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Attentional Biases and Their Association with Substance-Use-Related Problems and Addictive Behaviors: The Utility of a Gamified Value-Modulated Attentional Capture Task. | LitMetric

AI Article Synopsis

  • The study explores a gamified version of the VMAC task to assess attentional biases towards rewards and their connection to substance use issues and addictive behaviors.
  • Participants (285 individuals, including heavy alcohol users) completed the task alongside measures of substance use, cognitive control, and executive function problems.
  • While the gamified VMAC task effectively identified attentional capture toward high-reward stimuli, no significant links were found between VMAC scores and substance use problems; however, self-reported cognitive difficulties correlated with increased issues related to alcohol and cannabis use.

Article Abstract

Background: Attentional biases towards reward stimuli have been implicated in substance use-related problems. The value-modulated attentional capture (VMAC) task assesses such reward-related biases. The VMAC task widely used in lab studies tends to be monotonous and susceptible to low effort. We therefore tested a gamified online version of the VMAC that aimed to increase participant engagement. Our goal was to examine how VMAC is associated with substance use-related problems and addictive behaviors, and whether this association is moderated by cognitive control.

Methods: We recruited 285 participants from an online community, including heavy alcohol users. All participants completed a novel gamified version of the VMAC task, measures of substance use and addictive behaviors (addictive-like eating behavior, problematic smartphone use), the WebExec measure of problems with executive functions, and the Stroop Adaptive Deadline Task (SDL) as a measure of cognitive control.

Results: The gamified VMAC task successfully identified value-modulated attentional capture effects towards high-reward stimuli. We found no significant associations between VMAC scores, problematic alcohol or cannabis use, addictive behaviors, or any moderation by a behavioral measure of cognitive control. Exploratory analyses revealed that self-reported cognitive problems were associated with more alcohol-, and cannabis-related problems, and addictive behaviors. Greater attentional capture (VMAC) was associated with more cannabis use-related problems among individuals with higher levels of self-reported cognitive problems.

Conclusions: Our study is one of the first to demonstrate the utility of the gamified version of the VMAC task in capturing attentional reward biases. Self-reported problems with cognitive functions represent a key dimension associated with substance use-related problems and addictive behaviors.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10885317PMC
http://dx.doi.org/10.1016/j.abrep.2024.100534DOI Listing

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