Evidence map›Paper›PMID 40602403›Full record

ArticleNeuron2025

Spontaneous movements and their relationship to neural activity fluctuate with latent engagement states.

Chaoqun Yin, Maxwell D Melin, Gabriel Rojas-Bowe, Xiaonan Richard Sun, João Couto, Steven Gluf, Alex Kostiuk, Simon Musall, Anne K Churchland

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Neuron, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–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

13 citing papers in PubMed.

  1. Article
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  7. Review
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  12. Parietal cortex is causally required for state-dependent decisions.bioRxiv : the preprint server for biology · 2025
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Chaoqun YinUCLA Neuroscience Interdepartmental Program, Los Angeles, CA 90095, USA; Department of Neurobiology, University of California, Los Angeles, Los Angeles, CA 90095, USA.
Maxwell D MelinUCLA Neuroscience Interdepartmental Program, Los Angeles, CA 90095, USA; Department of Neurobiology, University of California, Los Angeles, Los Angeles, CA 90095, USA; UCLA-Caltech Medical Scientist Training Program, Los Angeles, CA 90095, USA.
Gabriel Rojas-BoweUCLA Neuroscience Interdepartmental Program, Los Angeles, CA 90095, USA; Department of Neurobiology, University of California, Los Angeles, Los Angeles, CA 90095, USA.
Xiaonan Richard SunSection of Neurosurgery, Dartmouth-Hitchcock Medical Center, Lebanon, NH 03756, USA.
João CoutoDepartment of Neurobiology, University of California, Los Angeles, Los Angeles, CA 90095, USA.
Steven GlufCold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA.
Alex KostiukUCLA Neuroscience Interdepartmental Program, Los Angeles, CA 90095, USA; Department of Neurobiology, University of California, Los Angeles, Los Angeles, CA 90095, USA; UCLA-Caltech Medical Scientist Training Program, Los Angeles, CA 90095, USA.
Simon MusallInstitute of Biological Information Processing (IBI-3), Forschungszentrum Jülich, 52428 Jülich, Germany; Department of Systems Neurophysiology, Institute for Zoology, RWTH Aachen University, 52074 Aachen, Germany; Faculty of Medicine, Institute of Experimental Epileptology and Cognition Research, University of Bonn, 53127 Bonn, Germany.
Anne K ChurchlandDepartment of Neurobiology, University of California, Los Angeles, Los Angeles, CA 90095, USA. Electronic address: achurchland@mednet.ucla.edu.

Funding

State-dependent Decision-making in Brainwide Neural CircuitsU19NS123716 · NINDS · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI PANINSKI, LIAM M · 2021 to 2025
$18.2M
The role of parietal cortex in multisensory decision-makingR01EY022979 · NEI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ANNE KATHRYN CHURCHLAND · 2013 to 2026
$5.7M
UCLA-Caltech Medical Scientist Training ProgramT32GM152342 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Olujimi A Ajijola, David Wayne Dawson · 2024 to 2026
$5.3M
NEI NIH HHS R01 EY022979NIGMS NIH HHS T32 GM152342NINDS NIH HHS U19 NS123716
6 · The paper itself

Abstract

Switching between cognitive states is a natural tendency, even for trained experts. To test how cognitive states impact neural activity and behavior, we measured cortex-wide neural activity during decision-making in mice. During disengagement, neural activity was more variable across trials and could be better explained by a linear encoding model. This increase in explained variance during disengagement was associated with two changes: modestly stronger neural encoding of movements generally and an increase in task-independent movements specifically. Surprisingly, behavioral videos showed similar motion energy in both cognitive states. But while the overall amount of movements remained similar, movement alignment changed: as animals slipped into disengagement, their movements became less stereotyped. These idiosyncratic movements were a strong predictor of task performance and engagement. Taken together, our results suggest that the temporal structure of movement patterns constitutes an embodied signature of the cognitive state with a profound relationship to neural activity.

Indexed as

CognitionDecision MakingNeuronsAnimalsMaleMiceMice, Inbred C57BLMovementPsychomotor Performancebehavioral statescortexdecision-makingimagingmovementneural encoding model

Identifiers

PMID40602403
PMCPMC12306580

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.