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Neuroeconomics and adolescent substance abuse: individual differences in neural networks and delay discounting. | LitMetric

AI Article Synopsis

  • Adolescents with substance use issues show poor treatment responses, linked to how they make impulsive decisions, specifically their tendency to prefer immediate rewards over delayed ones (delay discounting).
  • A study involving 30 adolescents assessed their decision-making through a task while using functional magnetic resonance imaging (fMRI) to observe brain activity, revealing that higher impulsivity was connected to less engagement in brain areas responsible for executive control and more activation of reward valuation areas.
  • The findings highlight the interaction between decision-making networks in the brain, suggesting that understanding and addressing impulsivity could improve treatment outcomes for adolescent substance abuse.

Article Abstract

Objective: Many adolescents with substance use problems show poor response to evidence-based treatments. Treatment outcome has been associated with individual differences in impulsive decision making as reflected by delay discounting (DD) rates (preference for immediate rewards). Adolescents with higher rates of DD were expected to show greater neural activation in brain regions mediating impulsive/habitual behavioral choices and less activation in regions mediating reflective/executive behavioral choices.

Method: Thirty adolescents being treated for substance abuse completed a DD task optimized to balance choices of immediate versus delayed rewards, and a control condition accounted for activation during magnitude valuation. A group independent component analysis on functional magnetic resonance imaging time courses identified neural networks engaged during DD. Network activity was correlated with individual differences in discounting rate.

Results: Higher discounting rates were associated with diminished engagement of an executive attention control network involving the dorsolateral prefrontal cortex, dorsomedial prefrontal cortex, inferior parietal cortex, cingulate cortex, and precuneus. Higher discounting rates also were associated with less deactivation in a "bottom-up" reward valuation network involving the amygdala, hippocampus, insula, and ventromedial prefrontal cortex. These 2 networks were significantly negatively correlated.

Conclusions: Results support relations between competing executive and reward valuation neural networks and temporal decision making, an important, potentially modifiable risk factor relevant for the prevention and treatment of adolescent substance abuse. Clinical trial registration information-The Neuroeconomics of Behavioral Therapies for Adolescent Substance Abuse, http://clinicaltrials.gov/, NCT01093898.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3712894PMC
http://dx.doi.org/10.1016/j.jaac.2013.04.013DOI Listing

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