Accurate age classification of 6 and 12 month-old infants based on resting-state functional connectivity magnetic resonance imaging data.

ABSTRACT: Human large-scale functional brain networks are hypothesized to undergo significant changes over development. Little is known about these functional architectural changes, particularly during the second half of the first year of life. We used multivariate pattern classification of resting-state functional connectivity magnetic resonance imaging (fcMRI) data obtained in an on-going, multi-site, longitudinal study of brain and behavioral development to explore whether fcMRI data contained information sufficient to classify infant age. Analyses carefully account for the effects of fcMRI motion artifact. Support vector machines (SVMs) classified 6 versus 12 month-old infants (128 datasets) above chance based on fcMRI data alone. Results demonstrate significant changes in measures of brain func

SUBMITTER: Pruett JR 

PROVIDER: S-EPMC4385423 | biostudies-literature | 2015 Apr

REPOSITORIES: biostudies-literature