Evidence map›Paper›PMID 39197360›Full record

ArticleDrug and alcohol dependence2024

Hub disruption in HIV disease and cocaine use: A connectomics analysis of brain function.

Kareem Al-Khalil, Ryan P Bell, Sheri L Towe, Jessica R Cohen, Syam Gadde, James Mu, Shana A Hall, Christina S Meade

Abstract read
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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Kareem Al-KhalilDuke University School of Medicine, Department of Psychiatry and Behavioral Sciences, 2400 Pratt Street, Durham, NC 27705, USA. Electronic address: kalkhal@gmail.com.
Ryan P BellDuke University School of Medicine, Department of Psychiatry and Behavioral Sciences, 2400 Pratt Street, Durham, NC 27705, USA; Wake Forest University, School of Medicine, 475 Vine Street, Winston-Salem, NC 27101, USA. Electronic address: rpbell@wakehealth.edu.
Sheri L ToweDuke University School of Medicine, Department of Psychiatry and Behavioral Sciences, 2400 Pratt Street, Durham, NC 27705, USA; Wake Forest University, School of Medicine, 475 Vine Street, Winston-Salem, NC 27101, USA. Electronic address: stowe@wakehealth.edu.
Jessica R CohenUniversity of North Carolina at Chapel Hill, Department of Psychology and Neuroscience, 100 E. Franklin Street Suite 200, Chapel Hill, NC 27599, USA. Electronic address: jrcohen@unc.edu.
Syam GaddeDuke University Medical Center, Brain Imaging Analysis Center, 40 Duke Medicine Cir #414, Durham, NC 27710, USA. Electronic address: syam.gadde@duke.edu.
James MuDuke University School of Medicine, Department of Psychiatry and Behavioral Sciences, 2400 Pratt Street, Durham, NC 27705, USA. Electronic address: james.mu@duke.edu.
Shana A HallDuke University School of Medicine, Department of Psychiatry and Behavioral Sciences, 2400 Pratt Street, Durham, NC 27705, USA. Electronic address: shana@limbix.com.
Christina S MeadeDuke University School of Medicine, Department of Psychiatry and Behavioral Sciences, 2400 Pratt Street, Durham, NC 27705, USA; Duke University Medical Center, Brain Imaging Analysis Center, 40 Duke Medicine Cir #414, Durham, NC 27710, USA; Wake Forest University, School of Medicine, 475 Vine Street, Winston-Salem, NC 27101, USA. Electronic address: cmeade@wakehealth.edu.

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
MRI data fusion to investigate effects of drug abuse on HIV neurological complicationsR01DA045565 · NIDA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI MEADE, CHRISTINA S · 2018 to 2022
$2.0M
NIDA NIH HHS R01 DA045565NIDA NIH HHS R01 DA047149
6 · The paper itself

Abstract

backgroundCocaine use (CU) is prevalent in people with HIV (PWH). Both conditions are linked to changes in cognitive functioning and neural network topology. The current study utilizes graph theory to investigate functional connectomics associated with HIV and CU, focusing on disruption of densely connected nodes called hubs.

methodsResting state functional magnetic resonance imaging (fMRI) from 206 adults (ages 22-55 years) were analyzed. A HIV x CU factorial design was implemented with participants in four groups: HIV+CU (n= 41), HIV only (n= 88), CU only (n= 36), and controls (n= 41). Functional connectomes were constructed, and thresholded graph metrics were calculated. Network centrality metrics - betweenness centrality (BC), participation coefficient (PC), and within module degree (WD) - were quantified into hub disruption indices (HDI). For each index, a 2×2 ANCOVA was performed controlling for education.

resultsParticipants were 68 % male and 74 % African-American with a mean age of 44.4 years. HIV and CU were associated with hub disruption in all three indices. Interactions were significant for HDI-PC and HDI-WD, such that HIV disease was associated with greater hub disruption among participants without CU, but not among participants with CU. Overall, lower global cognitive functioning was associated with greater hub disruption on all three indices.

conclusionsWidespread hub disruption was evident in HIV disease and CU, highlighting topological reorganization in both diseases with neurocognitive effects. Hub-related measures inform functional connectivity disruptions in HIV disease and CU, particularly with respect to changes in network topology throughout the connectome.

Indexed as

BrainCocaine-Related DisordersConnectomeHIV InfectionsMagnetic Resonance ImagingAdultFemaleHumansMaleMiddle AgedNerve NetYoung AdultCentralityCocaine useConnectomicsHIV diseaseHub disruption index

Identifiers

PMID39197360
PMCPMC11620762

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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.