Evidence map›Paper›PMID 28993741›Full record

ArticleFrontiers in psychiatry2017

Executive Control and Striatal Resting-State Network Interact with Risk Factors to Influence Treatment Outcomes in Alcohol-Use Disorder.

Milky Kohno, Laura E Dennis, Holly McCready, William F Hoffman

Abstract read
In one paragraph

Article in Frontiers in psychiatry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
–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

29 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  5. Trial
  6. Review
  7. Article
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  9. Article
  10. Machine Learning of Functional Connectivity to Biotype Alcohol and Nicotine Use Disorders.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2024
    Article
  11. Article
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  18. Brain Network Allostasis after Chronic Alcohol Drinking Is Characterized by Functional Dedifferentiation and Narrowing.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022
    Article
  19. Neuroimaging in alcohol use disorder: From mouse to man.Journal of neuroscience research · 2022
    Review
  20. Article
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.

Milky KohnoDepartment of Psychiatry, Oregon Health & Science University, Portland, OR, United States.
Laura E DennisDepartment of Psychiatry, Oregon Health & Science University, Portland, OR, United States.
Holly McCreadyDepartment of Psychiatry, Oregon Health & Science University, Portland, OR, United States.
William F HoffmanDepartment of Psychiatry, Oregon Health & Science University, Portland, OR, United States.

Funding

Traditional Service Core [Translational Service Core (TSC)]P50DA018165 · NIDA · OREGON HEALTH & SCIENCE UNIVERSITY · PI BELKNAP, JOHN K · 2006 to 2016
$13.0M
BIOLOGICAL BASES OF DRUG-SEEKING BEHAVIORT32DA007262 · NIDA · OREGON HEALTH & SCIENCE UNIVERSITY · PI WILLIAMS, JOHN T · 1991 to 2022
$9.4M
Neural Phenotypes of Impulsive Choice in Recovery from Alcohol DependenceR21AA020039 · NIAAA · OREGON HEALTH & SCIENCE UNIVERSITY · PI HOFFMAN, WILLIAM FRANKLIN · 2011 to 2012
$331k
CSRD VA I01 CX001558NIAAA NIH HHS R21 AA020039NIDA NIH HHS P50 DA018165NIDA NIH HHS T32 DA007262
6 · The paper itself

Abstract

Alterations within mesocorticolimbic terminal regions commonly occur with alcohol use disorder (AUD). As pathological drug-seeking behavior may arise as a consequence of alcohol-induced neuroadaptations, it is critical to understand how such changes increase the likelihood of relapse. This report examined resting-state functional connectivity (RSFC) using both a seed-based and model-free approach in individuals in treatment for AUD and how dysregulation of network connectivity contributes to treatment outcomes. In order to provide a mechanism by which neural networks promote relapse, interactive effects of mesocorticolimbic connectivity and AUD risk factors in treatment completers and non-completers were examined. AUD group showed stronger RSFC between striatum, insula, and anterior cingulate cortex than controls. Within the AUD group, non-completers compared to completers showed enhanced RSFC between (1) striatum-insula, (2) executive control network (ECN)-amygdala, and (3) basal ganglia/salience network and striatum, precuneus, and insula. Completers showed enhanced RSFC between striatum-right dorsolateral prefrontal cortex. Furthermore, completers and non-completers differed in relationships between RSFC and relapse risk factors, where non-completers exhibited positive associations between craving intensity and RSFC of striatum-insula and ECN-amygdala. These findings provide evidence for interactions between corticolimbic connectivity in AUD and craving and establish an important link between network connectivity and dynamic risk factors that contribute to relapse. Results demonstrate that relapse vulnerability is attributed to craving dysregulation manifested by enhanced connectivity in striato-limbic regions and diminished corticostriatal connectivity.

Indexed as

alcohol-use disordercravingmesocorticolimbicrelapseresting-state fMRItreatment

Identifiers

PMID28993741
PMCPMC5622290

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.