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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Detalles Bibliográficos
Autores principales: Hu, Wanrou, Zhang, Zhiguo, Zhang, Li, Huang, Gan, Li, Linling, Liang, Zhen
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/PMC8882921/
https://www.ncbi.nlm.nih.gov/pubmed/35237121
http://dx.doi.org/10.3389/fnins.2022.812624

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8882921/
https://www.ncbi.nlm.nih.gov/pubmed/35237121
http://dx.doi.org/10.3389/fnins.2022.812624

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