Assessment of Multivariate Neural Time Series by Phase Synchrony Clustering in a Time-Frequency-Topography Representation

Most EEG phase synchrony measures are of bivariate nature. Those that are multivariate focus on producing global indices of the synchronization state of the system. Thus, better descriptions of spatial and temporal local interactions are still in demand. A framework for characterization of phase syn...

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Detalles Bibliográficos
Autores principales: Porta-Garcia, M. A., Valdes-Cristerna, R., Yanez-Suarez, O.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5884284/
https://www.ncbi.nlm.nih.gov/pubmed/29755510
http://dx.doi.org/10.1155/2018/2406909

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5884284/
https://www.ncbi.nlm.nih.gov/pubmed/29755510
http://dx.doi.org/10.1155/2018/2406909

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