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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https://www.frontiersin.org/articles/10.3389/fnins.2022.1061867/full

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