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...

Full description

Saved in:

Bibliographic Details
Published in:	IEEE transactions on biomedical engineering Vol. 62; no. 9; pp. 2158 - 2169
Main Authors:	Ozdemir, Alp, Bolanos, Marcos, Bernat, Edward, Aviyente, Selin
Format:	Journal Article
Language:	English
Published:	United States IEEE 01.09.2015
Subjects:	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 Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!