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- Title
Personalized functional brain network topography is associated with individual differences in youth cognition.
- Authors
Keller, Arielle S.; Pines, Adam R.; Shanmugan, Sheila; Sydnor, Valerie J.; Cui, Zaixu; Bertolero, Maxwell A.; Barzilay, Ran; Alexander-Bloch, Aaron F.; Byington, Nora; Chen, Andrew; Conan, Gregory M.; Davatzikos, Christos; Feczko, Eric; Hendrickson, Timothy J.; Houghton, Audrey; Larsen, Bart; Li, Hongming; Miranda-Dominguez, Oscar; Roalf, David R.; Perrone, Anders
- Abstract
Individual differences in cognition during childhood are associated with important social, physical, and mental health outcomes in adolescence and adulthood. Given that cortical surface arealization during development reflects the brain's functional prioritization, quantifying variation in the topography of functional brain networks across the developing cortex may provide insight regarding individual differences in cognition. We test this idea by defining personalized functional networks (PFNs) that account for interindividual heterogeneity in functional brain network topography in 9–10 year olds from the Adolescent Brain Cognitive Development℠ Study. Across matched discovery (n = 3525) and replication (n = 3447) samples, the total cortical representation of fronto-parietal PFNs positively correlates with general cognition. Cross-validated ridge regressions trained on PFN topography predict cognition in unseen data across domains, with prediction accuracy increasing along the cortex's sensorimotor-association organizational axis. These results establish that functional network topography heterogeneity is associated with individual differences in cognition before the critical transition into adolescence. Individual differences in cognitive abilities during childhood are associated with important outcomes in adolescence. Here, the authors show associations between youth cognition and individual-specific patterns of cortical brain network organization.
- Subjects
LARGE-scale brain networks; INDIVIDUAL differences; COGNITION; TOPOGRAPHY; COGNITIVE ability
- Publication
Nature Communications, 2023, Vol 14, Issue 1, p1
- ISSN
2041-1723
- Publication type
Article
- DOI
10.1038/s41467-023-44087-0