Evidence map›Paper›PMID 39079224›Full record

ArticleDrug and alcohol dependence2024

Chronic cannabis use associated with subcortical topological reorganization of structural connectivity in adults.

R P Bell, J R Cohen, S L Towe, S Gadde, K Al-Khalil, A Costello, A W Song, C S Meade

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Drug and alcohol dependence, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

R P BellDepartment of Translational Neuroscience, Wake Forest University School of Medicine, Winston-Salem, NC, USA. Electronic address: rpbell@wakehealth.edu.
J R CohenDepartment of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
S L ToweDepartment of Translational Neuroscience, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
S GaddeBrain Imaging and Analysis Center, Duke University Medical Center, Campus, Box 3918, Durham, NC 27710, USA.
K Al-KhalilDuke University School of Medicine, Department of Psychiatry and Behavioral Sciences, Campus Box 102848, Durham, NC 27710, USA.
A CostelloDuke University School of Medicine, Department of Psychiatry and Behavioral Sciences, Campus Box 102848, Durham, NC 27710, USA.
A W SongBrain Imaging and Analysis Center, Duke University Medical Center, Campus, Box 3918, Durham, NC 27710, USA.
C S MeadeDepartment of Translational Neuroscience, Wake Forest University School of Medicine, Winston-Salem, NC, USA; Brain Imaging and Analysis Center, Duke University Medical Center, Campus, Box 3918, Durham, NC 27710, USA; Department of Psychology and Neuroscience, Duke University, Campus Box 90086, Durham, NC 27708, USA.

Funding

Role of cannabis on HIV-related cognitive impairment: a brain connectomics studyR01DA047149 · NIDA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI MEADE, CHRISTINA S · 2018 to 2023
$3.1M
NIDA NIH HHS R01 DA047149
6 · The paper itself

Abstract

backgroundCannabis is commonly used in the United States. However, chronic cannabis use has been linked to alterations in white matter (WM) integrity. Studies investigating WM in people who use cannabis (PWC) have produced varying results, which may be due to a variety of factors, including a focus on individual WM tracts. Here, we examined WM connectivity using a module-based approach to help clarify whether cannabis use is associated with differences in WM organization.

methodsConnectomics is used to map complex networks of inter and intra-connected cortical and subcortical regions. A key concept of brain organization is the presence of groups of densely interconnected regions, referred to as modules. Here, we used WM structural connectivity estimates to compare connectome organization between adults who used cannabis regularly (n=53), and adults who did not use cannabis (n=60). We quantified aspects of network organization both across the whole brain and within specific modules.

resultsThere were no significant results between groups after correcting for multiple comparisons for whole-brain metrics. When considering group differences in network organization metrics for 10 identified modules, we observed that adult PWC showed higher within-module degree, local efficiency, and network strength in a right subcortical module relative to adults that did not use cannabis.

conclusionsThese results suggest that cannabis use in adults is associated with alterations of subcortical WM network organization. The observed differences in WM organization may be due to the involvement of the endocannabinoid system in the alteration of WM growth processes.

Indexed as

BrainConnectomeWhite MatterAdultFemaleHumansMagnetic Resonance ImagingMaleMarijuana UseNerve NetYoung AdultCannabisDiffusion imagingGraph theoryModulesTractography

Identifiers

PMID39079224
PMCPMC11683732

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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.