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Functional brain network reconfiguration during learning in a dynamic environment

Author

Listed:
  • Chang-Hao Kao

    (University of Pennsylvania)

  • Ankit N. Khambhati

    (University of California)

  • Danielle S. Bassett

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

  • Matthew R. Nassar

    (Brown University
    Brown University)

  • Joseph T. McGuire

    (Boston University)

  • Joshua I. Gold

    (University of Pennsylvania)

  • Joseph W. Kable

    (University of Pennsylvania)

Abstract

When learning about dynamic and uncertain environments, people should update their beliefs most strongly when new evidence is most informative, such as when the environment undergoes a surprising change or existing beliefs are highly uncertain. Here we show that modulations of surprise and uncertainty are encoded in a particular, temporally dynamic pattern of whole-brain functional connectivity, and this encoding is enhanced in individuals that adapt their learning dynamics more appropriately in response to these factors. The key feature of this whole-brain pattern of functional connectivity is stronger connectivity, or functional integration, between the fronto-parietal and other functional systems. Our results provide new insights regarding the association between dynamic adjustments in learning and dynamic, large-scale changes in functional connectivity across the brain.

Suggested Citation

  • Chang-Hao Kao & Ankit N. Khambhati & Danielle S. Bassett & Matthew R. Nassar & Joseph T. McGuire & Joshua I. Gold & Joseph W. Kable, 2020. "Functional brain network reconfiguration during learning in a dynamic environment," Nature Communications, Nature, vol. 11(1), pages 1-13, December.
    • Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-15442-2
    DOI: 10.1038/s41467-020-15442-2
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