Evidence map›Paper›PMID 34671808›Full record

ArticleCerebral cortex (New York, N.Y. : 1991)2022

Resting Hypoconnectivity of Theoretically Defined Addiction Networks during Early Abstinence Predicts Subsequent Relapse in Alcohol Use Disorder.

J Camchong, A F Haynos, T Hendrickson, M B Fiecas, C S Gilmore, B A Mueller, M G Kushner, K O Lim

Open access · greenAbstract read
In one paragraph

Article in Cerebral cortex (New York, N.Y. : 1991), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 21% of its field
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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Relapse in alcohol dependence is characterized by disrupted modular brain network organization.European archives of psychiatry and clinical neuroscience · 2026
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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

8 authors at 2 institutions in 2 countries.

J CamchongDepartment of Psychiatry and Behavioral Sciences, University of Minnesota, MN 55454, USA.ORCID 0000-0001-8658-5780
A F HaynosDepartment of Psychiatry and Behavioral Sciences, University of Minnesota, MN 55454, USA.
T HendricksonUniversity of Minnesota Informatics Institute, University of Minnesota, Minneapolis, MN 55455, USA.
M B FiecasDivision of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, MN 55455, USA.
C S GilmoreGeriatric Research, Education, and Clinical Center (GRECC), Minneapolis VA Health Care System, Minneapolis, MN 55417, USA.
B A MuellerDepartment of Psychiatry and Behavioral Sciences, University of Minnesota, MN 55454, USA.
M G KushnerDepartment of Psychiatry and Behavioral Sciences, University of Minnesota, MN 55454, USA.
K O LimDepartment of Psychiatry and Behavioral Sciences, University of Minnesota, MN 55454, USA.
University of Minnesota · USGeriatric Research Education and Clinical Center · US

Funding

University of Minnesota Clinical and Translational Science Institute (UMN CTSI)UL1TR002494 · NCATS · UNIVERSITY OF MINNESOTA · PI BLAZAR, BRUCE R, WEISDORF, DANIEL J · 2018 to 2022
$34.9M
TRD4 - Ultrahigh Field Engineering and SafetyP41EB027061 · NIBIB · UNIVERSITY OF MINNESOTA · PI Mehmet Akcakaya · 2019 to 2026
$11.7M
Institutional Center Cores for Advanced NeuroimagingP30NS076408 · NINDS · UNIVERSITY OF MINNESOTA · PI UGURBIL, KAMIL · 2012 to 2020
$4.2M
Increased thalamocortical connectivity in tdcs-potentiated generalization of cognitive trainingRF1MH116987 · NIMH · UNIVERSITY OF MINNESOTA · PI LIM, KELVIN O., MACDONALD, ANGUS W · 2018 to 2018
$2.8M
Functional Connectivity Changes During Early Recovery as a Marker for RelapseR01DA038984 · NIDA · UNIVERSITY OF MINNESOTA · PI LIM, KELVIN O. · 2015 to 2019
$2.6M
Validating an Autonomous Interactive Internet-Based Delivery of an Empirically Supported Cognitive Behavioral Therapy for ComorbidityR01AA029077 · NIAAA · UNIVERSITY OF MINNESOTA · PI KUSHNER, MATT G · 2021 to 2025
$2.2M
Neural Correlates of Reward and Symptom Expression in Anorexia NervosaK23MH112867 · NIMH · UNIVERSITY OF MINNESOTA · PI HAYNOS, ANN FRANCES · 2017 to 2021
$878k
Effects of Neuromodulation and Cognitive Training on Brain Networks Associated with Relapse in Alcohol Use DisorderK01AA026349 · NIAAA · UNIVERSITY OF MINNESOTA · PI CAMCHONG, Y. JAZMIN · 2018 to 2022
$833k
Combined tDCS and Cognitive Training for the Treatment of Opioid AddictionUG3DA048508 · NIDA · UNIVERSITY OF MINNESOTA · PI LIM, KELVIN O. · 2019 to 2020
$741k
Adapting an Effective CBT for Comorbidity to a Computer-Delivered FormatR34AA025761 · NIAAA · UNIVERSITY OF MINNESOTA · PI KUSHNER, MATT G · 2017 to 2019
$690k
High Performance Connectome Upgrade for Human 3T MR ScannerS10OD017974 · OD · UNIVERSITY OF MINNESOTA · PI LIM, KELVIN O. · 2014 to 2014
$600k
NCATS NIH HHS UL1 TR002494NIAAA NIH HHS K01 AA026349NIAAA NIH HHS R01 AA029077NIAAA NIH HHS R34 AA025761NIBIB NIH HHS P41 EB027061NIDA NIH HHS R01 DA038984NIDA NIH HHS UG3 DA048508NIH HHS S10 OD017974NIMH NIH HHS K23 MH112867NIMH NIH HHS RF1 MH116987NINDS NIH HHS P30 NS076408
6 · The paper itself

Abstract

Theoretical models of addiction suggest that alterations in addiction domains including incentive salience, negative emotionality, and executive control lead to relapse in alcohol use disorder (AUD). To determine whether the functional organization of neural networks underlying these domains predict subsequent relapse, we generated theoretically defined addiction networks. We collected resting functional magnetic resonance imaging data from 45 individuals with AUD during early abstinence (number of days abstinent M = 25.40, SD = 16.51) and calculated the degree of resting-state functional connectivity (RSFC) within these networks. Regression analyses determined whether the RSFC strength in domain-defined addiction networks measured during early abstinence predicted subsequent relapse (dichotomous or continuous relapse metrics). RSFC within each addiction network measured during early abstinence was significantly lower in those that relapsed (vs. abstained) and predicted subsequent time to relapse. Lower incentive salience RSFC during early abstinence increased the odds of relapsing. Neither RSFC in a control network nor clinical self-report measures predicted relapse. The association between low incentive salience RSFC and faster relapse highlights the need to design timely interventions that enhance RSFC in AUD individuals at risk of relapsing faster.

Indexed as

AlcoholismBrainExecutive FunctionHumansMagnetic Resonance ImagingNeural PathwaysRecurrenceRestaddiction domainsincentive saliencerelapse predictionresting-state functional connectivitytime to relapse

Identifiers

PMID34671808
PMCPMC9393062
OpenAlexW3207268941

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.