Evidence map›Paper›PMID 37395724›Full record

ArticleeLife2023

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

Hayoung Song, Won Mok Shim, Monica D Rosenberg

Abstract read
In one paragraph

Article in eLife, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

39 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Sharp and smooth state transitions during resting state brain dynamics.bioRxiv : the preprint server for biology · 2026
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  10. Cognition emerges from phase dynamics of intrinsic coordination.bioRxiv : the preprint server for biology · 2026
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  20. Spacetime concordance in the primate cortex.bioRxiv : the preprint server for biology · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Hayoung SongDepartment of Psychology, University of Chicago, Chicago, United States.ORCID 0000-0002-5970-8076
Won Mok Shim *Department of Biomedical Engineering, Sungkyunkwan University, Suwon, Republic of Korea.
Monica D Rosenberg *Department of Psychology, University of Chicago, Chicago, United States.ORCID 0000-0001-6179-4025

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

BrainBrain MappingAttentionCognitionHumansMagnetic Resonance ImagingNeural Pathwaysattentionbrain statesdynamical systemsevent boundariesfunctional networkshumanneuroscience

Identifiers

PMID37395724
PMCPMC10400080

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.