Evidence map›Paper›PMID 41030557›Full record

ArticleBiological psychiatry global open science2025

Recruitment of Neuronal Populations in the Paraventricular Thalamus of Alcohol-Seeking Rats With Withdrawal-Related Learning Experience.

Hermina Nedelescu, Elias Meamari, Nami Rajaei, Alexus Grey, Ryan Bullard, Nathan O'Connor, Nobuyoshi Suto, Friedbert Weiss

Erratum issuedAbstract read
In one paragraph

Article in Biological psychiatry global open science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Hermina NedelescuDepartment of Neuroscience, The Scripps Research Institute, La Jolla, California.
Elias MeamariDepartment of Neuroscience, The Scripps Research Institute, La Jolla, California.
Nami RajaeiDepartment of Neuroscience, The Scripps Research Institute, La Jolla, California.
Alexus GreyDepartment of Neuroscience, The Scripps Research Institute, La Jolla, California.
Ryan BullardDepartment of Neuroscience, The Scripps Research Institute, La Jolla, California.
Nathan O'ConnorMBF Bioscience, Williston, Vermont.
Nobuyoshi SutoDepartment of Neuroscience, The Scripps Research Institute, La Jolla, California.
Friedbert WeissDepartment of Neuroscience, The Scripps Research Institute, La Jolla, California.

Funding

Neurpsychopharmacology-Multidisciplinary TrainingT32AA007456 · NIAAA · SCRIPPS RESEARCH INSTITUTE, THE · PI MARISA ROBERTO · 1985 to 2026
$13.4M
Extensive drug histories result in compulsive appetite: functional identification of punishment-reactive neural network re-organization in the rostromedial tegmental nucleusU01DA055017 · NIDA · SCRIPPS RESEARCH INSTITUTE, THE · PI Nobuyoshi Suto · 2022 to 2026
$2.4M
Relapse-suppressing brain mechanisms in alcoholism: role of the mPFCR01AA023183 · NIAAA · SCRIPPS RESEARCH INSTITUTE, THE · PI SUTO, NOBUYOSHI · 2015 to 2019
$2.1M
The dark side of addiction: Significance of environmental conditioning to negative reinforcement by EtOH in subjects with a dependence historyR01AA027555 · NIAAA · SCRIPPS RESEARCH INSTITUTE, THE · PI WEISS, FRIEDBERT · 2020 to 2024
$2.0M
Control of opioid-motivated approach and avoidance behavior by neuronal ensembles in the basolateral amygdala and their projection targets in the nucleus accumbensK01DA054449 · NIDA · SCRIPPS RESEARCH INSTITUTE, THE · PI Hermina Nedelescu · 2022 to 2026
$908k
Neural activity-based candidate gene identification to link eating disorders and drug addictionUG3DA055167 · NIDA · SCRIPPS RESEARCH INSTITUTE, THE · PI SUTO, NOBUYOSHI · 2023 to 2024
$473k
Transcriptional adaptations driving the intensification of alcohol-seeking in dependent rats undergoing prolonged abstinenceR21AA030184 · NIAAA · SCRIPPS RESEARCH INSTITUTE, THE · PI SANNA, PIETRO P, SUTO, NOBUYOSHI · 2022 to 2023
$470k
NIAAA NIH HHS R01 AA023183NIAAA NIH HHS R01 AA027555NIAAA NIH HHS R21 AA030184NIAAA NIH HHS T32 AA007456NIDA NIH HHS K01 DA054449NIDA NIH HHS U01 DA055017NIDA NIH HHS UG3 DA055167
6 · The paper itself

Abstract

Background: Stimulus-reactive neuronal populations are groups of neurons that become activated by environmental stimuli. These sparsely activated neuronal assemblies are implicated in encoding associations between environmental contexts and subjectively rewarding or aversive experiences that regulate behavior. How positive or negative hedonic states are represented in brain neurocircuits is a fundamental question relevant for understanding the processing of emotionally meaningful stimuli that drive appropriate versus maladaptive behavior. It is well known that animals avoid noxious stimuli and experiences. However, little is known about how the conditioning of environmental stimuli to behavior that leads to amelioration of dysphoric states establishes powerful associations that lead to compulsive maladaptive behavior. Methods: Here, we sought to identify stimulus-reactive neurons that may mediate the conditioned effects of environmental stimuli associated with the reversal of dysphoric alcohol withdrawal states using a dependent withdrawal-related learning (WDL) experimental condition (DEP-WDL) ( Results: The results document a role for clusters of neurons in the paraventricular nucleus of the thalamus ( Conclusions: These findings suggest that associations between reversal of negative hedonic states and environmental contexts are encoded in distinct neuronal populations that may serve as a neural substrate of compulsive alcohol seeking and vulnerability to relapse associated with reward dysregulation and hedonic allostasis.

Indexed as

Alcoholc-Fos-positive neuronsLearningNegative reinforcementPositive reinforcementReward dysregulation

Identifiers

PMID41030557
PMCPMC12478233

What OpenQuestion holds

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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.