Differences in the functional brain architecture of sustained attention and working memory in youth and adults

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

PLOS Biology, 2022, vol. 20, issue 12, 1-33

Abstract: 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- to 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 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 2 network configurations: a dominant architecture predicting performance in both age groups and a secondary architecture, more prominent for WM than SA, predicting performance in each age group differently. Thus, functional connectivity (FC) predicts SA and WM in youth, with networks predicting WM performance differing more between youths and adults than those predicting SA.Which brain networks support sustained attention (SA) and working memory (WM) during development? This study shows that adult functional brain network models predict individual differences and within-person changes in pre-adolescents’ SA and WM performance.

Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pbio00:3001938

DOI: 10.1371/journal.pbio.3001938

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