Functional brain network reconfiguration during learning in a dynamic environment

Chang-Hao Kao (), Ankit N. Khambhati, Danielle S. Bassett, Matthew R. Nassar, Joseph T. McGuire, Joshua I. Gold and Joseph W. Kable ()
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Chang-Hao Kao: University of Pennsylvania
Ankit N. Khambhati: University of California
Danielle S. Bassett: University of Pennsylvania
Matthew R. Nassar: Brown University
Joseph T. McGuire: Boston University
Joshua I. Gold: University of Pennsylvania
Joseph W. Kable: University of Pennsylvania

Nature Communications, 2020, vol. 11, issue 1, 1-13

Abstract: 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.

Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-15442-2

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DOI: 10.1038/s41467-020-15442-2

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