Multi-subject Stochastic Blockmodels for adaptive analysis of individual differences in human brain network cluster structure

Multi-subject Stochastic Blockmodels for adaptive analysis of individual differences in human brain network cluster structure

There is considerable interest in elucidating the cluster structure of brain networks in terms of modules, blocks or clusters of similar nodes. However, it is currently challenging to handle data on multiple subjects since most of the existing methods are applicable only on a subject-by-subject basi...

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Bibliographic Details
Main Authors: Dragana M. Pavlović, Bryan R.L. Guillaume, Emma K. Towlson, Nicole M.Y. Kuek, Soroosh Afyouni, Petra E. Vértes, B.T. Thomas Yeo, Edward T. Bullmore, Thomas E. Nichols
Format: Article
Language:English
Published: Elsevier 2020-10-01
Series:NeuroImage
Subjects:
Mixture models
Stochastic blockmodel
Stochastic block model
Community detection
Modularity
Variational approximation
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811920300987

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http://www.sciencedirect.com/science/article/pii/S1053811920300987

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