Evidence map›Paper›PMID 39975102›Full record

ArticlebioRxiv : the preprint server for biology2025

Prey capture learning drives critical period-specific plasticity in mouse binocular visual cortex.

Diane Bissen, Brian A Cary, Amanda Zhang, Kurt A Sailor, Stephen D Van Hooser, Gina G Turrigiano

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Diane BissenDepartment of Biology, Brandeis University, Waltham, MA 02453, USA.ORCID 0000-0002-1682-5424
Brian A CaryDepartment of Biology, Brandeis University, Waltham, MA 02453, USA.ORCID 0000-0002-1759-164X
Amanda ZhangDepartment of Biology, Brandeis University, Waltham, MA 02453, USA.
Kurt A SailorInstitut Pasteur, CNRS UMR 3571, Perception and Action Unit, F-75015, Paris, France.ORCID 0000-0002-9574-6838
Stephen D Van HooserDepartment of Biology, Brandeis University, Waltham, MA 02453, USA.ORCID 0000-0002-1112-5832
Gina G TurrigianoDepartment of Biology, Brandeis University, Waltham, MA 02453, USA.ORCID 0000-0002-4476-4059

Funding

Gating of Firing Rate Homeostasis by Sleep and Wake States During Experience-Dependent PlasticityR01EY025613 · NEI · BRANDEIS UNIVERSITY · PI TURRIGIANO, GINA G · 2017 to 2025
$3.9M
NEI NIH HHS R01 EY025613
6 · The paper itself

Abstract

Critical periods are developmental windows of high experience-dependent plasticity essential for the correct refinement of neuronal circuitry and function. While the consequences for the visual system of sensory deprivation during the critical period have been well-characterized, far less is known about the effects of enhanced sensory experience. Here, we use prey capture learning to assess structural and functional plasticity mediating visual learning in the primary visual cortex of critical period mice. We show that prey capture learning improves temporal frequency discrimination and drives a profound remodeling of visual circuitry through an increase in excitatory connectivity and spine turnover. This global and persistent rewiring is not observed in adult hunters and is mediated by TNFα-dependent mechanisms. Our findings demonstrate that enhanced visual experience in a naturalistic paradigm during the critical period can drive structural plasticity to improve visual function, and promotes a long-lasting increase in spine dynamics that could enhance subsequent plasticity.

Indexed as

critical perioddendritic spinehomeostatic plasticityPrey capture learningstructural plasticitytemporal frequency tuningTNFαvisual cortex

Identifiers

PMID39975102
PMCPMC11838381

What OpenQuestion holds

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LicenceCC BY-NC
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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.