Cargando…
A computational biomarker of juvenile myoclonic epilepsy from resting-state MEG
OBJECTIVE: For people with idiopathic generalized epilepsy, functional networks derived from their resting-state scalp electrophysiological recordings have shown an inherent higher propensity to generate seizures than those from healthy controls when assessed using the concept of brain network ictog...
Autores principales: | Lopes, Marinho A., Krzemiński, Dominik, Hamandi, Khalid, Singh, Krish D., Masuda, Naoki, Terry, John R., Zhang, Jiaxiang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7992031/ https://www.ncbi.nlm.nih.gov/pubmed/33636607 http://dx.doi.org/10.1016/j.clinph.2020.12.021 |
Ejemplares similares
-
Energy landscape of resting magnetoencephalography reveals fronto-parietal network impairments in epilepsy
por: Krzemiński, Dominik, et al.
Publicado: (2020) -
Juvenile myoclonic epilepsy shows increased posterior theta, and reduced sensorimotor beta resting connectivity
por: Routley, Bethany, et al.
Publicado: (2020) -
A Computational Biomarker of Photosensitive Epilepsy from Interictal EEG
por: Lopes, Marinho A., et al.
Publicado: (2022) -
Trait impulsivity in Juvenile Myoclonic Epilepsy
por: Shakeshaft, Amy, et al.
Publicado: (2020) -
Hyperconnectivity in juvenile myoclonic epilepsy: A network analysis
por: Caeyenberghs, K., et al.
Publicado: (2014)