Classification of magnetoencephalographic independent components in epilepsy by machine learning
Our study demonstrates both the potential and the technical limitations of ICA classification of epileptic and artifactual components.
Authors
- Aurore Semeux-Bernier
- Maria Fratello
- Francesca Bonini (ORCID: https://orcid.org/0000-0002-8941-6277)
- Matthieu Kowalski (ORCID: https://orcid.org/0000-0002-9981-237X)
- Samuel Médina Villalon (ORCID: https://orcid.org/0000-0002-7571-701X)
- Christian Bénar (ORCID: https://orcid.org/0000-0002-3339-1306)
- Jean‐Michel Badier (ORCID: https://orcid.org/0000-0002-7272-6455)
- Frédéric Richard
Institutions
- Centre National de la Recherche Scientifique (FR)
- Inserm (FR)
- Aix-Marseille Université (FR)
- Université Paris-Saclay (FR)
- Institut de Neurosciences des Systèmes (FR)
- Institut Polytechnique de Bordeaux (FR)
Publication Details
- Journal
- Clinical Neurophysiology
- Published
- 2025-10-09
- DOI
- https://doi.org/10.1016/j.clinph.2025.2111377
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Aix-Marseille Université
- Agence Nationale de la Recherche
- CHIST-ERA