Combining classification with fMRI-derived complex network measures for potential neurodiagnostics.
Complex network analysis (CNA), a subset of graph theory, is an emerging approach to the analysis of functional connectivity in the brain, allowing quantitative assessment of network properties such as functional segregation, integration, resilience, and centrality. Here, we show how a classificatio...
Main Authors: | Tomer Fekete, Meytal Wilf, Denis Rubin, Shimon Edelman, Rafael Malach, Lilianne R Mujica-Parodi |
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Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2013-01-01
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Series: | PLoS ONE |
Online Access: | http://europepmc.org/articles/PMC3646016?pdf=render |
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