A5110930401- Epilepsy research and treatment
- Genomics and Rare Diseases
- Genetics and Neurodevelopmental Disorders
- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
- Blind Source Separation Techniques
- Fractal and DNA sequence analysis
Centre Hospitalier Universitaire de Rennes
2019-2024
Laboratoire Traitement du Signal et de l'Image
2021
Inserm
2021
CIC Rennes
2019-2021
Abstract Objective We aimed to delineate the phenotypic spectrum and long‐term outcome of individuals with KCNB1 encephalopathy. Methods collected genetic, clinical, electroencephalographic, imaging data pathogenic variants recruited through an international collaboration, support family association “KCNB1 France.” Patients were classified as having developmental epileptic encephalopathy (DEE) or (DE). In addition, we reviewed published cases provided in patients older than 12 years from our...
Computational modeling is a key tool for elucidating the neuronal mechanisms underlying epileptic activity. Despite considerable progress, existing models often lack realistic accuracy in representing electrophysiological In this study, we used comprehensive human brain model based on neural mass model, which tailored to layered structure of neocortex and incorporates patient-specific imaging data. This approach allowed simulation scalp EEGs an patient suffering from type 2 focal cortical...
Automatic detection of epileptic seizures is a very crucial step for diagnosing patients with drug-resistant epilepsies. If visual analysis long-term electroencephalographic signals the most reliable technique, automatic can help physicians in comparing and extracting common patterns. In this paper, new approach to classify background activity pre-ictal stereoelectroencephalographic proposed. Linear nonlinear features are extracted directly from derived intrinsic mode functions multivariate...