Evidence map›Paper›PMID 41932880›Full record

ArticleNature communications2026

Generalization of fear learning is shaped by inhibitory sensory processing in mice.

Alper K Bakir, Ankur A Gaikwad, Natalia Efimova, Katharina L L Clark, Michelle C Rosenthal, John P McGann

Abstract read
In one paragraph

Article in Nature communications, 2026. 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

6 authors.

Alper K BakirBehavioral and Systems Neuroscience, Psychology Department, Rutgers, The State University of New Jersey, Piscataway, NJ, US. alperkaganbakir@gmail.com.ORCID http://orcid.org/0009-0004-7403-0875
Ankur A GaikwadBehavioral and Systems Neuroscience, Psychology Department, Rutgers, The State University of New Jersey, Piscataway, NJ, US.ORCID http://orcid.org/0009-0003-0679-7209
Natalia EfimovaBehavioral and Systems Neuroscience, Psychology Department, Rutgers, The State University of New Jersey, Piscataway, NJ, US.
Katharina L L ClarkBehavioral and Systems Neuroscience, Psychology Department, Rutgers, The State University of New Jersey, Piscataway, NJ, US.
Michelle C RosenthalBehavioral and Systems Neuroscience, Psychology Department, Rutgers, The State University of New Jersey, Piscataway, NJ, US.
John P McGannBehavioral and Systems Neuroscience, Psychology Department, Rutgers, The State University of New Jersey, Piscataway, NJ, US. john.mcgann@rutgers.edu.ORCID http://orcid.org/0000-0003-2233-7504

Funding

How Fear Learning Alters Sensory Representations of Threat Predictive StimuliR01MH101293 · NIMH · RUTGERS, THE STATE UNIV OF N.J. · PI MCGANN, JOHN P · 2013 to 2023
$4.5M
U.S. Department of Health & Human Services | National Institutes of Health (NIH) R01MH101293
6 · The paper itself

Abstract

When an organism learns that a sensory stimulus predicts a threat, the brain's neural representation of the stimulus somehow incorporates that information into early sensory processing. That altered sensory processing may causally shape the organism's response to the stimulus. We used contextual fear conditioning in mice to induce odor avoidance that generalized across odors in proportion to their similarity to the conditioning odor. Visualization of odor representations in vivo revealed they were being reshaped by reductions in GABA

Indexed as

FearGeneralization, PsychologicalLearningAnimalsAvoidance LearningConditioning, ClassicalMaleMiceMice, Inbred C57BLOdorantsOlfactory BulbReceptors, GABA-BReceptors, GABA-B

Identifiers

PMID41932880
PMCPMC13223235

What OpenQuestion holds

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Read underepoch 390

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.