Hierarchical Spectral Consensus Clustering for Group Analysis of Functional Brain Networks

• 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

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...