Evidence map›Paper›PMID 39399042›Full record

ArticlemedRxiv : the preprint server for health sciences2024

The Neural Correlates of Alcohol Approach Bias - New Insights from a Whole-Brain Network Analysis Perspective.

Angela M Muller, Victoria Manning, Christy Y F Wong, David L Pennington

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2024. 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.

Angela M MullerUniversity of California San Francisco, Department of Psychiatry, San Francisco, California, USA.
Victoria ManningMonash Addiction Research Centre, Eastern Health Clinical School, Monash University, Clayton, Australia.
Christy Y F WongUniversity of California San Francisco, Department of Psychiatry, San Francisco, California, USA.
David L PenningtonUniversity of California San Francisco, Department of Psychiatry, San Francisco, California, USA.

Funding

Neuropsychobiology in Polysubstance Abusers during AbstinenceR01DA039903 · NIDA · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI PENNINGTON, DAVID L · 2016 to 2021
$2.8M
Neural Links of Approach Bias Modification in Heavy Drinking VeteransIK2CX001510 · VA · VETERANS AFFAIRS MED CTR SAN FRANCISCO · PI PENNINGTON, DAVID L · 2017 to 2022
–
CSRD VA IK2 CX001510NIDA NIH HHS R01 DA039903
6 · The paper itself

Abstract

Alcohol approach bias, a tendency to approach rather than to avoid alcohol and alcohol-related cues regardless of associated negative consequences, is an emerging key characteristic of alcohol use disorder (AUD). Reaction times from the Approach-Avoidance Task (AAT) can be used to quantify alcohol approach bias. However, only a handful of studies have investigated the neural correlates of implicit alcohol approach behavior. Graph Theory Analysis (GTA) metrics, specifically, weighted global efficiency (wGE), community detection, and inter-community information integration were used to analyze functional magnetic resonance imaging (fMRI) data of an in-scanner version of the AAT from 31 heavy drinking Veterans with AUD (HDV) engaged in out-patient treatment and 19 healthy Veterans as controls (HC). We found a functional imprint of alcohol approach bias in HDVs. HDVs showed significantly higher wGE values for approaching than for avoiding alcohol, indicating that their brain was more efficiently organized or functionally set to approach alcohol in the presence to alcohol-related external cues. In contrast, Brains of HCs did not show such a processing advantage for either the approach or avoid condition. Further post-hoc analyses revealed that HDVs and HCs differed in how they implemented top-down control when approaching/avoiding alcohol and in how the fronto-parietal control network interacted with subsystems of the default mode network. These findings contribute to understanding the complex neural underpinnings of alcohol approach bias and lay the foundation for developing more potent and targeted interventions to modify these neural patterns in AUD patients.

Indexed as

Approach biasautomatic behaviorcognitive effortcommunity structurenetworkparticipation coefficienttask fMRI

Identifiers

PMID39399042
PMCPMC11469381

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.