Resting State fMRI Functional and Effective Connectivity in Opioid and Cocaine Use Disorders

阿片类药物和可卡因使用障碍的静息态 fMRI 功能和有效连接

• 批准号: 10464504
• 负责人: Kyle Woisard
• 金额: $ 4万
• 依托单位: VIRGINIA COMMONWEALTH UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-06-10 至 2025-06-09
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10464504
• 关键词: Awareness; Brain; Brain Diseases; Brain region; COVID-19 pandemic; Clinical; Cocaine use disorder; Cues; Data; Development; Disease; Epidemic; Functional Magnetic Resonance Imaging; Future; Human; Left; Lesion; Measurement; Modeling; Neurobiology; Neurosciences; Patients; Pattern; Pharmaceutical Preparations; Pharmacotherapy; Pre-Clinical Model; Prevalence; Public Health; Publishing; Research; Rest; Seeds; Substance Use Disorder; United States Dept. of Health and Human Services; United States Food and Drug Administration; addiction; causal model; craving; executive function; improved; insight; interest; neurophysiology; non-drug; opioid use; opioid use disorder; pre-clinical; tool

Project Summary and Abstract Substance use disorders represent a major public health problem, and improved therapies are needed. To-date, pre-clinical models of addiction have not translated well into improved therapy options. An improved understanding of the clinical neurobiology of addictions can help refine preclinical neurocircuit models of addiction which may help inform the development of future therapies. One tool that can help improve the understanding of the neurobiology of substance use disorders is resting state brain functional magnetic resonance imaging (fMRI). fMRI measurements taken at rest allow for the assessment of functional connectivity, or correlations in activity patterns between spatially distinct brain regions. Dynamic Causal Modeling-estimated effective (directional) connectivity further estimates the direction of connectivity between brain regions. As opposed to preclinical models focused on specific brain regions acting as independent modules, human research has emphasized the analysis of the brain as functional networks of brain regions (Bressler & Menon, 2010). Functional and effective connectivity can provide insight into how the brain is organized into networks and how those networks may be altered in substance use disorders. The study of how brain networks interact opens a new avenue of research on the neurobiology of substance use disorders and other related brain disorders. However, published studies assessing functional or effective connectivity between whole brain networks in substance use disorders compared to healthy controls are lacking. In particular, there has been a relative lack of studies assessing functional or effective connectivity of the executive control network, despite well documented executive control deficits in substance use disorders. Robust and replicable within- and between-network connectivity differences in substance use disorders could help refine preclinical models of addiction helping to inform future pharmacotherapy development. The present study aims to assess between-network brain functional connectivity and effective connectivity among three key brain networks (Salience Network, Default Mode Network, and Executive Control Network) in opioid and cocaine use disorder subjects compared to non-drug using controls. The completion of this project will determine the extent to which functional and effective connectivity among the Default Mode Network, Salience Network, and Executive Control Network differs in opioid and cocaine use disorders compared to non-drug using controls, providing neurocircuit targets for preclinical and clinical models of substance use disorders.

项目概要和摘要 物质使用障碍是一个主要的公共卫生问题，需要改进治疗方法。 迄今为止，成瘾的临床前模型尚未很好地转化为改进的治疗方案。一种改进 了解成瘾的临床神经生物学可以帮助完善成瘾的临床前神经回路模型。 这可能有助于为未来的治疗方法提供信息。一个可以帮助改善 对物质使用障碍的神经生物学的理解是静息态脑功能磁 共振成像（fMRI）。静息状态下进行的fMRI测量允许评估功能性 空间上不同的大脑区域之间的活动模式的连通性或相关性。动态因果 建模估计的有效（方向）连接性进一步估计 大脑区域。与临床前模型相反， 模块，人类的研究已经强调了大脑的分析，作为大脑区域的功能网络 （Bressler & Menon，2010年）。功能性和有效的连接可以让我们深入了解大脑是如何运作的。 组织成网络，以及这些网络如何在物质使用障碍中改变。研究如何 大脑网络的相互作用为物质使用障碍的神经生物学研究开辟了新的途径， 其他相关的脑部疾病。然而，已发表的评估功能或有效连接的研究 与健康对照组相比，物质使用障碍患者的全脑网络之间缺乏联系。在 特别是，相对缺乏评估功能或有效连接的研究， 执行控制网络，尽管在物质使用障碍的执行控制缺陷有据可查。 在物质使用障碍中，网络内和网络间的连接性差异是强大的和可复制的， 有助于完善成瘾的临床前模型，有助于为未来的药物治疗发展提供信息。本 一项研究旨在评估网络之间的大脑功能连接和三个关键网络之间的有效连接。 阿片类药物的大脑网络（显着性网络，默认模式网络和执行控制网络）， 可卡因使用障碍受试者与非药物使用对照组相比。该项目的完成将 确定默认模式网络之间的功能和有效连接的程度， 网络和执行控制网络在阿片类药物和可卡因使用障碍与非药物使用障碍中的差异 使用对照，为物质使用障碍的临床前和临床模型提供神经回路目标。