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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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| Publicado no: | Sci Rep |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6527859/ https://ncbi.nlm.nih.gov/pubmed/31110317 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-019-44103-8 |
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