JOURNAL ARTICLE

Brain structural magnetic resonance imaging predictors of brief intervention response in individuals with alcohol use disorder.

  • Published In: Alcohol & Alcoholism, 2025, v. 60, n. 3. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Hargreaves, Tegan L; McIntyre-Wood, Carly; Vandehei, Emily; Love, Danielle; Garber, Molly; Levitt, Emily E; Syan, Sabrina K; MacKillop, Emily; Amlung, Michael; Sweet, Lawrence H; MacKillop, James 3 of 3

Abstract

This study investigated whether cortical surface area and thickness measured by magnetic resonance imaging (MRI) predict response to a brief intervention in community-based adults with alcohol use disorder (AUD). Sixty-five non-treatment-seeking adults with AUD underwent MRI and received a brief intervention involving personalized feedback and motivational interviewing, with follow-up 6–8 weeks later to assess changes in alcohol consumption. Results showed that thinner cortical thickness in eight bilateral regions—primarily in the frontal, temporal, and occipital lobes, including the medial orbitofrontal, rostral middle frontal, and middle temporal gyri—predicted poorer reductions in drinks per week and drinking frequency. These cortical thickness measures were also associated with impulsivity, executive function, anxiety, and stress, suggesting potential neurobiological markers of intervention response. The findings highlight the relevance of frontal and temporal brain regions in AUD treatment outcomes and underscore the need for further research to clarify whether these structural differences are premorbid or consequences of alcohol use.

Additional Information

  • Source:Alcohol & Alcoholism. 2025/05, Vol. 60, Issue 3, p1
  • Document Type:Article
  • Subject Area:Health and Medicine
  • Publication Date:2025
  • ISSN:0735-0414
  • DOI:10.1093/alcalc/agaf009
  • Accession Number:185488925
  • Copyright Statement:Copyright of Alcohol & Alcoholism is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.