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

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Title
Large-scale neural dynamics in a shared low-dimensional state space reflect cognitive and attentional dynamics
Author(s)
Song, Hayoung; Won Mok Shim; Rosenberg, Monica D.
Publication Date
2023-07
Journal
ELIFE, v.12
Publisher
eLIFE SCIENCES PUBL LTD
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.
URI
https://pr.ibs.re.kr/handle/8788114/14144
DOI
10.7554/eLife.85487
ISSN
2050-084X
Appears in Collections:
Center for Neuroscience Imaging Research (뇌과학 이미징 연구단) > 1. Journal Papers (저널논문)
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