Evidence map›Paper›PMID 42048752›Full record

ArticleBiochemical and biophysical research communications2026

Signaling of salience and prediction errors by anterior insula neurons.

Luisa Fernanda Gomez-Alatorre, Alon Amir, Mohamed Badawy, Ashriya Karki, Denis Pare

Abstract read
In one paragraph

Article in Biochemical and biophysical research 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

5 authors.

Luisa Fernanda Gomez-AlatorreCenter for Molecular and Behavioral Neuroscience, Rutgers University, Newark, NJ, 07102, United States.
Alon AmirCenter for Molecular and Behavioral Neuroscience, Rutgers University, Newark, NJ, 07102, United States.
Mohamed BadawyCenter for Molecular and Behavioral Neuroscience, Rutgers University, Newark, NJ, 07102, United States.
Ashriya KarkiCenter for Molecular and Behavioral Neuroscience, Rutgers University, Newark, NJ, 07102, United States.
Denis PareCenter for Molecular and Behavioral Neuroscience, Rutgers University, Newark, NJ, 07102, United States. Electronic address: pare@rutgers.edu.

Funding

SIGNALING OF SALIENCE AND PREDICTION ERRORS BY THE INSULAR01MH130331 · NIMH · RUTGERS THE STATE UNIV OF NJ NEWARK · PI DENIS PARE · 2023 to 2026
$1.6M
NIMH NIH HHS R01 MH130331
6 · The paper itself

Abstract

Human fMRI studies suggest that the anterior insula (AIC) encodes salience and deviations from expectations. However, BOLD signals have insufficient resolution to determine how AIC cells encode these variables. To study this question, rats were presented with auditory stimuli that varied from rewarding to aversive, instilling expectations that were later confirmed or challenged. Most AIC neurons showed significant task-related activity, either in the form of motor correlates, responses to appetitive or noxious sounds, in anticipation of reward delivery, or a combination of these factors. There was extensive overlap between neurons excited by the noxious and appetitive stimuli. Yet, stimuli with the highest positive and negative valence excited more AIC neurons than stimuli with intermediate valence, consistent with the signaling of salience. Strikingly, the responses of AIC cells to stimuli that confirmed reward expectations decreased whereas responses to stimuli that challenged reward expectations increased, akin to an unsigned prediction error signal.

Indexed as

Insular CortexNeuronsAcoustic StimulationAnimalsMaleRatsRewardInsulaPrediction errorReinforcement learningRewardSalienceSatietyValence

Identifiers

PMID42048752
PMCPMC13501095

What OpenQuestion holds

Textmetadata
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.