Evidence map›Paper›PMID 40209474›Full record

ReviewCurrent opinion in neurobiology2025

The visual evoked potential is a sensitive and powerful measure of experience-dependent visual cortical plasticity in mice.

Jeffrey P Gavornik, Mark F Bear

Abstract readReview
In one paragraph

Review in Current opinion in neurobiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Global context rapidly shapes sensory responses in V1.bioRxiv : the preprint server for biology · 2026
    Article
  5. Article
  6. Article
  7. Experience-Dependent Plasticity to Visual Sequences in Mouse Anterior Cingulate Cortex Reflects Familiarity.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  8. 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

2 authors.

Jeffrey P GavornikCenter for Systems Neuroscience, Department of Biology, Boston University, Boston, MA 02215, USA. Electronic address: gavornik@bu.edu.
Mark F BearPicower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA. Electronic address: mbear@mit.edu.

Funding

Behavioral Consequences and cellular substrates of plasticity in visual cortexR01EY023037 · NEI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI BEAR, MARK F · 2013 to 2025
$6.0M
NEI NIH HHS R01 EY023037
6 · The paper itself

Abstract

Despite the explosion of high-tech methods to measure activity in the mouse visual cortex, the venerable visually evoked potential (VEP) continues to prove its worth as a sensitive measure of experience-dependent cortical plasticity. The VEP recorded in layer 4 is a good estimate of the strength of feedforward synaptic excitation, and changes in amplitude correspond closely to changes in the peak firing rate of principal cells. Chronic recording of VEPs in awake mice have enabled longitudinal study of modifications induced by selective visual experience or deprivation, and these have revealed several novel forms of plasticity. The VEP provides a good estimate of spatial acuity that compares well with values obtained by behavioral approaches. Furthermore, recordings of the local field potential through the same electrodes reveal changes in oscillatory activity that reflect differential recruitment of inhibitory networks. Thus, the VEP remains a powerful tool for the study of visual cortical plasticity.

Indexed as

Evoked Potentials, VisualNeuronal PlasticityVisual CortexAnimalsMice

Identifiers

PMID40209474
PMCPMC13191359

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.