Evidence map›Paper›PMID 32857473›Full record

ArticleHuman brain mapping2022

Common and gender-specific associations with cocaine use on gray matter volume: Data from the ENIGMA addiction working group.

Rachel A Rabin, Scott Mackey, Muhammad A Parvaz, Janna Cousijn, Chiang-Shan Li, Godfrey Pearlson, Lianne Schmaal, Rajita Sinha, Elliot Stein, Dick Veltman and 5 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Human brain mapping, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.1field-weighted citation impact, top 12% of its field
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

11 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Neuroimaging Biomarkers in Addiction.medRxiv : the preprint server for health sciences · 2024
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. 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

15 authors at 9 institutions in 4 countries.

Rachel A RabinDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York, USA.ORCID 0000-0002-6530-0288
Scott MackeyDepartments of Psychiatry and Psychology, University of Vermont, Burlington, Vermont, USA.
Muhammad A ParvazDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Janna CousijnDepartment of Psychology, University of Amsterdam, Amsterdam, The Netherlands.
Chiang-Shan LiDepartment of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, USA.ORCID 0000-0002-9393-1212
Godfrey PearlsonDepartment of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, USA.
Lianne SchmaalOrygen, The National Centre of Excellence in Youth Mental Health, Parkville, Australia and Centre for Youth Mental Health, The University of Melbourne, Melbourne, Australia.
Rajita SinhaDepartment of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, USA.
Elliot SteinIntramural Research Program-Neuroimaging Research Branch, National Institute on Drug Abuse, Baltimore, Maryland, USA.
Dick VeltmanDepartment of Psychiatry, VU University Medical Center, Amsterdam, The Netherlands.
Paul M ThompsonImaging Genetics Center, Department of Neurology Keck School of Medicine, University of Southern California, Marina del Rey, California, USA.
Patricia ConrodDepartment of Psychiatry, Université de Montreal, CHU Ste Justine Hospital, Montreal, Quebec, Canada.
Hugh GaravanDepartments of Psychiatry and Psychology, University of Vermont, Burlington, Vermont, USA.
Nelly Alia-KleinDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Rita Z GoldsteinDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Icahn School of Medicine at Mount Sinai · USYale University · USUniversity of Vermont · USAmsterdam UMC Location Vrije Universiteit Amsterdam · NLNational Institute on Drug Abuse · USThe University of Melbourne · AUUniversité de Montréal · CAUniversity of Amsterdam · NLUniversity of Southern California · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Brain Imaging of Human Drug AbuseZIADA000470 · NIDA · NATIONAL INSTITUTE ON DRUG ABUSE · PI STEIN, ELLIOT A · 2009 to 2021
$15.8M
Sex Differences in Stress Related RelapseP50DA016556 · NIDA · YALE UNIVERSITY · PI SINHA, RAJITA · 2002 to 2011
$10.4M
Chronic Alcohol and Brain Stress Circuit ResponseR01AA013892 · NIAAA · YALE UNIVERSITY · PI Rajita Sinha · 2003 to 2026
$10.1M
Training U54EB020403 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI THOMPSON, PAUL M · 2014 to 2018
$10.1M
ENIGMA- Addiction: Pooling of Existing Datasets to Identify Brain and Genetic Correlates of Addiction, Next StepsR01DA047119 · NIDA · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI HUGH P. GARAVAN · 2018 to 2026
$5.4M
TRAINING IN PHARMACOLOGY OF DRUGS OF ABUSET32DA007135 · NIDA · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI DEVI, LAKSHMI A · 1985 to 2018
$4.9M
Cognitive control and cocaine dependence: thalamic noradrenergic processesR01DA023248 · NIDA · YALE UNIVERSITY · PI LI, CHIANG-SHAN RAY · 2008 to 2018
$4.0M
Atherosclerosis in cocaine addiction: imaging risk with PET/MRR01DA049547 · NIDA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Nelly Alia-Klein, Zahi A. Fayad · 2022 to 2026
$3.9M
Sex differences in the neural correlates underlying impairments in response inhibition and salience attribution in cocaine addictionR01DA048301 · NIDA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI GOLDSTEIN, RITA Z · 2020 to 2024
$3.4M
Using event-related potentials to longitudinally track cue-induced craving incubation in cocaine addicted individualsR01DA041528 · NIDA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI GOLDSTEIN, RITA Z · 2016 to 2020
$3.3M
Diagnostic and prognostic biomarkers for subtypes of addiction-related circuit dysfunctionR01DA047851 · NIDA · WEILL MEDICAL COLL OF CORNELL UNIV · PI GOLDSTEIN, RITA Z, LISTON, CONOR M · 2019 to 2022
$2.4M
NCATS NIH HHS UL1 TR001863NIAAA NIH HHS R01 AA013892NIBIB NIH HHS U54 EB020403NIDA NIH HHS 1R01DA047119-01NIDA NIH HHS 1R01DA04830-01A1NIDA NIH HHS 1R21DA038381NIDA NIH HHS K01 DA043615NIDA NIH HHS P50 DA016556NIDA NIH HHS R01 DA023248NIDA NIH HHS R01 DA041528NIDA NIH HHS R01 DA047119NIDA NIH HHS R01 DA047851NIDA NIH HHS R01 DA048301NIDA NIH HHS R01 DA049547NIDA NIH HHS R21 DA038381NIDA NIH HHS R21 DA044749NIDA NIH HHS T32 DA007135NIH HHS K01DA043615NIH HHS P50-DA016556NIH HHS R01-AA013892NIH HHS R01DA023248NIH HHS R01DA041528NIH HHS R01DA047851NIH HHS R01MH117601NIH HHS R21DA044749NIH HHS U54 EB 020403NIH HHS Ul1-DE024859NIMH NIH HHS R01 MH117601
6 · The paper itself

Abstract

Gray matter volume (GMV) in frontal cortical and limbic regions is susceptible to cocaine-associated reductions in cocaine-dependent individuals (CD) and is negatively associated with duration of cocaine use. Gender differences in CD individuals have been reported clinically and in the context of neural responses to cue-induced craving and stress reactivity. The variability of GMV in select brain areas between men and women (e.g., limbic regions) underscores the importance of exploring interaction effects between gender and cocaine dependence on brain structure. Therefore, voxel-based morphometry data derived from the ENIGMA Addiction Consortium were used to investigate potential gender differences in GMV in CD individuals compared to matched controls (CTL). T1-weighted MRI scans and clinical data were pooled from seven sites yielding 420 gender- and age-matched participants: CD men (CDM, n = 140); CD women (CDW, n = 70); control men (CTLM, n = 140); and control women (CTLW, n = 70). Differences in GMV were assessed using a 2 × 2 ANCOVA, and voxelwise whole-brain linear regressions were conducted to explore relationships between GMV and duration of cocaine use. All analyses were corrected for age, total intracranial volume, and site. Diagnostic differences were predominantly found in frontal regions (CD < CTL). Interestingly, gender × diagnosis interactions in the left anterior insula and left lingual gyrus were also documented, driven by differences in women (CDW < CTLW). Further, lower right hippocampal GMV was associated with greater cocaine duration in CDM. Given the importance of the anterior insula to interoception and the hippocampus to learning contextual associations, results may point to gender-specific mechanisms in cocaine addiction.

Indexed as

Cerebral CortexCocaine-Related DisordersGray MatterMagnetic Resonance ImagingNeuroimagingSex CharacteristicsAdultFemaleHumansMaleMiddle Agedaddictioncocainegender differencesgray matter volumehippocampusinsulalingual gyrus

Identifiers

PMID32857473
PMCPMC8675419
OpenAlexW3081741204

What OpenQuestion 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 OpenQuestion graph.