Common and distinct drug cue reactivity patterns associated with cocaine and heroin: An fMRI meta-analysis

Author:

Dejoie Jordan M.1,Senia Nicole1,Konova Anna B.2,Smith David V.3,Fareri Dominic S.1

Affiliation:

1. Gordon F. Derner School of Psychology, Adelphi University, Garden City, NY, United States

2. Department of Psychiatry, Rutgers University, New Brunswick, NJ, United States

3. Department of Psychology and Neuroscience, Temple University, Philadelphia, PA, United States

Abstract

Abstract Substance use and substance use disorders represent ongoing major public health crises. Specifically, the use of substances such as cocaine and heroin are responsible for over 50,000 drug-related deaths combined annually. We used a comparative meta-analysis procedure to contrast activation patterns associated with cocaine and heroin cue reactivity, which may reflect substance use risk for these substances. PubMed and Google Scholar were searched for studies with within-subject whole brain analyses comparing drug to neutral cues for users of cocaine and heroin published between 1995 and 2022. A total of 18 studies were included, 9 in each subgroup. Voxel-based meta-analyses were performed using seed-based d mapping with permuted subject images (SDM-PSI) for subgroup mean analyses and a contrast meta-regression comparing the two substances. Results from our mean analysis indicated that users of heroin showed more widespread activation in the nucleus accumbens, right inferior and left middle temporal gyrus, right thalamus, and right cerebellum. Cocaine use was associated with recruitment of dorsolateral prefrontal cortex during cue reactivity. Direct comparison of cue reactivity studies in heroin relative to cocaine users revealed greater activation in dopaminergic targets for users of heroin compared to users of cocaine. Differential activation patterns between substances may underlie differences in the clinical characteristics observed in users of cocaine and heroin, including seeking emotional blunting in users of heroin. More consistent research methodology is needed to provide adequate studies for stringent meta-analyses examining common and distinct neural activation patterns across substances and moderation by clinically relevant factors.

Publisher

MIT Press

Reference111 articles.

1. Machine learning for neuroimaging with scikit-learn;Abraham;Fronteirs in Neuroinformatics,2014

2. Machine-learning identified substance-specific behavioral markers for opiate and stimulant dependence;Ahn;Drug Alcohol Dependence,2016

3. Meta-analysis of voxel-based neuroimaging studies using seed-based d mapping with permutation of subject images (SDM-PSI);Albajes-Eizagirre;Journal of Visualized Experiments,2019

4. Meta-analysis of non-statistically significant unreported effects;Albajes-Eizagirre;Statistical Methods in Medical Research,2019

5. Voxel-based meta-analysis via permutation of subject images (PSI): Theory and implementation for SDM;Albajes-Eizagirre;Neuroimage,2019

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3