Evidence map›Paper›PMID 32717665›Full record

ArticlePsychiatry research. Neuroimaging2020

Gray matter alteration in heroin-dependent men: An atlas-based magnetic resonance imaging study.

Hong Shi, Zifei Liang, Jiajie Chen, Wei Li, Jia Zhu, Yongbin Li, Jianjun Ye, Jiangyang Zhang, Jiuhua Xue, Wei Liu and 4 more

Open access · greenAbstract read
In one paragraph

Article in Psychiatry research. Neuroimaging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 41% 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

3 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. The neurobiology of drug addiction: cross-species insights into the dysfunction and recovery of the prefrontal cortex.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2022
    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

14 authors at 5 institutions in 2 countries.

Hong ShiDepartment of Radiology, Tangdu Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China.
Zifei LiangDepartment of Radiology, New York University, New York, NY, USA; Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA; College of Electronic and Information Engineering, Sichuan University, Chengdu, 610065, China.
Jiajie ChenDepartment of Radiology, Tangdu Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China.
Wei LiDepartment of Radiology, Tangdu Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China.
Jia ZhuDepartment of Radiology, Tangdu Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China.
Yongbin LiDepartment of Radiology, Tangdu Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China.
Jianjun YeDepartment of Radiology, Tangdu Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China.
Jiangyang ZhangDepartment of Radiology, New York University, New York, NY, USA; Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Jiuhua XueDepartment of Radiology, Tangdu Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China.
Wei LiuDepartment of Radiology, Tangdu Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China.
Fan WangDepartment of Radiology, Tangdu Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China.
Wei WangDepartment of Radiology, Tangdu Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China.
Qiang LiDepartment of Radiology, Tangdu Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China; Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA. Electronic address: tdqiangqiang@foxmail.com.
Xiaohai HeCollege of Electronic and Information Engineering, Sichuan University, Chengdu, 610065, China. Electronic address: hxh@scu.edu.cn.
Air Force Medical University · CNChengdu University of Information Technology · CNJohns Hopkins Medicine · USJohns Hopkins University · USSichuan University · CN

Funding

TR&D 4: Revealing Microstructure: Biophysical modeling and validation for discovery and clinical careP41EB017183 · NIBIB · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Daniel K Sodickson · 2014 to 2026
$19.3M
NIBIB NIH HHS P41 EB017183
6 · The paper itself

Abstract

Previous imaging studies on heroin addiction have reported brain morphological alterations. However, the effects of heroin exposure on gray matter volume varied among different studies due to different factors such as substitution treatment or mandatory abstinence. Meanwhile, the relationship between gray matter and heroin use history remains unknown. Thirty-three male heroin-dependent (HD) individuals who are not under any substitution treatment or mandatory abstinence and 40 male healthy controls (HC) were included in this structural magnetic resonance imaging study. With an atlas-based approach, gray matter structures up to individual functional area were delineated, and the differences in their volumes between the HD and HC groups were analyzed. In addition, the relationship between gray matter volume and duration of heroin use was explored. The HD group demonstrated significantly lower cortical volume mainly in the prefrontal cortex and mesolimbic dopaminergic regions across different parcellation levels, whereas several visual and somatosensory cortical regions in the HD group had greater volume relative to the HC group at a more detailed parcellation level. The duration of heroin use was negatively correlated with the gray matter volume of prefrontal cortex. These findings suggest that heroin addiction be related to gray matter alteration and might be related to damage/maladaption of the inhibitory control, reward, visual, and somatosensory functions of the brain, although cognitive correlates are warranted in future study. In addition, the atlas-based morphology analysis is a potential tool to help researchers search biomarkers of heroin addiction.

Indexed as

BrainGray MatterHeroinHeroin DependenceHumansMagnetic Resonance ImagingMalePrefrontal CortexHeroinGray matterHeroin addictionLarge deformation diffeomorphic metric mappingMagnetic resonance imaging

Identifiers

PMID32717665
PMCPMC8170872
OpenAlexW3044967556

What OpenQuestion holds

Textmetadata
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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.