Connectome-based predictions reveal developmental change in the functional architecture of sustained attention and working memory

Kavli Affiliate: Marvin Chun

| Authors: Omid Kardan, Andrew J Stier, Carlos Cardenas-Inigues, Julia C Pruin, Kathryn E Schertz, Yuting Deng, Taylor Chamberlain, Wesley J Meredith, Xihan Zhang, Jilian E Bowman, Tanvi Lakhtakia, Lucy Tindel, Emily W Avery, Qi Lin, Kwangsun Yoo, Marvin M Chun, Marc G Berman and Monica D Rosenberg

| Summary:

Sustained attention (SA) and working memory (WM) are critical processes, but the brain networks supporting these abilities in development are unknown. We characterized the functional brain architecture of SA and WM in 9–11-year-old children and adults. First, we found that adult network predictors of SA generalized to predict individual differences and fluctuations in SA in youth. A WM network model predicted WM performance both across and within children—and captured individual differences in later recognition memory—but underperformed in youth relative to adults. We next characterized functional connections differentially related to SA and WM in youth compared to adults. Results revealed two network configurations: a dominant architecture predicting performance in both age groups and a secondary architecture, more prominent for WM than SA, predicting performance in one. Thus, functional connectivity predicts SA and WM in youth, with networks predicting WM changing more from preadolescence to adulthood than those predicting SA.

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