Tackling the challenges of group network inference from intracranial EEG data

INTRODUCTION: Intracranial EEG (iEEG) data is a powerful way to map brain function, characterized by high temporal and spatial resolution, allowing the study of interactions among neuronal populations that orchestrate cognitive processing. However, the statistical inference and analysis of brain net...

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Detalles Bibliográficos
Autores principales: Pidnebesna, Anna, Sanda, Pavel, Kalina, Adam, Hammer, Jiri, Marusic, Petr, Vlcek, Kamil, Hlinka, Jaroslav
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9752888/
https://www.ncbi.nlm.nih.gov/pubmed/36532288
http://dx.doi.org/10.3389/fnins.2022.1061867

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9752888/
https://www.ncbi.nlm.nih.gov/pubmed/36532288
http://dx.doi.org/10.3389/fnins.2022.1061867

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