Tackling the challenges of group network inference from intracranial EEG data

Tackling the challenges of group network inference from intracranial EEG data

IntroductionIntracranial 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 netwo...

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Bibliographic Details
Main Authors:	Anna Pidnebesna, Pavel Sanda, Adam Kalina, Jiri Hammer, Petr Marusic, Kamil Vlcek, Jaroslav Hlinka
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2022-12-01
Series:	Frontiers in Neuroscience
Subjects:	connectivity analysis Phase Locking Value Directed Transfer Function intracranial EEG information flow visual pathways
Online Access:	https://www.frontiersin.org/articles/10.3389/fnins.2022.1061867/full

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