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Dissociable multi-scale patterns of development in personalized brain networks

Author

Listed:
  • Adam R. Pines

    (University of Pennsylvania
    University of Pennsylvania)

  • Bart Larsen

    (University of Pennsylvania
    University of Pennsylvania)

  • Zaixu Cui

    (University of Pennsylvania
    University of Pennsylvania
    Chinese Institute for Brain Research)

  • Valerie J. Sydnor

    (University of Pennsylvania
    University of Pennsylvania)

  • Maxwell A. Bertolero

    (University of Pennsylvania
    University of Pennsylvania)

  • Azeez Adebimpe

    (University of Pennsylvania
    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
    the University of Pennsylvania
    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
    Child Mind Institute)

  • Tyler M. Moore

    (University of Pennsylvania)

  • Kristin Murtha

    (University of Pennsylvania
    University of Pennsylvania)

  • Linden Parkes

    (University of Pennsylvania
    University of Pennsylvania
    University of Pennsylvania)

  • Sharon L. Thompson-Schill

    (University of Pennsylvania)

  • Sheila Shanmugan

    (University of Pennsylvania
    University of Pennsylvania)

  • Russell T. Shinohara

    (University of Pennsylvania)

  • Sarah M. Weinstein

    (University of Pennsylvania)

  • Danielle S. Bassett

    (University of Pennsylvania
    University of Pennsylvania
    University of Pennsylvania
    University of Pennsylvania)

  • Yong Fan

    (the University of Pennsylvania)

  • Theodore D. Satterthwaite

    (University of Pennsylvania
    University of Pennsylvania)

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.

Suggested Citation

  • 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 & H, 2022. "Dissociable multi-scale patterns of development in personalized brain networks," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
  • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-30244-4
    DOI: 10.1038/s41467-022-30244-4
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    References listed on IDEAS

    as
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    Cited by:

    1. 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 &, 2023. "Personalized functional brain network topography is associated with individual differences in youth cognition," Nature Communications, Nature, vol. 14(1), pages 1-14, December.

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