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Unsupervised Learning of Functional Network Dynamics in Resting State fMRI

Research in recent years has provided some evidence of temporal non-stationarity of functional connectivity in resting state fMRI. In this paper, we present a novel methodology that can decode connectivity dynamics into a temporal sequence of hidden network “states” for each subject, using a Hidden...

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Hlavní autoři: Eavani, Harini, Satterthwaite, Theodore D., Gur, Raquel E., Gur, Ruben C., Davatzikos, Christos
Médium: Artigo
Jazyk:Inglês
Vydáno: 2013
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On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC3974209/
https://ncbi.nlm.nih.gov/pubmed/24683988
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