Poster B45, Sunday, March 26, 8:00 – 10:00 am, Pacific Concourse
Model-based differentiation of networks of reward and impulsivity in cannabis use disorders
Ariel Ketcherside1, Joseph Dunlop2, Francesca Filbey1; 11School of Behavior and Brain Sciences, University of Texas at Dallas, 2SAS, Cary, NC
Substance use disorders are characterized by impairments in cognitive control as well as enhanced reward salience of drug-related cues. However, the degree of overlap between the neural networks underlying these constructs remains unknown. To that end, we examined the influence of impulsive and cue reactive neural and behavioral factors in chronic cannabis users to determine if they represent a joint and uniform feature of cannabis abuse and severity or differing etiologies or subtypes of chronic users. In order to determine independent contributions of impulse-driven cannabis use and incentive reward-driven cannabis use, we modeled behavioral data on self-report assessments of reward and impulsivity. We then tested this model on functional connectivity data collected during control (via Stop Signal Task) and reward (via cue-elicited craving task) conditions in 62 (74% male) chronic cannabis users. The results showed that the factor structure of behavior measures of impulsivity and reward seeking behavior predicts differential functional connectivity patterns during separate tasks of reward and control. These findings demonstrate independent contributions of impulsivity and reward processes in cannabis users, which should be considered in the prognosis and treatment of cannabis use disorders.
Topic Area: EXECUTIVE PROCESSES: Monitoring & inhibitory control