellular ROS, glucose/oxygen consumption, the NAD(P)H level and ROS production during synaptic stimulation and in the 4AP epilepsy model. G6PDi−1 increased basal intracellular ROS levels and reduced synaptically induced glucose consumption but had no impact on baselevel of NAD(P)H and ROS production from synaptic stimulation. In the 4AP model, G6PDi−1 did not significantly alter spontaneous seizure frequency or H2O2 release amplitude but increased the frequency and peak amplitude of

Fundamental & Clinical Pharmacology · 1

Daveluy A, Bryan MC, Miremont‐Salamé G, et al.

Abstract Background The combination dextropropoxyphene/paracetamol (DXP/P) was the most prescribed opioid analgesic until its withdrawal in 2011. Objectives This study investigated dispensations of analgesics in chronic users of DXP/P during the 18 months following its withdrawal. Methods A cross‐sectional study repeated yearly was conducted by using the French reimbursement database from 2006 to 2015. Chronic DXP/P users were defined as patients who received at least 40 boxes of DXP/P in the year prior to withdrawal. Data on analgesic dispensing were analyzed at DXP/P withdrawal (T0) and then every 6 months for 18 months. Results A total of 63 671 subjects had a DXP/P reimbursement in the year prior to its discontinuation, of whom 7.1% were identified as chronic users (mean age: 71.5 years, women: 68.7%). Among the patients taking DXP/P alone at T0 (74.6%), one fourth switched to a peripheral analgesic, one fourth to a combination of peripheral analgesic/opioid, one fourth to another opioid, and the others mainly discontinued their treatment (14.1%) or died. During the following 12 months, most of the subjects taking only peripheral analgesics continued this treatment, while half

Epilepsy & Behavior Reports · 1

Sabadell V, Trébuchon A, Alario FX

Lecture Notes in Computer Science · 1

Baldy N, Woodman MM, Jirsa VK

Clinical Neurophysiology · 1

Polverino A, Troisi Lopez E, Liparoti M, et al.

Brain · 1

Villani F, Mattioli P, Bartolomei F, et al.

Abstract For a long time, epilepsy has been associated with violent behaviour, acquiring a highly stigmatising reputation, shaped mainly by 19th-century medical theories that postulated a direct connection between epilepsy and the criminal personality. Such stigma exerts a negative effect on the quality of life of people with epilepsy and remains a significant concern in forensic settings. This narrative review aims to thoroughly explore the relationship between epilepsy and aggression, highlighting the misconceptions that contribute to this stigma. The evidence presented in this review draws on the authors’ experience and a PubMed search conducted in December 2024. The manuscript is organized into five chapters, addressing: (1) the historical and cultural background of epilepsy and violence; (2) the clinical features of aggression as a peri-ictal manifestation; (3) the neural networks underlying aggression in epilepsy; (4) aggression in sleep-related disorders, an area closely related to epilepsy, where clinical interest and reports of sleep-related violent episodes have progressively increased in recent years; and finally, (5) forensic considerations. In total, 326 records were i

Nature Reviews Neuroscience · 1

Segobin S, Haast RAM, Kumar VJ, et al.

Exploration of Neuroscience · 1

Banerjee S, Jirsa V

Epilepsy, a neurological disorder characterized by recurrent seizures, presents a complex interplay of cellular and molecular mechanisms. The symptoms manifest themselves at various scales, from ion channels to brain regions to behavior in humans. Various screening, treatment, and preventive measures use this knowledge to tackle the disorder effectively. This article aims to summarize the current state of the art in epileptic markers from ion channels, astrocytes, and synaptic imbalance to whole brain Network Dynamics. Recent research has shed light on the critical involvement of astrocytes, the multifunctional glial cells, in the pathogenesis and modulation of epileptic seizures in humans. Astrocytes, once considered as mere supportive cells, are now recognized as active participants in the regulation of neuronal excitability, synaptic transmission, and brain homeostasis. Ion channel imbalance is one of the widely studied areas in the context of epilepsy and is partially addressed in the abstract. Recent advances in computational neuroscience have led to the development of whole brain network models, providing valuable tools for studying the complex dynamics of epileptic seizures.

Nature Mental Health · 1

Neidhart M, Kjelkenes R, Jansone K, et al.

2024 10th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob) · 1

Pinheiro C, Figueiredo J, Cerqueira J, et al.

Journal of Computational Neuroscience · 1

Depannemaecker D, Duprat C, Casagrande G, et al.

IRBM · 1

Miranda B, Pinheiro C, Gonçalves HR, et al.

npj Systems Biology and Applications · 1

Runfola C, Petkoski S, Sheheitli H, et al.

Neural Computation · 1

Alexandersen CG, Duprat C, Ezzati A, et al.

Abstract Mean-field models are a class of models used in computational neuroscience to study the behavior of large populations of neurons. These models are based on the idea of representing the activity of a large number of neurons as the average behavior of mean-field variables. This abstraction allows the study of large-scale neural dynamics in a computationally efficient and mathematically tractable manner. One of these methods, based on a semianalytical approach, has previously been applied to different types of single-neuron models, but never to models based on a quadratic form. In this work, we adapted this method to quadratic integrate-and-fire neuron models with adaptation and conductance-based synaptic interactions. We validated the mean-field model by comparing it to the spiking network model. This mean-field model should be useful to model large-scale activity based on quadratic neurons interacting with conductance-based synapses.

Jasper's Basic Mechanisms of the Epilepsies · 1

Sheheitli H, Wang H, Lemarechal JD, et al.

Abstract Patient stratification according to seizure types is a pivotal step in the diagnosis and treatment of epilepsy. Great progress has been made in the understanding of the pathology and physiological substrates of epilepsy, leading to formal classification schemes based on empirical clinical features. However, much remains elusive regarding the mechanisms underlying seizures and the heterogeneity of its manifestations, which formal classification schemes attempt to capture. In the pursuit of a fundamental theory of seizure dynamics, dynamical systems theory provides the mathematical framework for a mechanistic understanding for the underlying dynamical processes. Within this framework, the need for a classification of seizures based on dynamics becomes evident. The diverse types of seizure onset and offset patterns are shown to be captured mathematically by different types of bifurcations that exhibit canonical invariant dynamical features. A seizure can then be classified into a corresponding “dynamotype” consisting of its onset and offset pair of bifurcations. Sixteen dynamotypes arise as combinations of the simplest relevant bifurcations, resulting in an organizational tax

The Journal of the Acoustical Society of America · 1

Macherey O, Chatron J, Roman S, et al.

Two experiments tested the hypothesis that adaptation of the neural response to pulsatile stimuli is greatest at high pulse rates. In experiment 1, normal-hearing listeners loudness-balanced bandpass-filtered harmonic complexes having different envelope repetition rates. The complexes had durations of 40, 120, or 400 ms and resembled filtered pulse trains. All had a fundamental frequency of 50 Hz and were generated using different component phase relationships to yield repetition rates of 50, 100, 200, or 450 pulses per second (pps). In experiment 2, cochlear-implant listeners loudness-balanced electrical pulse trains presented to a single electrode, also at durations of 40, 120, and 400 ms. The pulse trains had rates of 100 and 2000 pps. Both experiments showed that lower-rate stimuli needed a higher level to match the loudness of higher-rate stimuli, with this effect decreasing with increasing duration. In experiment 2, this duration effect was only observed in trials where the 2000-pps train was presented before the 100-pps train, consistent with the idea that participants compared the end of the first stimulus in each trial to the start of the second. We conclude that the resul

Imaging Neuroscience · 1

Aguilera M, Mathis C, Herbeaux K, et al.

Abstract Visual gamma entrainment using sensory stimuli (vGENUS) is a promising non-invasive therapeutic approach for Alzheimer’s disease (AD), showing efficacy in improving memory function. However, its mechanisms of action remain poorly understood. Using young AppNL-F/MAPT double knock-in (dKI) mice, a model of early AD, we examined brain dynamics alterations before amyloid plaque onset. High-density EEG recordings and metrics from fields outside neuroscience were used to assess brain dynamics fluidity—a measure of the brain’s ability to transition between activity states. We revealed that dKI mice exhibit early, awake state-specific reductions in brain dynamics fluidity associated with cognitive deficits in complex memory tasks. Daily vGENUS sessions over 2 weeks restored brain dynamics fluidity and rescued memory deficits in dKI mice. Importantly, these effects built up during the stimulation protocol and persisted after stimulation ended, suggesting long-term modulation of brain function. Based on these results, we propose a “brain dynamics repair” mechanism for vGENUS that goes beyond current amyloid-centric hypotheses. This dual insight—that brain dynamics are both a target

Epilepsia · 1

De Clerck L, Pelliccia V, Carron R, et al.

Abstract Periventricular nodular heterotopia (PVNH) is a neuronal migration disorder often associated with drug‐resistant epilepsy. The epileptogenic zone network (EZN) in PVNH is generally large, contraindicating surgery. Stereoelectroencephalography (SEEG) can be proposed to map the EZN and perform radiofrequency thermocoagulation (THC) with an efficacy rate of approximately 65%. There are genetic forms of PVNH, particularly with mutations in the filamin A gene ( FLNA ). However, data on SEEG‐guided THC in these patients still have not been described. We report four patients with FLNA ‐positive PVNH who underwent SEEG‐guided THC. All were women with several types of seizures and psychiatric comorbidities. EZN was extensive and often bilateral, including a part of the heterotopias. The outcomes of SEEG‐guided THC varied; two patients experienced significant seizure reduction and improvement in psychiatric symptoms (Engel class I–II), one showed partial improvement (Engel class III), and one had no significant benefit (Engel class IV). Psychiatric comorbidities, including posttraumatic stress disorder, depression, and anxiety, were present in all cases, with some patients showing s

Epilepsia · 1

Zanello M, Garnier E, Carron R, et al.

Abstract Nodular heterotopia (NH)–related drug‐resistant epilepsy is challenging due to the deep location of the NH and the complexity of the underlying epileptogenic network. Using ictal stereo‐electroencephalography (SEEG) and functional connectivity (FC) analyses in 14 patients with NH‐related drug‐resistant epilepsy, we aimed to determine the leading structure during seizures. For this purpose, we compared node IN and OUT strength between bipolar channels inside the heterotopia and inside gray matter, at the group level and at the individual level. At seizure onset, the channels within NH belonging to the epileptogenic and/or propagation network showed higher node OUT‐strength than the channels within the gray matter ( p = .03), with higher node OUT‐strength than node IN‐strength ( p = .03). These results are in favor of a “leading” role of NH during seizure onset when involved in the epileptogenic‐ or propagation‐zone network (50% of patients). However, when looking at the individual level, no significant difference between NH and gray matter was found, except for one patient (in two of three seizures). This result confirms the heterogeneity and the complexity of the epileptog