Evidence map›Paper›PMID 36326239›Full record

ArticleeLife2022

Mesoscale cortex-wide neural dynamics predict self-initiated actions in mice several seconds prior to movement.

Catalin Mitelut, Yongxu Zhang, Yuki Sekino, Jamie D Boyd, Federico Bollanos, Nicholas V Swindale, Greg Silasi, Shreya Saxena, Timothy H Murphy

Abstract read
In one paragraph

Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Behavioral Classification of Sequential Neural Activity Using Time Varying Recurrent Neural Networks.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
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

9 authors.

Catalin MitelutDepartment of Psychiatry, Kinsmen Laboratory of Neurological Research, University of British Columbia, Vancouver, Canada.ORCID 0000-0003-0471-9816
Yongxu ZhangDepartment of Engineering, University of Florida, Gainesville, United States.
Yuki SekinoDepartment of Psychiatry, Kinsmen Laboratory of Neurological Research, University of British Columbia, Vancouver, Canada.ORCID 0000-0003-2038-274X
Jamie D BoydDepartment of Psychiatry, Kinsmen Laboratory of Neurological Research, University of British Columbia, Vancouver, Canada.
Federico BollanosDepartment of Psychiatry, Kinsmen Laboratory of Neurological Research, University of British Columbia, Vancouver, Canada.
Nicholas V SwindaleDepartment of Ophthalmology and Visual Sciences, University of British Columbia, Vancouver, Canada.ORCID 0000-0002-7106-5114
Greg SilasiDepartment of Cellular and Molecular Medicine, University of Ottawa, Ottawa, Canada.
Shreya Saxena *Department of Engineering, University of Florida, Gainesville, United States.
Timothy H Murphy *Department of Psychiatry, Kinsmen Laboratory of Neurological Research, University of British Columbia, Vancouver, Canada.ORCID 0000-0002-0093-4490

Funding

CIHR FDN-143209CIHR MOP-12675CIHR MOP-15360
6 · The paper itself

Abstract

Volition - the sense of control or agency over one's voluntary actions - is widely recognized as the basis of both human subjective experience and natural behavior in nonhuman animals. Several human studies have found peaks in neural activity preceding voluntary actions, for example the readiness potential (RP), and some have shown upcoming actions could be decoded even before awareness. Others propose that random processes underlie and explain pre-movement neural activity. Here, we seek to address these issues by evaluating whether pre-movement neural activity in mice contains structure beyond that present in random neural activity. Implementing a self-initiated water-rewarded lever-pull paradigm in mice while recording widefield [Ca++] neural activity we find that cortical activity changes in variance seconds prior to movement and that upcoming lever pulls could be predicted between 3 and 5 s (or more in some cases) prior to movement. We found inhibition of motor cortex starting at approximately 5 s prior to lever pulls and activation of motor cortex starting at approximately 2 s prior to a random unrewarded left limb movement. We show that mice, like humans, are biased toward commencing self-initiated actions during specific phases of neural activity but that the pre-movement neural code changes over time in some mice and is widely distributed as behavior prediction improved when using all vs. single cortical areas. These findings support the presence of structured multi-second neural dynamics preceding self-initiated action beyond that expected from random processes. Our results also suggest that neural mechanisms underlying self-initiated action could be preserved between mice and humans.

Indexed as

Motor CortexMovementAnimalsHumansMicePsychomotor PerformanceVolitionbehavior predictioncomputational biologyfree willmouseneuroscienceself-initiated behaviorsystems biologyvolitionvolition neurosciencevoluntary behavior

Identifiers

PMID36326239
PMCPMC9671502

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Registered trials

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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.