Eigenvector Centrality Mapping for Analyzing Connectivity Patterns in fMRI Data of the Human Brain
Eigenvector Centrality Mapping for Analyzing Connectivity Patterns in fMRI Data of the Human Brain
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United States: Public Library of Science
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English
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United States: Public Library of Science
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Functional magnetic resonance data acquired in a task-absent condition ("resting state") require new data analysis techniques that do not depend on an activation model. In this work, we introduce an alternative assumption- and parameter-free method based on a particular form of node centrality called eigenvector centrality. Eigenvector centrality a...
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Eigenvector Centrality Mapping for Analyzing Connectivity Patterns in fMRI Data of the Human Brain
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TN_cdi_plos_journals_1289443582
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_1289443582
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ISSN
1932-6203
E-ISSN
1932-6203
DOI
10.1371/journal.pone.0010232
