Alterations in functional brain networks associated with loss-chasing in gambling disorder and cocaine-use disorder. (1st September 2017)

• Record Type: Journal Article
• Authors: Worhunsky, Patrick D.; Potenza, Marc N.; Rogers, Robert D.
• Is Part Of: Drug and alcohol dependence. Volume 178(2017)
• Page Start: 363
• Page End: 371
• Publication Date: 2017-09-01
• Subjects: Addiction -- Cocaine-use disorder -- fMRI -- Gambling disorder -- ICA -- Loss-chasing; Drug abuse -- Periodicals; Alcoholism -- Periodicals; 616.86
• DOI: 10.1016/j.drugalcdep.2017.05.025
• Languages: English
• ISSNs: 0376-8716

Abstract

Highlights: Little is known regarding the neural correlates of loss-chasing behavior. Functional networks and patterns of engagement during loss-chasing were examined. Findings include shared and distinct mechanisms in substance-use and behavioral addictions. Abstract: Background: Continued, persistent gambling to recover accumulating losses, or 'loss-chasing', is a behavioral pattern linked particularly closely to gambling disorder (GD) but may reflect impaired decision-making processes relevant to drug addictions like cocaine-use disorder (CUD). However, little is known regarding the neurocognitive mechanisms of this complex, maladaptive behavior, particularly in individuals with addictive disorders. Methods: Seventy participants (25 GD, 18 CUD, and 27 healthy comparison (HC)) completed a loss-chase task during fMRI. Engagement of functional brain networks in response to losing outcomes and during decision-making periods preceding choices to loss-chase or to quit chasing losses were investigated using independent component analysis (ICA). An exploratory factor analysis was performed to examine patterns of coordinated engagement across identified networks. Results: In GD relative to HC and CUD participants, choices to quit chasing were associated with greater engagement of a medial frontal executive-processing network. By comparison, CUD participants exhibited altered engagement of a striato-amygdala motivational network in response to losing outcomes as compared to HC, and during decision-making as compared to GD. Several other networks were differentially engaged during loss-chase relative to quit-chasing choices, but did not differ across participant groups. Exploratory factor analysis identified a system of coordinated activity across prefrontal executive-control networks that was greater in GD and CUD relative to HC participants and was associated with increased chasing persistence across all participants. Conclusions: Results provide evidence of shared and distinct neurobiological mechanisms in substance and behavioral addictions, and lend insight into potential cognitive interventions targeting loss-chasing behavior in GD.