Decoding Time-Varying Functional Connectivity Networks via Linear Graph Embedding Methods

An exciting avenue of neuroscientific research involves quantifying the time-varying properties of functional connectivity networks. As a result, many methods have been proposed to estimate the dynamic properties of such networks. However, one of the challenges associated with such methods involves...

Descripción completa

Detalles Bibliográficos
Autores principales: Monti, Ricardo P., Lorenz, Romy, Hellyer, Peter, Leech, Robert, Anagnostopoulos, Christoforos, Montana, Giovanni
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5357637/
https://www.ncbi.nlm.nih.gov/pubmed/28373838
http://dx.doi.org/10.3389/fncom.2017.00014

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5357637/
https://www.ncbi.nlm.nih.gov/pubmed/28373838
http://dx.doi.org/10.3389/fncom.2017.00014

Ejemplares similares