Resting-state functional connectivity identifies individuals and predicts age in 8-to-26-month-olds

Resting-state functional connectivity identifies individuals and predicts age in 8-to-26-month-olds

Resting-state functional connectivity (rsFC) measured with fMRI has been used to characterize functional brain maturation in typically and atypically developing children and adults. However, its reliability and utility for predicting development in infants and toddlers is less well understood. Here,...

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Bibliographic Details
Main Authors: Omid Kardan, Sydney Kaplan, Muriah D. Wheelock, Eric Feczko, Trevor K.M. Day, Óscar Miranda-Domínguez, Dominique Meyer, Adam T. Eggebrecht, Lucille A. Moore, Sooyeon Sung, Taylor A. Chamberlain, Eric Earl, Kathy Snider, Alice Graham, Marc G. Berman, Kamil Uğurbil, Essa Yacoub, Jed T. Elison, Christopher D. Smyser, Damien A. Fair, Monica D. Rosenberg
Format: Article
Language:English
Published: Elsevier 2022-08-01
Series:Developmental Cognitive Neuroscience
Subjects:
Functional connectivity
FMRI
Reliability
Development
Machine learning
Age prediction
Online Access:http://www.sciencedirect.com/science/article/pii/S1878929322000664

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http://www.sciencedirect.com/science/article/pii/S1878929322000664

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