Evidence map›Paper›PMID 38503769›Full record

ArticleNature communications2024

The influence of cortical activity on perception depends on behavioral state and sensory context.

Lloyd E Russell, Mehmet Fişek, Zidan Yang, Lynn Pei Tan, Adam M Packer, Henry W P Dalgleish, Selmaan N Chettih, Christopher D Harvey, Michael Häusser

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Spatiotemporal Divergence Between Intrinsic And Evoked Cortical Activity Predicts Visual Detection.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  5. Functional reorganization of motor cortex connectivity during learning.bioRxiv : the preprint server for biology · 2026
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Exact linear theory of perturbation response in a space- and feature-dependent cortical circuit model.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. 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

9 authors.

Lloyd E RussellWolfson Institute for Biomedical Research, University College London, London, UK.ORCID http://orcid.org/0000-0001-6332-756X
Mehmet FişekWolfson Institute for Biomedical Research, University College London, London, UK.
Zidan YangWolfson Institute for Biomedical Research, University College London, London, UK.
Lynn Pei TanWolfson Institute for Biomedical Research, University College London, London, UK.
Adam M PackerWolfson Institute for Biomedical Research, University College London, London, UK.ORCID http://orcid.org/0000-0001-5884-794X
Henry W P DalgleishWolfson Institute for Biomedical Research, University College London, London, UK.
Selmaan N ChettihDepartment of Neurobiology, Harvard Medical School, Boston, MA, USA.
Christopher D HarveyDepartment of Neurobiology, Harvard Medical School, Boston, MA, USA.
Michael HäusserWolfson Institute for Biomedical Research, University College London, London, UK. m.hausser@ucl.ac.uk.ORCID http://orcid.org/0000-0002-2673-8957

Funding

Toward mechanistic cognitive neuroscience: cell types, connectivity, and patterned perturbationsDP1MH125776 · NIMH · HARVARD MEDICAL SCHOOL · PI HARVEY, CHRISTOPHER D · 2020 to 2024
$5.9M
Parietal Cortex Networks for Sensorimotor Processing During NavigationR01NS089521 · NINDS · HARVARD MEDICAL SCHOOL · PI HARVEY, CHRISTOPHER D · 2015 to 2024
$4.5M
New approaches to understand neuronal microcircuit dynamics for working memoryR01MH107620 · NIMH · HARVARD MEDICAL SCHOOL · PI HARVEY, CHRISTOPHER D · 2015 to 2019
$2.8M
Medical Research Council MR/T022922/1NIMH NIH HHS DP1 MH125776NIMH NIH HHS R01 MH107620NINDS NIH HHS R01 NS089521Wellcome Trust 201225Wellcome Trust 224688
6 · The paper itself

Abstract

The mechanistic link between neural circuit activity and behavior remains unclear. While manipulating cortical activity can bias certain behaviors and elicit artificial percepts, some tasks can still be solved when cortex is silenced or removed. Here, mice were trained to perform a visual detection task during which we selectively targeted groups of visually responsive and co-tuned neurons in L2/3 of primary visual cortex (V1) for two-photon photostimulation. The influence of photostimulation was conditional on two key factors: the behavioral state of the animal and the contrast of the visual stimulus. The detection of low-contrast stimuli was enhanced by photostimulation, while the detection of high-contrast stimuli was suppressed, but crucially, only when mice were highly engaged in the task. When mice were less engaged, our manipulations of cortical activity had no effect on behavior. The behavioral changes were linked to specific changes in neuronal activity. The responses of non-photostimulated neurons in the local network were also conditional on two factors: their functional similarity to the photostimulated neurons and the contrast of the visual stimulus. Functionally similar neurons were increasingly suppressed by photostimulation with increasing visual stimulus contrast, correlating with the change in behavior. Our results show that the influence of cortical activity on perception is not fixed, but dynamically and contextually modulated by behavioral state, ongoing activity and the routing of information through specific circuits.

Indexed as

Visual CortexAnimalsMiceNeuronsPhotic StimulationVisual Perception

Identifiers

PMID38503769
PMCPMC10951313

What OpenQuestion holds

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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.