Evidence map›Paper›PMID 39129375›Full record

ArticleAlcohol and alcoholism (Oxford, Oxfordshire)2024

Triple network resting-state functional connectivity patterns of alcohol heavy drinking.

Mahmoud Elsayed, Emma Marsden, Tegan Hargreaves, Sabrina K Syan, James MacKillop, Michael Amlung

Abstract read
In one paragraph

Article in Alcohol and alcoholism (Oxford, Oxfordshire), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Prediction of alcohol intake patterns with olfactory and gustatory brain connectivity networks.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2025
    Article
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

6 authors.

Mahmoud ElsayedPeter Boris Centre for Addictions Research, St. Joseph's Healthcare Hamilton and McMaster University, 100 West 5th Street, Hamilton, ON L9C 0E3Canada.
Emma MarsdenPeter Boris Centre for Addictions Research, St. Joseph's Healthcare Hamilton and McMaster University, 100 West 5th Street, Hamilton, ON L9C 0E3Canada.
Tegan HargreavesPeter Boris Centre for Addictions Research, St. Joseph's Healthcare Hamilton and McMaster University, 100 West 5th Street, Hamilton, ON L9C 0E3 Canada.
Sabrina K SyanPeter Boris Centre for Addictions Research, St. Joseph's Healthcare Hamilton and McMaster University, 100 West 5th Street, Hamilton, ON L9C 0E3Canada.
James MacKillopPeter Boris Centre for Addictions Research, St. Joseph's Healthcare Hamilton and McMaster University, 100 West 5th Street, Hamilton, ON L9C 0E3Canada.ORCID 0000-0002-8695-1071
Michael AmlungCofrin Logan Center for Addiction Research and Treatment, University of Kansas, 1000 Sunnyside Ave, Suite 4001, Lawrence, KS 66045USA.

Funding

Using Neuroeconomics to Characterize State-Based Increases and Decreases in Alcohol ValueR01AA027255 · NIAAA · UNIVERSITY OF KANSAS LAWRENCE · PI AMLUNG, MICHAEL T. · 2019 to 2023
$1.2M
Cofrin Logan Center for Addiction Research and TreatmentNIAAA NIH HHS R01 AA027255NIAAA NIH HHS R01AA027255Peter Boris Centre for Addictions ResearchPeter Boris Chair in Addiction ResearchTier 1 Canada Research Chair in Translational Addiction Research
6 · The paper itself

Abstract

aimsPrevious neuroimaging research in alcohol use disorder (AUD) has found altered functional connectivity in the brain's salience, default mode, and central executive (CEN) networks (i.e. the triple network model), though their specific associations with AUD severity and heavy drinking remains unclear. This study utilized resting-state fMRI to examine functional connectivity in these networks and measures of alcohol misuse.

methodsSeventy-six adult heavy drinkers completed a 7-min resting-state functional MRI scan during visual fixation. Linear regression models tested if connectivity in the three target networks was associated with past 12-month AUD symptoms and number of heavy drinking days in the past 30 days. Exploratory analyses examined correlations between connectivity clusters and impulsivity and psychopathology measures.

resultsFunctional connectivity within the CEN network (right and left lateral prefrontal cortex [LPFC] seeds co-activating with 13 and 15 clusters, respectively) was significantly associated with AUD symptoms (right LPFC: β = .337, p-FDR = .016; left LPFC: β = .291, p-FDR = .028) but not heavy drinking (p-FDR > .749). Post-hoc tests revealed six clusters co-activating with the CEN network were associated with AUD symptoms-right middle frontal gyrus, right inferior parietal gyrus, left middle temporal gyrus, and left and right cerebellum. Neither the default mode nor the salience network was significantly associated with alcohol variables. Connectivity in the left LPFC was correlated with monetary delay discounting (r = .25, p = .03).

conclusionsThese findings support previous associations between connectivity within the CEN network and AUD severity, providing additional specificity to the relevance of the triple network model to AUD.

Indexed as

AlcoholismMagnetic Resonance ImagingAdultAlcohol DrinkingBrainDefault Mode NetworkFemaleHumansImpulsive BehaviorMaleMiddle AgedNerve NetPrefrontal CortexRestYoung Adultalcoholalcohol use disorderfMRIimpulsivitypsychopathologyresting state functional connectivity

Identifiers

PMID39129375
PMCPMC11317527

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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 OpenQuestion graph.