TY - JOUR
T1 - Personalized functional brain network topography is associated with individual differences in youth cognition
AU - Keller, Arielle S.
AU - Pines, Adam R.
AU - Shanmugan, Sheila
AU - Sydnor, Valerie J.
AU - Cui, Zaixu
AU - Bertolero, Maxwell A.
AU - Barzilay, Ran
AU - Alexander-Bloch, Aaron F.
AU - Byington, Nora
AU - Chen, Andrew
AU - Conan, Gregory M.
AU - Davatzikos, Christos
AU - Feczko, Eric
AU - Hendrickson, Timothy J.
AU - Houghton, Audrey
AU - Larsen, Bart
AU - Li, Hongming
AU - Miranda-Dominguez, Oscar
AU - Roalf, David R.
AU - Perrone, Anders
AU - Shetty, Alisha
AU - Shinohara, Russell T.
AU - Fan, Yong
AU - Fair, Damien A.
AU - Satterthwaite, Theodore D.
N1 - Publisher Copyright:
© 2023, The Author(s).
PY - 2023/12
Y1 - 2023/12
N2 - 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.
AB - 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.
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U2 - 10.1038/s41467-023-44087-0
DO - 10.1038/s41467-023-44087-0
M3 - Article
C2 - 38110396
AN - SCOPUS:85180128479
SN - 2041-1723
VL - 14
JO - Nature communications
JF - Nature communications
IS - 1
M1 - 8411
ER -