Evidence map›Paper›PMID 30248560›Full record

ArticleDrug and alcohol dependence2018

Response inhibition and fronto-striatal-thalamic circuit dysfunction in cocaine addiction.

Wuyi Wang, Patrick D Worhunsky, Sheng Zhang, Thang M Le, Marc N Potenza, Chiang-Shan R Li

Abstract read
In one paragraph

Article in Drug and alcohol dependence, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 2 pooled it
1.8field-weighted citation impact, top 16% 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

24 citing papers in PubMed, 2 syntheses or guidelines pooled it, 39 citations in OpenAlex.

  1. Pooled it
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  13. The Neural Signature of Impaired Inhibitory Control in Individuals with Heroin Use Disorder.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023
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  14. Residual deficits in functional brain activity after chronic cocaine self-administration in rhesus monkeys.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2023
    Article
  15. Independent component analysis for internet gaming disorder.Dialogues in clinical neuroscience · 2023
    Review
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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

6 authors at 1 institution in 1 country.

Wuyi WangDepartment of Psychiatry, Yale University School of Medicine, 300 George St, #901, New Haven, CT 06511, USA; Connecticut Mental Health Center, 34 Park St, New Haven, CT 06519, USA. Electronic address: wuyi.wang@yale.edu.
Patrick D WorhunskyDepartment of Psychiatry, Yale University School of Medicine, 300 George St, #901, New Haven, CT 06511, USA.
Sheng ZhangDepartment of Psychiatry, Yale University School of Medicine, 300 George St, #901, New Haven, CT 06511, USA; Connecticut Mental Health Center, 34 Park St, New Haven, CT 06519, USA.
Thang M LeDepartment of Psychiatry, Yale University School of Medicine, 300 George St, #901, New Haven, CT 06511, USA; Connecticut Mental Health Center, 34 Park St, New Haven, CT 06519, USA.
Marc N PotenzaDepartment of Psychiatry, Yale University School of Medicine, 300 George St, #901, New Haven, CT 06511, USA; Connecticut Mental Health Center, 34 Park St, New Haven, CT 06519, USA; Department of Neuroscience, Yale University School of Medicine, 200 S Frontage Rd, New Haven, CT 06510, USA; Child Study Center, Yale University School of Medicine, 230 South Frontage Rd., New Haven, CT 06519, USA; Interdepartmental Neuroscience Program, Yale University School of Medicine, SHM L-200, P.O. Box 208074, New Haven CT 06520-8074, USA; Connecticut Council on Problem Gambling, 100 Great Meadow Rd., Wethersfield, CT 06109, USA.
Chiang-Shan R LiDepartment of Psychiatry, Yale University School of Medicine, 300 George St, #901, New Haven, CT 06511, USA; Connecticut Mental Health Center, 34 Park St, New Haven, CT 06519, USA; Department of Neuroscience, Yale University School of Medicine, 200 S Frontage Rd, New Haven, CT 06510, USA; Interdepartmental Neuroscience Program, Yale University School of Medicine, SHM L-200, P.O. Box 208074, New Haven CT 06520-8074, USA.
Yale University · US

Funding

Cognitive control and cocaine dependence: thalamic noradrenergic processesR01DA023248 · NIDA · YALE UNIVERSITY · PI LI, CHIANG-SHAN RAY · 2008 to 2018
$4.0M
Neural mechanisms of CBT in cocaine dependence (Gender Differences Supplement)R01DA035058 · NIDA · YALE UNIVERSITY · PI CARROLL, KATHLEEN M., POTENZA, MARC N · 2013 to 2016
$2.3M
Investigation of neurofunctional reorganization in cocaine addiction using mGluR5 PET and fMRIK01DA042998 · NIDA · YALE UNIVERSITY · PI WORHUNSKY, PATRICK D · 2017 to 2021
$900k
Thalamic cortical dysfunction and predictors of relapse in cocaine dependenceK25DA040032 · NIDA · YALE UNIVERSITY · PI ZHANG, SHENG · 2015 to 2019
$834k
Functional networks related to cocaine dependence and its treatment and relapseR01DA039136 · NIDA · YALE UNIVERSITY · PI POTENZA, MARC N · 2016 to 2018
$754k
Imaging the monoaminergic midbrain and cognitive control in cocaine addictionR21DA044749 · NIDA · YALE UNIVERSITY · PI LI, CHIANG-SHAN RAY · 2018 to 2019
$704k
NIDA NIH HHS K01 DA042998NIDA NIH HHS K25 DA040032NIDA NIH HHS R01 DA023248NIDA NIH HHS R01 DA035058NIDA NIH HHS R01 DA039136NIDA NIH HHS R21 DA044749
6 · The paper itself

Abstract

backgroundMany studies have investigated how cognitive control may be compromised in cocaine addiction. Here, we extend this literature by employing spatial Independent Component Analysis (ICA) to describe circuit dysfunction in relation to impairment in response inhibition in cocaine addiction.

methodsFifty-five cocaine-dependent (CD) and 55 age- and sex-matched non-drug-using healthy control individuals (HC) participated in the study. Task-relatedness of 40 independent components (ICs) was assessed using multiple regression analyses of component time courses with the modeled time courses of hemodynamic activity convolved with go success (GS), stop success (SS) and stop error (SE). This procedure produced beta-weights that represented the degree to which each IC was temporally associated with, or 'engaged', by each task event.

resultsBehaviorally, CD participants showed prolonged stop signal reaction times (SSRTs) as compared to HC participants (p < 0.01). ICA identified two networks that showed differences in engagement related to SS between CD and HC (p < 0.05, FDR-corrected). The activity of the fronto-striatal-thalamic network was negatively correlated with SSRTs in HC but not in CD, suggesting a specific role of this network in mediating deficits of response inhibition in CD individuals. In contrast, the engagement of the fronto-parietal-temporal network did not relate to SSRTs, was similarly less engaged for both SS and SE trials, and may reflect attentional dysfunction in cocaine addiction.

conclusionsThis study highlights the utility of ICA in identifying neural circuitry engagement related to SST performance and suggests that specific networks may represent important targets in remedying executive-control impairment in cocaine addiction.

Indexed as

Inhibition, PsychologicalAdultCocaine-Related DisordersCorpus StriatumExecutive FunctionFemaleFrontal LobeHumansMagnetic Resonance ImagingMaleMiddle AgedNerve NetPhotic StimulationReaction TimeThalamusCocaine abusefMRIICASSRTStop signal task

Identifiers

PMID30248560
PMCPMC6200592
OpenAlexW2889753394

What OpenQuestion holds

Textmetadata
LicenceTDM
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.