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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Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2013
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3635030/
https://www.ncbi.nlm.nih.gov/pubmed/23630491
http://dx.doi.org/10.3389/fncom.2013.00038

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3635030/
https://www.ncbi.nlm.nih.gov/pubmed/23630491
http://dx.doi.org/10.3389/fncom.2013.00038

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