Ranking Regions, Edges and Classifying Tasks in Functional Brain Graphs by Sub-Graph Entropy

This paper considers analysis of human brain networks or graphs constructed from time-series collected from functional magnetic resonance imaging (fMRI). In the network of time-series, the nodes describe the regions and the edge weights correspond to the absolute values of correlation coefficients o...

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Detalles Bibliográficos
Autores principales: Sen, Bhaskar, Chu, Shu-Hsien, Parhi, Keshab K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6527859/
https://www.ncbi.nlm.nih.gov/pubmed/31110317
http://dx.doi.org/10.1038/s41598-019-44103-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6527859/
https://www.ncbi.nlm.nih.gov/pubmed/31110317
http://dx.doi.org/10.1038/s41598-019-44103-8

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