AI Article Synopsis

  • Alcohol and cannabis are commonly used illegal substances among adolescents, leading to issues like alcohol use disorder (AUD) and cannabis use disorder (CUD), which negatively affect their decision-making abilities.
  • A study with 151 adolescents used fMRI during a Novelty Task to assess the relationship between AUD symptom severity, reward prediction error (RPE), and decision-making related to novel stimuli.
  • Findings indicate that higher AUD symptomatology is linked to poorer decision-making and altered brain responses in reward-related areas, with CUD symptomatology also influencing how novelty affects RPE, shedding light on the neuro-computational processes involved in adolescent decision-making and reinforcement learning.

Article Abstract

Two of the most commonly used illegal substances by adolescents are alcohol and cannabis. Alcohol use disorder (AUD) and cannabis use disorder (CUD) are associated with poorer decision-making in adolescents. In adolescents, level of AUD symptomatology has been negatively associated with striatal reward responsivity. However, little work has explored the relationship with striatal reward prediction error (RPE) representation and the extent to which any augmentation of RPE by novel stimuli is impacted. One-hundred fifty-one adolescents participated in the Novelty Task while undergoing functional magnetic resonance imaging (fMRI). In this task, participants learn to choose novel or non-novel stimuli to gain monetary reward. Level of AUD symptomatology was negatively associated with both optimal decision-making and BOLD response modulation by RPE within striatum and regions of prefrontal cortex. The neural alterations in RPE representation were particularly pronounced when participants were exploring novel stimuli. Level of CUD symptomatology moderated the relationship between novelty propensity and RPE representation within inferior parietal lobule and dorsomedial prefrontal cortex. These data expand on an emerging literature investigating individual associations of AUD symptomatology levels versus CUD symptomatology levels and RPE representation during reinforcement processing and provide insight on the role of neuro-computational processes underlying reinforcement learning/decision-making in adolescents.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8024914PMC
http://dx.doi.org/10.1016/j.dcn.2021.100944DOI Listing

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