Literature DB >> 24329936

Striatum and insula dysfunction during reinforcement learning differentiates abstinent and relapsed methamphetamine-dependent individuals.

Jennifer L Stewart1, Colm G Connolly, April C May, Susan F Tapert, Marc Wittmann, Martin P Paulus.   

Abstract

BACKGROUND AND AIMS: Individuals with methamphetamine dependence (MD) exhibit dysfunction in brain regions involved in goal maintenance and reward processing when compared with healthy individuals. We examined whether these characteristics also reflect relapse vulnerability within a sample of MD patients.
DESIGN: Longitudinal, with functional magnetic resonance imaging (fMRI) and clinical interview data collected at baseline and relapse status collected at 1-year follow-up interview.
SETTING: Keck Imaging Center, University of California San Diego, USA. PARTICIPANTS: MD patients (n = 60) enrolled into an in-patient drug treatment program at baseline. MD participants remaining abstinent at 1-year follow-up (abstinent MD group; n = 42) were compared with MD participants who relapsed within this period (relapsed MD group; n = 18). MEASUREMENTS: Behavioral and neural responses to a reinforcement learning (paper-scissors-rock) paradigm recorded during an fMRI session at time of treatment.
FINDINGS: The relapsed MD group exhibited greater bilateral inferior frontal gyrus (IFG) and right striatal activation than the abstinent MD group during the learning of reward contingencies (Cohen's d range: 0.60-0.83). In contrast, the relapsed MD group displayed lower bilateral striatum, bilateral insula, left IFG and left anterior cingulate activation than the abstinent MD group (Cohen's d range: 0.90-1.23) in response to winning, tying and losing feedback.
CONCLUSIONS: Methamphetamine-dependent individuals who achieve abstinence and then relapse show greater inferior frontal gyrus activation during learning, and relatively attenuated striatal, insular and frontal activation in response to feedback, compared with methamphetamine-dependent people who remain abstinent.
© 2013 Society for the Study of Addiction.

Entities:  

Keywords:  Decision-making; fMRI; learning; methamphetamine; relapse; reward

Mesh:

Substances:

Year:  2013        PMID: 24329936      PMCID: PMC3945155          DOI: 10.1111/add.12403

Source DB:  PubMed          Journal:  Addiction        ISSN: 0965-2140            Impact factor:   6.526


  64 in total

1.  Trend detection via temporal difference model predicts inferior prefrontal cortex activation during acquisition of advantageous action selection.

Authors:  Martin P Paulus; Justin S Feinstein; Susan F Tapert; Thomas T Liu
Journal:  Neuroimage       Date:  2004-02       Impact factor: 6.556

2.  Frontal glucose hypometabolism in abstinent methamphetamine users.

Authors:  Seog Ju Kim; In Kyoon Lyoo; Jaeuk Hwang; Young Hoon Sung; Ho Young Lee; Dong Soo Lee; Do-Un Jeong; Perry F Renshaw
Journal:  Neuropsychopharmacology       Date:  2005-07       Impact factor: 7.853

3.  Loss of dopamine transporters in methamphetamine abusers recovers with protracted abstinence.

Authors:  N D Volkow; L Chang; G J Wang; J S Fowler; D Franceschi; M Sedler; S J Gatley; E Miller; R Hitzemann; Y S Ding; J Logan
Journal:  J Neurosci       Date:  2001-12-01       Impact factor: 6.167

4.  Young adults at risk for stimulant dependence show reward dysfunction during reinforcement-based decision making.

Authors:  Jennifer L Stewart; Taru M Flagan; April C May; Martina Reske; Alan N Simmons; Martin P Paulus
Journal:  Biol Psychiatry       Date:  2012-09-26       Impact factor: 13.382

5.  Prefrontal hypoactivation during cognitive control in early abstinent methamphetamine-dependent subjects.

Authors:  Liam J Nestor; Dara G Ghahremani; John Monterosso; Edythe D London
Journal:  Psychiatry Res       Date:  2011-11-01       Impact factor: 3.222

Review 6.  The insula and drug addiction: an interoceptive view of pleasure, urges, and decision-making.

Authors:  Nasir H Naqvi; Antoine Bechara
Journal:  Brain Struct Funct       Date:  2010-05-29       Impact factor: 3.270

7.  Individual differences in reinforcement learning: behavioral, electrophysiological, and neuroimaging correlates.

Authors:  Diane L Santesso; Daniel G Dillon; Jeffrey L Birk; Avram J Holmes; Elena Goetz; Ryan Bogdan; Diego A Pizzagalli
Journal:  Neuroimage       Date:  2008-07-02       Impact factor: 6.556

8.  Executive control deficits in substance-dependent individuals: a comparison of alcohol, cocaine, and methamphetamine and of men and women.

Authors:  Ellen A A van der Plas; Eveline A Crone; Wery P M van den Wildenberg; Daniel Tranel; Antoine Bechara
Journal:  J Clin Exp Neuropsychol       Date:  2008-11-26       Impact factor: 2.475

Review 9.  The methamphetamine problem in the United States.

Authors:  Rachel Gonzales; Larissa Mooney; Richard A Rawson
Journal:  Annu Rev Public Health       Date:  2010       Impact factor: 21.981

10.  Drug addiction endophenotypes: impulsive versus sensation-seeking personality traits.

Authors:  Karen D Ersche; Abigail J Turton; Shachi Pradhan; Edward T Bullmore; Trevor W Robbins
Journal:  Biol Psychiatry       Date:  2010-08-01       Impact factor: 13.382

View more
  30 in total

1.  Anticipatory reward processing among cocaine-dependent individuals with and without concurrent methadone-maintenance treatment: Relationship to treatment response.

Authors:  Sarah W Yip; Elise E DeVito; Hedy Kober; Patrick D Worhunsky; Kathleen M Carroll; Marc N Potenza
Journal:  Drug Alcohol Depend       Date:  2016-07-16       Impact factor: 4.492

2.  The role of the dorsal anterior insula in sexual risk: Evidence from an erotic Go/NoGo task and real-world risk-taking.

Authors:  Feng Xue; Vita Droutman; Emily E Barkley-Levenson; Benjamin J Smith; Gui Xue; Lynn C Miller; Antoine Bechara; Zhong-Lin Lu; Stephen J Read
Journal:  Hum Brain Mapp       Date:  2018-01-03       Impact factor: 5.038

Review 3.  Revisiting the role of the insula in addiction.

Authors:  Vita Droutman; Stephen J Read; Antoine Bechara
Journal:  Trends Cogn Sci       Date:  2015-06-08       Impact factor: 20.229

4.  Individualized relapse prediction: Personality measures and striatal and insular activity during reward-processing robustly predict relapse.

Authors:  Joshua L Gowin; Tali M Ball; Marc Wittmann; Susan F Tapert; Martin P Paulus
Journal:  Drug Alcohol Depend       Date:  2015-04-30       Impact factor: 4.492

Review 5.  Neural underpinnings of maladaptive decision-making in addictions.

Authors:  Zoe Guttman; Scott J Moeller; Edythe D London
Journal:  Pharmacol Biochem Behav       Date:  2017-06-27       Impact factor: 3.533

6.  Model-Free and Model-Based Influences in Addiction-Related Behaviors.

Authors:  Stephanie M Groman; Bart Massi; Samuel R Mathias; Daeyeol Lee; Jane R Taylor
Journal:  Biol Psychiatry       Date:  2019-01-04       Impact factor: 13.382

7.  Analysis of alcohol use disorders from the Nathan Kline Institute-Rockland Sample: Correlation of brain cortical thickness with neuroticism.

Authors:  Yihong Zhao; Zhi-Liang Zheng; F Xavier Castellanos
Journal:  Drug Alcohol Depend       Date:  2016-11-08       Impact factor: 4.492

8.  Cocaine dependent individuals with attenuated striatal activation during reinforcement learning are more susceptible to relapse.

Authors:  Jennifer L Stewart; Colm G Connolly; April C May; Susan F Tapert; Marc Wittmann; Martin P Paulus
Journal:  Psychiatry Res       Date:  2014-05-10       Impact factor: 3.222

9.  Altered neural encoding of prediction errors in assault-related posttraumatic stress disorder.

Authors:  Marisa C Ross; Jennifer K Lenow; Clinton D Kilts; Josh M Cisler
Journal:  J Psychiatr Res       Date:  2018-05-12       Impact factor: 4.791

10.  A preliminary study of longitudinal neuroadaptation associated with recovery from addiction.

Authors:  Sarah E Forster; Peter R Finn; Joshua W Brown
Journal:  Drug Alcohol Depend       Date:  2016-09-09       Impact factor: 4.492

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.