Microstate Detection in Naturalistic Electroencephalography Data: A Systematic Comparison of Topographical Clustering Strategies on an Emotional Database

Microstate Detection in Naturalistic Electroencephalography Data: A Systematic Comparison of Topographical Clustering Strategies on an Emotional Database

Electroencephalography (EEG) microstate analysis is a powerful tool to study the spatial and temporal dynamics of human brain activity, through analyzing the quasi-stable states in EEG signals. However, current studies mainly focus on rest-state EEG recordings, microstate analysis for the recording...

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Bibliographic Details
Main Authors: Wanrou Hu, Zhiguo Zhang, Li Zhang, Gan Huang, Linling Li, Zhen Liang
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-02-01
Series:Frontiers in Neuroscience
Subjects:
EEG
microstate detection
naturalistic task
topographical clustering
bottom-up
top-down
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2022.812624/full

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https://www.frontiersin.org/articles/10.3389/fnins.2022.812624/full

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