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

ABSTRACT: 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, we use fMRI data from the Baby Connectome Project study to measure the reliability and uniqueness of rsFC in infants and toddlers and predict age in this sample (8-to-26 months old; n = 170). We observed medium reliability for within-session infant rsFC in our sample, and found that individual infant and toddler's connectomes were sufficiently distinct for successful functional connectome fingerprinting. Next, we trained and tested support vector regression models to predict age-at-scan with rs

SUBMITTER: Kardan O 

PROVIDER: S-EPMC9234342 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature