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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Bibliographische Detailangaben
Hauptverfasser: 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
Sprache:Inglês
Veröffentlicht: Frontiers Media S.A. 2013
Schlagworte:
Neuroscience
Online Zugang: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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