Hierarchical Spectral Consensus Clustering for Group Analysis of Functional Brain Networks

A central question in cognitive neuroscience is how cognitive functions depend on the integration of specialized widely distributed brain regions. In recent years, graph theoretical methods have been used to characterize the structure of the brain functional connectivity. In order to understand the...

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Veröffentlicht in:	IEEE transactions on biomedical engineering Jg. 62; H. 9; S. 2158 - 2169
Hauptverfasser:	Ozdemir, Alp, Bolanos, Marcos, Bernat, Edward, Aviyente, Selin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.09.2015
Schlagworte:	Algorithms Biomedical measurement Brain - physiology Brain Mapping - methods Cluster Analysis Clustering algorithms Communities Consensus clustering electroencephalogram (EEG) Electroencephalography Female Fiedler vector functional connectivity Humans Male Nerve Net - physiology Partitioning algorithms spectral clustering Symmetric matrices Vectors functional connectivity Fiedler vector Consensus clustering electroencephalogram (EEG) spectral clustering
ISSN:	0018-9294, 1558-2531, 1558-2531
Online-Zugang:	Volltext
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