ENIGMA- Addiction: Pooling of Existing Datasets to Identify Brain and Genetic Correlates of Addiction

ENIGMA-成瘾：汇集现有数据集以识别成瘾的大脑和遗传相关性

• 批准号: 10609614
• 负责人: Patricia Conrod
• 金额: $ 5.72万
• 依托单位: UNIVERSITY OF VERMONT & ST AGRIC COLLEGE
• 依托单位国家: 美国
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-09-15 至 2023-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10609614
• 关键词: Address; Anatomy; Brain; Consensus; Country; Cues; Data; Data Pooling; Data Set; Functional Magnetic Resonance Imaging; Genetic; Heterogeneity; Individual; Institution; Maps; Meta-Analysis; Methodology; Output; Participant; Pharmaceutical Preparations; Principal Investigator; Procedures; Process; Publishing; Reporting; Resolution; Rest; Sampling; Scanning; Site; Time; Work; addiction; base; cue reactivity; design; diffusion weighted; interest; neuroimaging; systematic review; working group

PROJECT SUMMARY This supplement request seeks to add task-based fMRI data to the data pooing efforts of the ENIGMA-Addiction group). ENIGMA-Addiction performs secondary mega- and meta-analyses of addiction-relevant neuroimaging- genetic datasets. The data pooling addresses the substantial concerns that exist within the neuroimaging field related to small samples leading to very poorly powered studies. Currently, ENIGMA-Addiction includes 152 unique studies, contributed by 86 Principal Investigators at 57 different institutions in 17 countries, totaling approximately 20,000 participants and, additionally, works with publicly available datasets (e.g., ABCD, HCP, UKBiobank). Thus far, we have focused on structural data (high resolution anatomical and diffusion weighted scans) and resting-state functional connectivity data. However, this is an ideal time to expand into task-based functional MRI, specifically, brain activation (and functional connectivity) during the presentation of substance- related cues called fMRI drug cue-reactivity (FDCR). Our recent systematic review of FDCR studies has identified 357 studies published from 1998 to 2020 (Ekhtiari 2022). Although there are heterogeneities in the details of the conducted studies, 252 of the 357 studies used pictorial cues and 217 of them used a blocked design. Moreover, we have tackled the methodological reporting issues in our recent consensus study (Ekhtiari et al. 2022) and there are now well-established procedures developed by a dedicated ENIGMA working group for the harmonized analyses of multi-site task-based fMRI data. We will collect minimally pre-processed data from the interested labs across the world with our existing ENIGMA-Addiction procedures. Primary analysis will consist of a mega-analysis of output from co-registered and pre-processed functional BOLD scans for individual participants using ENIGMA HALFPipe, to obtain and compare whole-brain drug>neutral contrast maps for participants with and without SUD and store them in BIDS format.

项目摘要 这一补充请求旨在将基于任务的功能磁共振成像数据添加到ENIGMA成瘾的数据库中。 组）。ENIGMA-Addiction对成瘾相关的神经影像学进行了二次大型和荟萃分析， 基因数据集数据池解决了神经成像领域中存在的实质性问题 与小样本相关，导致研究效力非常差。目前，ENIGMA成瘾包括152 独特的研究，由17个国家57个不同机构的86名主要研究者贡献，总计 大约20，000名参与者，此外，还使用公开可用的数据集（例如，ABCD，HCP， UKBiobank）。到目前为止，我们一直专注于结构数据（高分辨率解剖和扩散加权 扫描）和静止状态功能连接数据。然而，这是一个理想的时间来扩展到基于任务的 功能性磁共振成像，特别是，大脑激活（和功能连接）在提出的物质， fMRI药物线索反应性（FDCR）。我们最近对FDCR研究进行了系统回顾， 确定了1998年至2020年发表的357项研究（Ekhtiari 2022）。虽然存在异质性， 在357项研究中，有252项使用了图片线索，其中217项使用了封闭的 设计此外，我们在最近的共识研究（Ekhtiari）中解决了方法报告问题 等2022年），现在有一个专门的ENIGMA工作组制定了完善的程序 用于协调分析多位点基于任务的fMRI数据。我们将收集最低限度的预处理数据 从世界各地感兴趣的实验室与我们现有的谜成瘾程序。主要分析将 包括对共同配准和预处理功能BOLD扫描输出的大型分析， 使用ENIGMA HALFPipe的参与者，获得并比较全脑药物>中性对比图， 有和没有SUD的参与者，并以BIDS格式存储它们。

项目成果

Reproducibility in the absence of selective reporting: An illustration from large-scale brain asymmetry research.

• DOI: 10.1002/hbm.25154
• 发表时间: 2022-01
• 期刊: Human brain mapping
• 影响因子: 4.8
• 作者: Kong XZ;ENIGMA Laterality Working Group;Francks C
• 通讯作者: Francks C

Sex and dependence related neuroanatomical differences in regular cannabis users: findings from the ENIGMA Addiction Working Group.

• DOI: 10.1038/s41398-021-01382-y
• 发表时间: 2021-05-06
• 期刊: Translational psychiatry
• 影响因子: 6.8
• 作者: Rossetti MG;Mackey S;Patalay P;Allen NB;Batalla A;Bellani M;Chye Y;Conrod P;Cousijn J;Garavan H;Goudriaan AE;Hester R;Martin-Santos R;Solowij N;Suo C;Thompson PM;Yücel M;Brambilla P;Lorenzetti V
• 通讯作者: Lorenzetti V

Editorial: Alcohol and the Developing Brain: What to Expect Next?

社论：酒精与大脑发育：接下来会发生什么？

• DOI: 10.1016/j.jaac.2019.09.035
• 发表时间: 2020
• 期刊: Journal of the American Academy of Child and Adolescent Psychiatry
• 影响因子: 13.3
• 作者: Mackey,Scott