Large-scale neural dynamics in a shared low-dimensional state space reflect cognitive and attentional dynamics

Won Mok Shim; Monica D Rosenberg

doi:10.7554/elife.85487

journal article Open Access Jul 03, 2023

Large-scale neural dynamics in a shared low-dimensional state space reflect cognitive and attentional dynamics

Won Mok Shim Monica D Rosenberg

eLife Vol. 12 · eLife Sciences Publications, Ltd

View at Publisher Save 10.7554/elife.85487

Abstract

Cognition and attention arise from the adaptive coordination of neural systems in response to external and internal demands. The low-dimensional latent subspace that underlies large-scale neural dynamics and the relationships of these dynamics to cognitive and attentional states, however, are unknown. We conducted functional magnetic resonance imaging as human participants performed attention tasks, watched comedy sitcom episodes and an educational documentary, and rested. Whole-brain dynamics traversed a common set of latent states that spanned canonical gradients of functional brain organization, with global desynchronization among functional networks modulating state transitions. Neural state dynamics were synchronized across people during engaging movie watching and aligned to narrative event structures. Neural state dynamics reflected attention fluctuations such that different states indicated engaged attention in task and naturalistic contexts, whereas a common state indicated attention lapses in both contexts. Together, these results demonstrate that traversals along large-scale gradients of human brain organization reflect cognitive and attentional dynamics.

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Details

Published: Jul 03, 2023
Vol/Issue: 12
License: View

Authors

W

Won Mok Shim

Department of Biomedical Engineering, Sungkyunkwan University; Center for Neuroscience Imaging Research; Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University

M

Monica D Rosenberg

Department of Psychology, University of Chicago; Neuroscience Institute, University of Chicago

Funding

National Science Foundation Award: BCS-2043740

National Research Foundation of Korea Award: NRF-2019M3E5D2A01060299

Institute for Basic Science Award: R015-D1

Cite This Article

Won Mok Shim, Monica D Rosenberg (2023). Large-scale neural dynamics in a shared low-dimensional state space reflect cognitive and attentional dynamics. eLife, 12. https://doi.org/10.7554/elife.85487

Large-scale neural dynamics in a shared low-dimensional state space reflect cognitive and attentional dynamics

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