Markov Model-Based Method to Analyse Time-Varying Networks in EEG Task-Related Data

Markov Model-Based Method to Analyse Time-Varying Networks in EEG Task-Related Data

The dynamic nature of functional brain networks is being increasingly recognized in cognitive neuroscience, and methods to analyse such time-varying networks in EEG/MEG data are required. In this work, we propose a pipeline to characterize time-varying networks in single-subject EEG task-related dat...

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Bibliographic Details
Main Authors: Nitin J. Williams, Ian Daly, Slawomir J. Nasuto
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-09-01
Series:Frontiers in Computational Neuroscience
Subjects:
EEG/MEG dynamic connectivity
EEG/MEG time-varying networks
sparse-MVAR modeling
markov modeling
granger causality
effective connectivity
Online Access:https://www.frontiersin.org/article/10.3389/fncom.2018.00076/full

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https://www.frontiersin.org/article/10.3389/fncom.2018.00076/full

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