Literature DB >> 15808502

Neurocognitive insights into substance abuse.

Hugh Garavan1, Julie C Stout.   

Abstract

Cognitive studies are revealing key aspects of how drug abusers monitor and respond to negative feedback differently from non-abusers, and in doing so are adding an important piece to the conceptual puzzle that must be solved to understand, treat, and prevent drug abuse. In this review, we bring together two quite different lines of research, one addressing the selection of gambles in a risky decision task, and the other focused on imaging neural systems related to the detection and processing of errors. We suggest that diminished behavioural control, which is a cardinal feature of drug abuse, may be linked to alterations in the psychological and neural mechanisms that detect error signals and which, in turn, lead to optimization of behavioural responses.

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Year:  2005        PMID: 15808502     DOI: 10.1016/j.tics.2005.02.008

Source DB:  PubMed          Journal:  Trends Cogn Sci        ISSN: 1364-6613            Impact factor:   20.229


  87 in total

1.  Reflection impulsivity in adolescent cannabis users: a comparison with alcohol-using and non-substance-using adolescents.

Authors:  Nadia Solowij; Katy A Jones; Megan E Rozman; Sasha M Davis; Joseph Ciarrochi; Patrick C L Heaven; Nicole Pesa; Dan I Lubman; Murat Yücel
Journal:  Psychopharmacology (Berl)       Date:  2011-09-21       Impact factor: 4.530

2.  Prefrontal-striatal pathway underlies cognitive regulation of craving.

Authors:  Hedy Kober; Peter Mende-Siedlecki; Ethan F Kross; Jochen Weber; Walter Mischel; Carl L Hart; Kevin N Ochsner
Journal:  Proc Natl Acad Sci U S A       Date:  2010-08-02       Impact factor: 11.205

3.  The Neurocognitive Mechanisms of Decision-making, Impulse Control, and Loss of Willpower to Resist Drugs.

Authors:  Xavier Noël; Martial Van Der Linden; Antoine Bechara
Journal:  Psychiatry (Edgmont)       Date:  2006-05

4.  Methylphenidate has nonlinear dose effects on cued response inhibition in adults but not adolescents.

Authors:  Nicholas W Simon; Bita Moghaddam
Journal:  Brain Res       Date:  2016-07-16       Impact factor: 3.252

Review 5.  Common and distinct networks underlying reward valence and processing stages: a meta-analysis of functional neuroimaging studies.

Authors:  Xun Liu; Jacqueline Hairston; Madeleine Schrier; Jin Fan
Journal:  Neurosci Biobehav Rev       Date:  2010-12-24       Impact factor: 8.989

6.  Punishment induces risky decision-making in methadone-maintained opiate users but not in heroin users or healthy volunteers.

Authors:  Karen D Ersche; Jonathan P Roiser; Luke Clark; Mervyn London; Trevor W Robbins; Barbara J Sahakian
Journal:  Neuropsychopharmacology       Date:  2005-11       Impact factor: 7.853

7.  Neurobiological impact of nicotinic acetylcholine receptor agonists: an activation likelihood estimation meta-analysis of pharmacologic neuroimaging studies.

Authors:  Matthew T Sutherland; Kimberly L Ray; Michael C Riedel; Julio A Yanes; Elliot A Stein; Angela R Laird
Journal:  Biol Psychiatry       Date:  2015-01-07       Impact factor: 13.382

8.  Individual differences in childhood sleep problems predict later cognitive executive control.

Authors:  Naomi P Friedman; Robin P Corley; John K Hewitt; Kenneth P Wright
Journal:  Sleep       Date:  2009-03       Impact factor: 5.849

9.  Smoking reduces conflict-related anterior cingulate activity in abstinent cigarette smokers performing a Stroop task.

Authors:  Allen Azizian; Liam J Nestor; Doris Payer; John R Monterosso; Arthur L Brody; Edythe D London
Journal:  Neuropsychopharmacology       Date:  2009-11-11       Impact factor: 7.853

10.  Neural correlates of performance monitoring in chronic cannabis users and cannabis-naive controls.

Authors:  Daniel J Fridberg; Patrick D Skosnik; William P Hetrick; Brian F O'Donnell
Journal:  J Psychopharmacol       Date:  2013-02-20       Impact factor: 4.153

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