Evidence map›Paper›PMID 39389949›Full record

ArticleTranslational psychiatry2024

White matter alterations associated with chronic cannabis use disorder: a structural network and fixel-based analysis.

Suzan Maleki, Joshua Hendrikse, Karyn Richardson, Rebecca A Segrave, Sam Hughes, Edouard Kayayan, Stuart Oldham, Warda Syeda, James P Coxon, Karen Caeyenberghs and 5 more

Abstract read
In one paragraph

Article in Translational psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Genetic pleiotropy differentially linking brain variation to cannabis use and cannabis use disorder.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Review
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

15 authors.

Suzan MalekiBrainPark, Turner Institute for Brain and Mental Health, School of Psychological Sciences and Monash Biomedical Imaging Facility, Monash University, Clayton, VIC, Australia.
Joshua HendrikseMovement and Exercise Neuroscience Laboratory, School of Psychological Sciences and Monash Biomedical Imaging Facility, Monash University, Clayton, VIC, Australia.
Karyn RichardsonBrainPark, Turner Institute for Brain and Mental Health, School of Psychological Sciences and Monash Biomedical Imaging Facility, Monash University, Clayton, VIC, Australia.
Rebecca A SegraveBrainPark, Turner Institute for Brain and Mental Health, School of Psychological Sciences and Monash Biomedical Imaging Facility, Monash University, Clayton, VIC, Australia.
Sam HughesBrainPark, Turner Institute for Brain and Mental Health, School of Psychological Sciences and Monash Biomedical Imaging Facility, Monash University, Clayton, VIC, Australia.
Edouard KayayanBrainPark, Turner Institute for Brain and Mental Health, School of Psychological Sciences and Monash Biomedical Imaging Facility, Monash University, Clayton, VIC, Australia.
Stuart OldhamDevelopmental Imaging, Murdoch Children's Research Institute, Melbourne, VIC, Australia.
Warda SyedaMelbourne Brain Centre Imaging Unit, Department of Radiology, The University of Melbourne, Parkville, VIC, Australia.ORCID 0000-0001-6294-622X
James P CoxonMovement and Exercise Neuroscience Laboratory, School of Psychological Sciences and Monash Biomedical Imaging Facility, Monash University, Clayton, VIC, Australia.ORCID 0000-0003-2351-8489
Karen CaeyenberghsCognitive Neuroscience Unit, School of Psychology, Deakin University, Burwood, VIC, Australia.
Juan F Domínguez DCognitive Neuroscience Unit, School of Psychology, Deakin University, Burwood, VIC, Australia.
Nadia SolowijSchool of Psychology, University of Wollongong, Wollongong, NSW, Australia.ORCID 0000-0002-5222-5637
Dan I LubmanTurning Point, Eastern Health, Melbourne, VIC, Australia.
Chao SuoBrainPark, Turner Institute for Brain and Mental Health, School of Psychological Sciences and Monash Biomedical Imaging Facility, Monash University, Clayton, VIC, Australia. chao.suo@monash.edu.ORCID 0000-0002-9358-6690
Murat YücelBrainPark, Turner Institute for Brain and Mental Health, School of Psychological Sciences and Monash Biomedical Imaging Facility, Monash University, Clayton, VIC, Australia. murat.yucel@qimrb.edu.au.

Funding

Department of Health | National Health and Medical Research Council (NHMRC) APP1139978
6 · The paper itself

Abstract

Cannabis use disorder (CUD) is associated with adverse mental health effects, as well as social and cognitive impairment. Given prevalence rates of CUD are increasing, there is considerable efforts, and need, to identify prognostic markers which may aid in minimising any harm associated with this condition. Previous neuroimaging studies have revealed changes in white matter (WM) organization in people with CUD, though, the findings are mixed. In this study, we applied MRI-based analysis techniques that offer complimentary mechanistic insights, i.e., a connectome approach and fixel-based analysis (FBA) to investigate properties of individual WM fibre populations and their microstructure across the entire brain, providing a highly sensitive approach to detect subtle changes and overcome limitations of previous diffusion models. We compared 56 individuals with CUD (median age 25 years) to a sample of 38 healthy individuals (median age 31.5 years). Compared to controls, those with CUD had significantly increased structural connectivity strength (FDR corrected) across 9 edges between the right parietal cortex and several cortical and subcortical regions, including left orbitofrontal, left temporal pole, and left hippocampus and putamen. Utilizing FBA, WM density was significantly higher in those with CUD (FWE-corrected) across the splenium of the corpus callosum, and lower in the bilateral cingulum and right cerebellum. We observed significant correlation between cannabis use over the past month and connectivity strength of the frontoparietal edge, and between age of regular use and WM density of the bilateral cingulum and right cerebellum. Our findings enhance the understanding of WM architecture alterations associated with CUD.

Indexed as

ConnectomeMagnetic Resonance ImagingMarijuana AbuseWhite MatterAdultBrainCase-Control StudiesFemaleHumansMaleYoung Adult

Identifiers

PMID39389949
PMCPMC11467328

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Registered trials

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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.