Characterizing Functional Connectivity Differences in Aging Adults using Machine Learning on Resting State fMRI Data

The brain at rest consists of spatially distributed but functionally connected regions, called intrinsic connectivity networks (ICNs). Resting state functional magnetic resonance imaging (rs-fMRI) has emerged as a way to characterize brain networks without confounds associated with task fMRI such as...

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Main Authors: Vergun, Svyatoslav, Deshpande, Alok S., Meier, Timothy B., Song, Jie, Tudorascu, Dana L., Nair, Veena A., Singh, Vikas, Biswal, Bharat B., Meyerand, M. Elizabeth, Birn, Rasmus M., Prabhakaran, Vivek
Format: Artigo
Sprog:Inglês
Udgivet: Frontiers Media S.A. 2013
Fag:
Neuroscience
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC3635030/
https://ncbi.nlm.nih.gov/pubmed/23630491
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fncom.2013.00038
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