Evidence map›Paper›PMID 41289331›Full record

ArticlePLoS biology2025

Context-dependent activation of V1 parvalbumin interneurons enhances visual discrimination.

Lilia Kukovska, Katharina A Wilmes, Natsumi Y Homma, Claudia Clopath, Jasper Poort

Abstract read
In one paragraph

Article in PLoS biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Lilia KukovskaDepartment of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, United Kingdom.
Katharina A WilmesDepartment of Physiology, University of Bern, Bern, Switzerland.
Natsumi Y HommaDepartment of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, United Kingdom.
Claudia ClopathDepartment of Bioengineering, Imperial College, London, United Kingdom.
Jasper PoortDepartment of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, United Kingdom.ORCID 0000-0001-6306-4042

Funding

BBSRC 2279392UKRI Medical Research Council MC-PC-MR-X012271/1Wellcome Trust
6 · The paper itself

Abstract

Inhibition is critical for balanced cortical activity and learning. Parvalbumin-expressing cells (PV) are the most common cortical inhibitory interneurons. Strong PV activation inactivates cortical regions. However, the effect of moderate activation on vision and dependence on activation strength, timing, and task difficulty is not established. We investigated these three major factors during visual discriminations in mice. Moderate PV activation in the primary visual cortex (V1) improved easy but not difficult discriminations. It did so only during the initial 120 ms after stimulus onset, corresponding to the initial feedforward processing sweep. Both easy and difficult discriminations required undisturbed late phase activity beyond 120 ms, highlighting the importance of sustained V1 activity. Combined optogenetic activation and two-photon imaging showed that behavioral effects were associated with V1 response selectivity changes. A circuit model with nonlinear activation and strong competitive interactions between V1 cells captured the data. This demonstrates that early and sustained V1 activity is crucial for perceptual discrimination and delineates conditions when PV activation shapes neuronal selectivity to improve behavior.

Indexed as

Discrimination, PsychologicalInterneuronsParvalbuminsPrimary Visual CortexVisual CortexVisual PerceptionAnimalsMaleMiceMice, Inbred C57BLOptogeneticsPhotic StimulationParvalbumins

Identifiers

PMID41289331
PMCPMC12677792

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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.