Evidence map›Paper›PMID 23485852›Full record

ArticleBrain : a journal of neurology2013

Error processing and gender-shared and -specific neural predictors of relapse in cocaine dependence.

Xi Luo, Sheng Zhang, Sien Hu, Sarah R Bednarski, Emily Erdman, Olivia M Farr, Kwang-Ik Hong, Rajita Sinha, Carolyn M Mazure, Chiang-Shan R Li

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in Brain : a journal of neurology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed, 4 pooled it
6.7field-weighted citation impact, top 2% 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

66 citing papers in PubMed, 4 syntheses or guidelines pooled it, 106 citations in OpenAlex.

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  5. 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
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6 more citing papers are in PubMed but not listed here.

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

10 authors at 2 institutions in 1 country.

Xi LuoDepartment of Psychiatry, Yale University School of Medicine, 34 Park Street, New Haven, CT 06519, USA.
Sheng Zhang
Sien Hu
Sarah R Bednarski
Emily Erdman
Olivia M Farr
Kwang-Ik Hong
Rajita Sinha
Carolyn M Mazure
Chiang-Shan R Li
Yale University · USBrown University · US

Funding

Translational ScienceP30AI042853 · NIAID · MIRIAM HOSPITAL · PI LARRY K BROWN · 1998 to 2026
$51.7M
Virology CoreP01AA019072 · NIAAA · BROWN UNIVERSITY · PI KAHLER, CHRISTOPHER W. · 2010 to 2024
$19.7M
Sex Differences in Stress Related RelapseP50DA016556 · NIDA · YALE UNIVERSITY · PI SINHA, RAJITA · 2002 to 2011
$10.4M
Cognitive control and cocaine dependence: thalamic noradrenergic processesR01DA023248 · NIDA · YALE UNIVERSITY · PI LI, CHIANG-SHAN RAY · 2008 to 2018
$4.0M
Imaging Cognitive Control in Cocaine DependenceK02DA026990 · NIDA · YALE UNIVERSITY · PI LI, CHIANG-SHAN RAY · 2009 to 2013
$639k
NIAAA NIH HHS P01 AA019072NIAAA NIH HHS P01-AA019072NIAID NIH HHS P30-AI042853NIDA NIH HHS K02-DA026990NIDA NIH HHS P50-DA16556NIDA NIH HHS R01-DA023248
6 · The paper itself

Abstract

Deficits in cognitive control are implicated in cocaine dependence. Previously, combining functional magnetic resonance imaging and a stop signal task, we demonstrated altered cognitive control in cocaine-dependent individuals. However, the clinical implications of these cross-sectional findings and, in particular, whether the changes were associated with relapse to drug use, were not clear. In a prospective study, we recruited 97 treatment-seeking individuals with cocaine dependence to perform the stop signal task during functional magnetic resonance imaging and participate in follow-up assessments for 3 months, during which time cocaine use was evaluated with timeline follow back and ascertained by urine toxicology tests. Functional magnetic resonance imaging data were analysed using general linear models as implemented in Statistical Parametric Mapping 8, with the contrast 'stop error greater than stop success trials' to index error processing. Using voxelwise analysis with logistic and Cox regressions, we identified brain activations of error processing that predict relapse and time to relapse. In females, decreased error-related activations of the thalamus and dorsal anterior cingulate cortex predicted relapse and an earlier time to relapse. In males, decreased error-related activations of the dorsal anterior cingulate cortex and left insula predicted relapse and an earlier time to relapse. These regional activations were validated with data resampling and predicted relapse with an average area under the curve of 0.849 in receiver operating characteristic analyses. These findings provide direct evidence linking deficits in cognitive control to clinical outcome in a moderate-sized cohort of cocaine-dependent individuals. These results may provide a useful basis for future studies to examine how psychosocial factors interact with cognitive control to determine drug use and to evaluate the efficacy of pharmacological or behavioural treatment in remediating deficits of cognitive control in cocaine addicts.

Indexed as

Inhibition, PsychologicalSex CharacteristicsAdolescentAdultCocaine-Related DisordersFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedNeuronsPredictive Value of TestsSecondary PreventionYoung Adult

Identifiers

PMID23485852
PMCPMC3613717
OpenAlexW2115873479

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.