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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Autors principals:	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:	Artigo
Idioma:	Inglês
Publicat:	Elsevier 2020-10-01
Col·lecció:	NeuroImage
Matèries:	Mixture models Stochastic blockmodel Stochastic block model Community detection Modularity Variational approximation
Accés en línia:	http://www.sciencedirect.com/science/article/pii/S1053811920300987
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