Group analysis of self-organizing maps based on functional MRI using restricted Frechet means

Studies of functional MRI data are increasingly concerned with the estimation of differences in spatio-temporal networks across groups of subjects or experimental conditions. Unsupervised clustering and independent component analysis (ICA) have been used to identify such spatio-temporal networks. Wh...

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Bibliographic Details
Published in:	NeuroImage (Orlando, Fla.) Vol. 76; pp. 373 - 385
Main Authors:	Fournel, Arnaud P., Reynaud, Emanuelle, Brammer, Michael J., Simmons, Andrew, Ginestet, Cedric E.
Format:	Journal Article
Language:	English
Published:	Amsterdam Elsevier Inc 01-08-2013 Elsevier Elsevier Limited Academic Press
Subjects:	Barycenter Biological and medical sciences Brain - physiology Brain Mapping - methods Clustering fMRI Frechet mean Fundamental and applied biological sciences. Psychology Group comparison Humans Image Processing, Computer-Assisted - methods Karcher mean Magnetic Resonance Imaging - methods Male Methods Multivariate analysis Neural Networks (Computer) Neurons Product development Random variables Self-organizing maps Unsupervised learning Vertebrates: nervous system and sense organs Young Adult fMRI Barycenter Group comparison Self-organizing maps Frechet mean Karcher mean Multivariate analysis Unsupervised learning Learning Acquisition process Nuclear magnetic resonance imaging Functional imaging
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