Literature DB >> 24629029

Clinical correlates of attentional bias to drug cues associated with cocaine dependence.

Ashley P Kennedy1, Robin E Gross, Tim Ely, Karen P G Drexler, Clinton D Kilts.   

Abstract

BACKGROUND AND
OBJECTIVE: Preoccupation (attentional bias) related to drug-related stimuli has been consistently observed for drug-dependent persons with several studies reporting an association of the magnitude of measured attentional bias with treatment outcomes. The major goal of the present study was to determine if pre-treatment attentional bias to personal drug use reminders in an addiction Stroop task predicts relapse in treatment-seeking, cocaine-dependent subjects.
METHODS: We sought to maximize the potential of attentional bias as a marker of risk for relapse by incorporating individualized rather than generalized drug use cues to reflect the personal conditioned associations that form the incentive motivation properties of drug cues in a sample of cocaine-dependent subjects (N = 35).
RESULTS: Although a significant group Stroop interference effect was present for drug versus neutral stimuli (ie, attentional bias), the level of attentional bias for cocaine-use words was not predictive of eventual relapse in this sample (d = .56). A similar lack of prediction power was observed for a non-drug counting word Stroop task as a significant interference effect was detected but did not predict relapse outcomes (d = .40). CONCLUSIONS AND SCIENTIFIC SIGNIFICANCE: The results of the present study do not provide clear support for the predictive value of individual variation in drug-related attentional bias to forecast probability of relapse in cocaine-dependent men. © American Academy of Addiction Psychiatry.

Entities:  

Mesh:

Year:  2014        PMID: 24629029      PMCID: PMC4139465          DOI: 10.1111/j.1521-0391.2014.12134.x

Source DB:  PubMed          Journal:  Am J Addict        ISSN: 1055-0496


  41 in total

1.  Role of the anterior cingulate and medial orbitofrontal cortex in processing drug cues in cocaine addiction.

Authors:  R Z Goldstein; D Tomasi; S Rajaram; L A Cottone; L Zhang; T Maloney; F Telang; N Alia-Klein; N D Volkow
Journal:  Neuroscience       Date:  2006-12-29       Impact factor: 3.590

2.  Selective processing of cannabis cues in regular cannabis users.

Authors:  Matt Field; Brian Eastwood; Brendan P Bradley; Karin Mogg
Journal:  Drug Alcohol Depend       Date:  2006-05-15       Impact factor: 4.492

3.  The addiction-stroop test: Theoretical considerations and procedural recommendations.

Authors:  W Miles Cox; Javad Salehi Fadardi; Emmanuel M Pothos
Journal:  Psychol Bull       Date:  2006-05       Impact factor: 17.737

4.  Attentional bias for alcohol-related information in adolescents with alcohol-dependent parents.

Authors:  Jessica I Zetteler; Brian T Stollery; Aviv M Weinstein; Anne R Lingford-Hughes
Journal:  Alcohol Alcohol       Date:  2006-04-19       Impact factor: 2.826

5.  Performance on the Stroop predicts treatment compliance in cocaine-dependent individuals.

Authors:  Chris C Streeter; Devin B Terhune; Theodore H Whitfield; Staci Gruber; Ofra Sarid-Segal; Marisa M Silveri; Golfo Tzilos; Maryam Afshar; Elizabeth D Rouse; Hua Tian; Perry F Renshaw; Domenic A Ciraulo; Deborah A Yurgelun-Todd
Journal:  Neuropsychopharmacology       Date:  2007-06-13       Impact factor: 7.853

6.  Attentional bias predicts heroin relapse following treatment.

Authors:  Marlies A E Marissen; Ingmar H A Franken; Andrew J Waters; Peter Blanken; Wim van den Brink; Vincent M Hendriks
Journal:  Addiction       Date:  2006-09       Impact factor: 6.526

7.  Cannabis 'dependence' and attentional bias for cannabis-related words.

Authors:  M Field
Journal:  Behav Pharmacol       Date:  2005-09       Impact factor: 2.293

8.  The counting Stroop: a cognitive interference task.

Authors:  George Bush; Paul J Whalen; Lisa M Shin; Scott L Rauch
Journal:  Nat Protoc       Date:  2006       Impact factor: 13.491

9.  Drug Stroop performance: relationships with primary substance of use and treatment outcome in a drug-dependent outpatient sample.

Authors:  Kenneth M Carpenter; Elizabeth Schreiber; Sarah Church; David McDowell
Journal:  Addict Behav       Date:  2006-01       Impact factor: 3.913

10.  Attentional bias towards cocaine-related stimuli: relationship to treatment-seeking for cocaine dependence.

Authors:  Nehal P Vadhan; Kenneth M Carpenter; Marc L Copersino; Carl L Hart; Richard W Foltin; Edward V Nunes
Journal:  Am J Drug Alcohol Abuse       Date:  2007       Impact factor: 3.829

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1.  Visual cortex activation to drug cues: a meta-analysis of functional neuroimaging papers in addiction and substance abuse literature.

Authors:  Colleen A Hanlon; Logan T Dowdle; Thomas Naselaris; Melanie Canterberry; Bernadette M Cortese
Journal:  Drug Alcohol Depend       Date:  2014-08-10       Impact factor: 4.492

2.  Drug Stroop: Mechanisms of response to computerized cognitive behavioral therapy for cocaine dependence in a randomized clinical trial.

Authors:  Elise E DeVito; Brian D Kiluk; Charla Nich; Maria Mouratidis; Kathleen M Carroll
Journal:  Drug Alcohol Depend       Date:  2017-12-07       Impact factor: 4.492

3.  Anti-saccade error rates as a measure of attentional bias in cocaine dependent subjects.

Authors:  Nadeeka R Dias; Joy M Schmitz; Nuvan Rathnayaka; Stuart D Red; Anne B Sereno; F Gerard Moeller; Scott D Lane
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Review 4.  A Patient-Tailored Evidence-Based Approach for Developing Early Neuropsychological Training Programs in Addiction Settings.

Authors:  Benjamin Rolland; Fabien D'Hondt; Solène Montègue; Mélanie Brion; Eric Peyron; Julia D'Aviau de Ternay; Philippe de Timary; Mikaïl Nourredine; Pierre Maurage
Journal:  Neuropsychol Rev       Date:  2019-01-03       Impact factor: 7.444

Review 5.  Biomarkers for Success: Using Neuroimaging to Predict Relapse and Develop Brain Stimulation Treatments for Cocaine-Dependent Individuals.

Authors:  C A Hanlon; L T Dowdle; J L Jones
Journal:  Int Rev Neurobiol       Date:  2016-07-25       Impact factor: 3.230

6.  The role of affect, emotion management, and attentional bias in young adult drinking: An experience sampling study.

Authors:  Noah N Emery; Jeffrey S Simons
Journal:  Psychopharmacology (Berl)       Date:  2020-03-31       Impact factor: 4.530

7.  No effect of attentional bias modification training in methamphetamine users receiving residential treatment.

Authors:  Andy C Dean; Erika L Nurmi; Scott J Moeller; Nader Amir; Michelle Rozenman; Dara G Ghahremani; Maritza Johnson; Robert Berberyan; Gerhard Hellemann; Ziwei Zhang; Edythe D London
Journal:  Psychopharmacology (Berl)       Date:  2018-11-10       Impact factor: 4.530

8.  Cognitive Biases in Cannabis, Opioid, and Stimulant Disorders: A Systematic Review.

Authors:  Melvyn W B Zhang; Jiangbo Ying; Tracey Wing; Guo Song; Daniel S S Fung; Helen E Smith
Journal:  Front Psychiatry       Date:  2018-08-15       Impact factor: 4.157

9.  Selective attentional bias to food-related stimuli in healthy individuals with characteristics towards orthorexia nervosa.

Authors:  Ian P Albery; Monika Michalska; Antony C Moss; Marcantonio Spada
Journal:  Eat Weight Disord       Date:  2019-07-27       Impact factor: 4.652

10.  Reduction of psychological cravings and anxiety in women compulsorily isolated for detoxification using autonomous sensory meridian response (ASMR).

Authors:  Mei Qi Hu; Hui Ling Li; Si Qi Huang; Yu Tong Jin; Song Song Wang; Liang Ying; Yuan Yuan Qi; Xin Yu; Qiang Zhou
Journal:  Brain Behav       Date:  2022-06-08       Impact factor: 3.405

  10 in total

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