Evidence map›Paper›PMID 42268834›Full record

SynthesisAlcohol and alcoholism (Oxford, Oxfordshire)2026

Functional magnetic response imaging predictors of alcohol use disorder treatment outcome: a systematic review.

Mahmoud Elsayed, Ryan Siroosi, Peter Najdzionek, Carly McIntyre-Wood, Tegan Hargreaves, Ashley Blakely, Emily Mote, James MacKillop

Abstract readSystematic Review
In one paragraph

Synthesis in Alcohol and alcoholism (Oxford, Oxfordshire), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Mahmoud ElsayedPeter Boris Centre for Addictions Research, St. Joseph's Healthcare Hamilton, 100 West 5th Street, Hamilton, ON L9C 1G, Canada.ORCID 0000-0001-6246-5071
Ryan SiroosiPeter Boris Centre for Addictions Research, St. Joseph's Healthcare Hamilton, 100 West 5th Street, Hamilton, ON L9C 1G, Canada.
Peter NajdzionekPeter Boris Centre for Addictions Research, St. Joseph's Healthcare Hamilton, 100 West 5th Street, Hamilton, ON L9C 1G, Canada.ORCID 0000-0001-7982-523X
Carly McIntyre-WoodPeter Boris Centre for Addictions Research, St. Joseph's Healthcare Hamilton, 100 West 5th Street, Hamilton, ON L9C 1G, Canada.
Tegan HargreavesPeter Boris Centre for Addictions Research, St. Joseph's Healthcare Hamilton, 100 West 5th Street, Hamilton, ON L9C 1G, Canada.ORCID 0000-0003-4973-5377
Ashley BlakelyPeter Boris Centre for Addictions Research, St. Joseph's Healthcare Hamilton, 100 West 5th Street, Hamilton, ON L9C 1G, Canada.
Emily MotePeter Boris Centre for Addictions Research, St. Joseph's Healthcare Hamilton, 100 West 5th Street, Hamilton, ON L9C 1G, Canada.
James MacKillopPeter Boris Centre for Addictions Research, St. Joseph's Healthcare Hamilton, 100 West 5th Street, Hamilton, ON L9C 1G, Canada.ORCID 0000-0002-8695-1071

Funding

Canada Research Chair in Translational Addiction Research CRC-2020-00170Juravinski Research InstitutePeter Boris Chair in Addictions Research
6 · The paper itself

Abstract

backgroundDespite evidence-based pharmacological and behavioural interventions, alcohol use disorder (AUD) is associated with highly variable treatment outcomes. Functional magnetic resonance imaging (fMRI) may identify neural markers that predict treatment response, ultimately supporting a precision medicine approach to AUD.

objectivesThis systematic review synthesized evidence on fMRI predictors of treatment outcomes in individuals with AUD, evaluated methodological consistency, and identified gaps to guide biomarker development.

methodsA comprehensive search of PubMed/MEDLINE, Embase, and PsycINFO combined terms related to fMRI, AUD, and treatment outcomes. Eligible studies included participants with AUD receiving pharmacological, behavioural, or neuromodulatory interventions with fMRI measures collected before or early in treatment to predict clinical outcomes. Screening and extraction were conducted in duplicate using Covidence, and study quality was assessed with the Grading of Recommendations Assessment, Development, and Evaluation framework.

resultsOf 342 records, 15 studies met the inclusion criteria. Most used alcohol cue reactivity tasks (k = 11), with others using resting-state fMRI (k = 2), a monetary reward task (k = 1), or an alcohol-specific Go/No-Go task (k = 1). Pharmacological treatments were most common (k = 8), followed by behavioural therapies (k = 6) and one neuromodulation trial. Across paradigms, neural activity in the ventral striatum, orbitofrontal cortex, and anterior cingulate cortex commonly predicted outcomes. Greater prefrontal engagement predicted improvement, while heightened striatal cue reactivity predicted relapse. Resting-state findings suggested reduced reward- and stress-network connectivity corresponded with better outcomes. Across studies, however, considerable heterogeneity and inconsistency were present and sample sizes tended to be small.

conclusionsEvidence implicates frontostriatal and salience circuitry in predicting AUD treatment outcomes, but inconsistency and underpowered studies limit firm conclusions. Larger longitudinal studies are needed to robustly validate clinically useful biomarkers.

Indexed as

AlcoholismBrainMagnetic Resonance ImagingHumansTreatment Outcomealcohol use disorderbiomarkersfMRIprecision medicinetreatment outcome

Identifiers

PMID42268834
PMCPMC13253039

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.