Evidence map›Paper›PMID 42320767›Full record

ArticleAlcohol (Fayetteville, N.Y.)2026

Regulation of amygdala and dopamine system in naïve and chronic alcohol states.

Michel Mizuki Kameda-Henry, Colby M Kinser, Christopher Lapish, Alexey Kuznetsov

Abstract read
In one paragraph

Article in Alcohol (Fayetteville, N.Y.), 2026. 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

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

4 authors.

Michel Mizuki Kameda-HenryPennsylvania State University, Current: Humanities and Social Sciences, Caltech, United States.
Colby M KinserCentre College, United States.
Christopher LapishDepartment of Anatomy, Cell Biology, and Physiology, Indiana University School of Medicine, United States.
Alexey KuznetsovDepartment of Mathematical Sciences, School of Science, Indiana University Indianapolis, United States. Electronic address: askuznet@iu.edu.

Funding

CORE 1/2: INIA Stress and Chronic Alcohol Interactions: Computational and Statistical Analysis Core (CSAC)U24AA029970 · NIAAA · INDIANA UNIVERSITY INDIANAPOLIS · PI Christopher Court Lapish · 2022 to 2026
$2.4M
NIAAA NIH HHS U24 AA029970
6 · The paper itself

Abstract

Chronic alcohol use disorder (AUD) is associated with a transition from reward-driven to negative affect-driven alcohol seeking. However, the circuit-level mechanisms linking motivational, affective, and stress systems remain unclear. We develop a reduced computational model that integrates the basolateral amygdala (BLA), bed nucleus of the stria terminalis (BNST), and ventral tegmental area (VTA) into a closed feedback loop to examine how chronic alcohol exposure reshapes circuit dynamics. The model includes antagonistic BLA reward- and aversion-encoding populations, CRF-positive and CRF-negative BNST interneurons and projection neurons, and VTA GABA and dopamine (DA) neurons. Simulated DA modulation of recurrent inhibition in the BLA completes the feedback loop, with core behaviors governed by BLA competition, BNST-mediated control of DA levels, and DA-modulated BLA inhibition. Parameter changes mimicking chronic alcohol exposure are constrained by experimental data and implemented as alterations in BLA→BNST connectivity, BNST excitability, and paraventricular thalamus inputs. Simulations show that these adaptations (i) shift the system from a moderately high, "safe" reward/anxiolytic state to a hypodopaminergic, anxiety-prone state with reduced BNST CRF

Indexed as

Basolateral Nuclear ComplexDopamineVentral Tegmental AreaAlcoholismAmygdalaAnimalsHumansDopamine

Identifiers

PMID42320767
PMCPMC13523795

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.