Neurocognitive predictors of addiction-related outcomes: A systematic review of longitudinal studies.

Neurosci Biobehav Rev

BrainPark, Turner Institute for Brain and Mental Health and School of Psychological Sciences, Monash University, Clayton, VIC, Australia; Melbourne School of Psychological Sciences, University of Melbourne, Parkville, VIC, Australia.

Published: September 2023

AI Article Synopsis

  • Addiction is linked to impaired executive control and abnormal risk-reward processing in brain function, but there's limited quantitative evidence on how these neurocognitive aspects predict addictive behaviors.
  • This systematic review aimed to explore the relationship between cognitive control, risk-reward processes, and addiction outcomes like consumption, severity, and relapse.
  • While overall evidence for neurocognition predicting addiction was lacking, it suggests that reward-related processes may help identify those at early risk for addiction and could guide new interventions.

Article Abstract

It is well-established that addiction is typically associated with a distinct pattern of neurocognitive functioning with a consensus that it is typified by impaired top-down executive control and aberrant risk-reward processing. Despite a consensus that neurocognition plays an important role in characterizing and maintaining addictive disorders, there is a lack of systematic, bottom-up synthesis of quantitative evidence showing that neurocognition predicts addictive behaviors, and which neurocognitive constructs have the best predictive validity. This systematic review aimed to assess whether cognitive control and risk-reward processes as defined by the Research Domain Criteria (RDoC) predict the development and maintenance of addictive behaviors specifically, consumption, severity, and relapse. The findings from this review expose the substantial lack of evidence for neurocognition predicting addiction outcomes. However, there is evidence that suggests reward-related neurocognitive processes may be important for the detection of early risk for addiction, as well as a potentially viable target for designing novel, more effective interventions.

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Source
http://dx.doi.org/10.1016/j.neubiorev.2023.105295DOI Listing

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