Evidence map›Paper›PMID 38405986›Full record

ArticleResearch square2024

Deficits in proactive avoidance and neural responses to drinking motives in problem drinkers.

Thang Le, Takeyuki Oba, Luke Couch, Lauren McInerney, Chiang-Shan Li

Open access · greenAbstract readPreprint
In one paragraph

Article in Research square, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Thang LeYale University.ORCID 0000-0002-4196-8646
Takeyuki ObaYale University.
Luke CouchYale University.
Lauren McInerneyYale University.
Chiang-Shan LiYale University.ORCID 0000-0002-9393-1212
Yale University · US

Funding

Noradrenergic mechanisms of alcohol's impact on the development of MCI and early stage ADR01AG072893 · NIA · YALE UNIVERSITY · PI LI, CHIANG-SHAN RAY · 2020 to 2024
$1.8M
Avoidance learning and pain circuit dysfunction in alcohol use disordersK99AA029716 · NIAAA · YALE UNIVERSITY · PI LE, THANG MANH · 2022 to 2023
$262k
NIAAA NIH HHS K99 AA029716NIA NIH HHS R01 AG072893
6 · The paper itself

Abstract

Physical pain and negative emotions represent two distinct drinking motives that contribute to harmful alcohol use. Proactive avoidance which can reduce problem drinking in response to these motives appears to be impaired in problem drinkers. However, proactive avoidance and its underlying neural deficits have not been assessed experimentally. How these deficits inter-relate with drinking motives to influence alcohol use also remains unclear. The current study leveraged neuroimaging data collected in forty-one problem and forty-one social drinkers who performed a probabilistic learning go/nogo task that involved proactive avoidance of painful outcomes. We characterized the regional brain responses to proactive avoidance and identified the neural correlates of drinking to avoid physical pain and negative emotions. Behavioral results confirmed problem drinkers' proactive avoidance deficits in learning rate and performance accuracy, both which were associated with greater alcohol use. Imaging findings in problem drinkers showed that negative emotions as a drinking motive predicted attenuated right insula activation during proactive avoidance. In contrast, physical pain motive predicted reduced right putamen response. These regions' activations as well as functional connectivity with the somatomotor cortex also demonstrated a negative relationship with drinking severity and positive relationship with proactive avoidance performance. Path modeling further delineated the pathways through which physical pain and negative emotions, along with alcohol use severity, influenced the neural and behavioral measures of proactive avoidance. Taken together, the current findings provide experimental evidence for proactive avoidance deficits in problem drinkers and establish the link between their neural underpinnings and alcohol misuse.

Identifiers

PMID38405986
PMCPMC10889056
OpenAlexW4391676120

What OpenQuestion holds

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LicenceCC BY
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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.