Dissociable multi-scale patterns of development in personalized brain networks

Adam R. Pines, Bart Larsen, Zaixu Cui, Valerie J. Sydnor, Maxwell A. Bertolero, Azeez Adebimpe, Aaron F. Alexander-Bloch, Christos Davatzikos, Damien A. Fair, Ruben C. Gur, Raquel E. Gur, Hongming Li, Michael P. Milham, Tyler M. Moore, Kristin Murtha, Linden Parkes, Sharon L. Thompson-Schill, Sheila Shanmugan, Russell T. Shinohara, Sarah M. Weinstein, Danielle S. Bassett, Yong Fan and Theodore D. Satterthwaite ()
Additional contact information
Adam R. Pines: University of Pennsylvania
Bart Larsen: University of Pennsylvania
Zaixu Cui: University of Pennsylvania
Valerie J. Sydnor: University of Pennsylvania
Maxwell A. Bertolero: University of Pennsylvania
Azeez Adebimpe: University of Pennsylvania
Aaron F. Alexander-Bloch: University of Pennsylvania
Christos Davatzikos: the University of Pennsylvania
Damien A. Fair: University of Minnesota
Ruben C. Gur: University of Pennsylvania
Raquel E. Gur: University of Pennsylvania
Hongming Li: the University of Pennsylvania
Michael P. Milham: Nathan S. Kline Institute for Psychiatric Research
Tyler M. Moore: University of Pennsylvania
Kristin Murtha: University of Pennsylvania
Linden Parkes: University of Pennsylvania
Sharon L. Thompson-Schill: University of Pennsylvania
Sheila Shanmugan: University of Pennsylvania
Russell T. Shinohara: University of Pennsylvania
Sarah M. Weinstein: University of Pennsylvania
Danielle S. Bassett: University of Pennsylvania
Yong Fan: the University of Pennsylvania
Theodore D. Satterthwaite: University of Pennsylvania

Nature Communications, 2022, vol. 13, issue 1, 1-15

Abstract: Abstract The brain is organized into networks at multiple resolutions, or scales, yet studies of functional network development typically focus on a single scale. Here, we derive personalized functional networks across 29 scales in a large sample of youths (n = 693, ages 8–23 years) to identify multi-scale patterns of network re-organization related to neurocognitive development. We found that developmental shifts in inter-network coupling reflect and strengthen a functional hierarchy of cortical organization. Furthermore, we observed that scale-dependent effects were present in lower-order, unimodal networks, but not higher-order, transmodal networks. Finally, we found that network maturation had clear behavioral relevance: the development of coupling in unimodal and transmodal networks are dissociably related to the emergence of executive function. These results suggest that the development of functional brain networks align with and refine a hierarchy linked to cognition.

Date: 2022
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DOI: 10.1038/s41467-022-30244-4

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