Personalized functional brain network topography is associated with individual differences in youth cognition

Arielle S. Keller, Adam R. Pines, Sheila Shanmugan, Valerie J. Sydnor, Zaixu Cui, Maxwell A. Bertolero, Ran Barzilay, Aaron F. Alexander-Bloch, Nora Byington, Andrew Chen, Gregory M. Conan, Christos Davatzikos, Eric Feczko, Timothy J. Hendrickson, Audrey Houghton, Bart Larsen, Hongming Li, Oscar Miranda-Dominguez, David R. Roalf, Anders Perrone, Alisha Shetty, Russell T. Shinohara, Yong Fan, Damien A. Fair and Theodore D. Satterthwaite ()
Additional contact information
Arielle S. Keller: University of Pennsylvania
Adam R. Pines: University of Pennsylvania
Sheila Shanmugan: University of Pennsylvania
Valerie J. Sydnor: University of Pennsylvania
Zaixu Cui: Chinese Institute for Brain Research
Maxwell A. Bertolero: University of Pennsylvania
Ran Barzilay: University of Pennsylvania
Aaron F. Alexander-Bloch: University of Pennsylvania
Nora Byington: Medical School, University of Minnesota
Andrew Chen: University of Pennsylvania
Gregory M. Conan: Medical School, University of Minnesota
Christos Davatzikos: University of Pennsylvania
Eric Feczko: Medical School, University of Minnesota
Timothy J. Hendrickson: Medical School, University of Minnesota
Audrey Houghton: Medical School, University of Minnesota
Bart Larsen: University of Pennsylvania
Hongming Li: University of Pennsylvania
Oscar Miranda-Dominguez: Medical School, University of Minnesota
David R. Roalf: University of Pennsylvania
Anders Perrone: Medical School, University of Minnesota
Alisha Shetty: University of Pennsylvania
Russell T. Shinohara: University of Pennsylvania
Yong Fan: University of Pennsylvania
Damien A. Fair: Medical School, University of Minnesota
Theodore D. Satterthwaite: University of Pennsylvania

Nature Communications, 2023, vol. 14, issue 1, 1-14

Abstract: 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.

Date: 2023
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DOI: 10.1038/s41467-023-44087-0

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