Evidence map›Paper›PMID 26806776›Full record

ReviewProgress in brain research2016

Neuroscience of inhibition for addiction medicine: from prediction of initiation to prediction of relapse.

Scott J Moeller, Lucia Bederson, Nelly Alia-Klein, Rita Z Goldstein

Abstract readReview
In one paragraph

Review in Progress in brain research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 3 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

40 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Pooled it
  4. Trial
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  6. Modified cognitive behavioral therapy (M-CBT) for cocaine dependence: Development of treatment for cognitively impaired users and results from a Stage 1 trial.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2018
    Trial
  7. Functional neural changes following behavioral therapies and disulfiram for cocaine dependence.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2017
    Trial
  8. Article
  9. Article
  10. Article
  11. Article
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  13. Neuroimaging Biomarkers in Addiction.medRxiv : the preprint server for health sciences · 2024
    Article
  14. Candidate biomarkers in psychiatric disorders: state of the field.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2023
    Article
  15. Article
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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

4 authors.

Scott J MoellerDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA. Electronic address: scott.moeller@mssm.edu.
Lucia BedersonDepartment of Psychology, New York University, New York, NY, USA.
Nelly Alia-KleinDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Rita Z GoldsteinDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA. Electronic address: rita.goldstein@mssm.edu.

Funding

Genetic markers associated with brain structural abnormalities and drug use in human addictionK01DA037452 · NIDA · STATE UNIVERSITY NEW YORK STONY BROOK · PI MOELLER, SCOTT J · 2015 to 2019
$778k
NIDA NIH HHS 1K01DA037452NIDA NIH HHS K01 DA037452
6 · The paper itself

Abstract

A core deficit in drug addiction is the inability to inhibit maladaptive drug-seeking behavior. Consistent with this deficit, drug-addicted individuals show reliable cross-sectional differences from healthy nonaddicted controls during tasks of response inhibition accompanied by brain activation abnormalities as revealed by functional neuroimaging. However, it is less clear whether inhibition-related deficits predate the transition to problematic use, and, in turn, whether these deficits predict the transition out of problematic substance use. Here, we review longitudinal studies of response inhibition in children/adolescents with little substance experience and longitudinal studies of already addicted individuals attempting to sustain abstinence. Results show that response inhibition and its underlying neural correlates predict both substance use outcomes (onset and abstinence). Neurally, key roles were observed for multiple regions of the frontal cortex (e.g., inferior frontal gyrus, dorsal anterior cingulate cortex, and dorsolateral prefrontal cortex). In general, less activation of these regions during response inhibition predicted not only the onset of substance use, but interestingly also better abstinence-related outcomes among individuals already addicted. The role of subcortical areas, although potentially important, is less clear because of inconsistent results and because these regions are less classically reported in studies of healthy response inhibition. Overall, this review indicates that response inhibition is not simply a manifestation of current drug addiction, but rather a core neurocognitive dimension that predicts key substance use outcomes. Early intervention in inhibitory deficits could have high clinical and public health relevance.

Indexed as

Functional NeuroimagingInhibition, PsychologicalAnimalsBehavior, AddictiveBrainHumansPsychomotor PerformanceSubstance-Related DisordersClinical outcomeDevelopmental trajectoriesDrug addictionfMRIInhibitory controlLongitudinal designsResponse inhibition

Identifiers

PMID26806776
PMCPMC5319822

What OpenQuestion holds

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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.