Stimulant use and dependence are important problems among young adults in the U.S. It has been suggested that an imbalance between motivational drives for novel experiences and inhibitory control systems could predispose to impulsive and risk-taking behaviors. Decision-making, risk-taking, and error processing are inter-related processes that are important for every-day functioning and have been implicated in subjects with substance dependence. Functional neuroimaging studies have shown that decision-making is critically dependent on the activation of inferior prefrontal cortex, ventromedial and ventrolateral frontal cortex, anterior cingulate, insula, and parietal cortex. Our main goal is to identify differences in brain processes and their underlying neural activation patterns between young adults who use stimulants and are at risk for transition to stimulant dependence and matched comparison subjects. We will use risk-taking decision-making paradigms during functional magnetic resonance imaging (fMRI) to determine the activation patterns related to risk-taking, decision-making, and error processing.
The specific aims are: 1. We will contrast brain functioning during risk-taking decision-making using fMRI in subjects who recently used stimulants (i.e. are at higher risk for developing stimulant dependence) and in subjects who have never used stimulants. 2. We will evaluate the relationship between risk-taking decision-making tasks and the fMRI activation pattern at baseline and the future development of stimulant dependence in stimulant-using subjects. The hypotheses are that stimulant using subjects, relative to subjects who have never taken stimulants, will show more risk-taking behavior during decision-making paradigms and will show less activation of brain areas that are critical for error processing, including the anterior cingulate, insula, inferior prefrontal and medial prefrontal cortex. Moreover, it is hypothesized that subjects who develop dependence relative to those who do not show more rigid stimulus-bond decision-making and less activation in the posterior parietal cortex. Testing these hypotheses will advance the neurobiology of substance dependence by (1) identifying the neural substrates that may differentiate stimulant using versus non-using subjects; (2) relating behavioral characteristics during risk-taking decision-making in stimulant using subjects to patterns of brain activation; (3) identifying patterns of brain activation that are predictive of transition to stimulant dependence. ? ?

Agency
National Institute of Health (NIH)
Institute
National Institute on Drug Abuse (NIDA)
Type
Research Project (R01)
Project #
5R01DA016663-04
Application #
7215270
Study Section
Neural Basis of Psychopathology, Addictions and Sleep Disorders Study Section (NPAS)
Program Officer
Grant, Steven J
Project Start
2004-04-01
Project End
2009-03-31
Budget Start
2007-04-01
Budget End
2008-03-31
Support Year
4
Fiscal Year
2007
Total Cost
$321,899
Indirect Cost
Name
University of California San Diego
Department
Psychiatry
Type
Schools of Medicine
DUNS #
804355790
City
La Jolla
State
CA
Country
United States
Zip Code
92093
Khalsa, Sahib S; Adolphs, Ralph; Cameron, Oliver G et al. (2018) Interoception and Mental Health: A Roadmap. Biol Psychiatry Cogn Neurosci Neuroimaging 3:501-513
Blair, Melanie A; Stewart, Jennifer L; May, April C et al. (2018) Blunted Frontostriatal Blood Oxygen Level-Dependent Signals Predict Stimulant and Marijuana Use. Biol Psychiatry Cogn Neurosci Neuroimaging 3:947-958
Stewart, Jennifer L; Butt, Mamona; May, April C et al. (2017) Insular and cingulate attenuation during decision making is associated with future transition to stimulant use disorder. Addiction 112:1567-1577
Huang, He; Thompson, Wesley; Paulus, Martin P (2017) Computational Dysfunctions in Anxiety: Failure to Differentiate Signal From Noise. Biol Psychiatry 82:440-446
Gowin, Joshua L; May, April C; Wittmann, Marc et al. (2017) Doubling down: increased risk-taking behavior following a loss by individuals with cocaine use disorder is associated with striatal and anterior cingulate dysfunction. Biol Psychiatry Cogn Neurosci Neuroimaging 2:94-103
Gowin, Joshua L; Ball, Tali M; Wittmann, Marc et al. (2017) Corrigendum to ""Individualized relapse prediction: Personality measures and striatal and insular activity during reward-processing robustly predict relapse"" [Drug and Alcohol Dependence 152 (2015) 93-101]. Drug Alcohol Depend 175:255
Squeglia, Lindsay M; Ball, Tali M; Jacobus, Joanna et al. (2017) Neural Predictors of Initiating Alcohol Use During Adolescence. Am J Psychiatry 174:172-185
Harlé, Katia M; Zhang, Shunan; Ma, Ning et al. (2016) Reduced Neural Recruitment for Bayesian Adjustment of Inhibitory Control in Methamphetamine Dependence. Biol Psychiatry Cogn Neurosci Neuroimaging 1:448-459
Gowin, Joshua L; Ball, Tali M; Wittmann, Marc et al. (2015) Individualized relapse prediction: Personality measures and striatal and insular activity during reward-processing robustly predict relapse. Drug Alcohol Depend 152:93-101
Stewart, Jennifer L; May, April C; Tapert, Susan F et al. (2015) Hyperactivation to pleasant interoceptive stimuli characterizes the transition to stimulant addiction. Drug Alcohol Depend 154:264-70

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