Prescription opiate, drug cue processing network, and neural connectivity

处方鸦片、药物线索处理网络和神经连接

基本信息

批准号：
9372837
负责人：
Suchismita Ray
金额：
$ 13.19万
依托单位：
RUTGERS, THE STATE UNIV OF N.J.
依托单位国家：
美国
项目类别：
财政年份：
2017
资助国家：
美国
起止时间：
2017-09-01 至 2018-09-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/9372837
关键词：
Abstinence Age Alcohol or Other Drugs use Algorithms Americas Amygdaloid structure Analysis of Covariance Area Attention Automobile Driving Base of the Brain Behavior Therapy Brain Brain region Centers for Disease Control and Prevention (U.S.)Cessation of life Chronic Cocaine Collection Control Groups Cues Data Decision Making Dependency Development Diffusion Magnetic Resonance Imaging Disease Drug Metabolic Detoxication Drug Modelings Drug Prescriptions Drug usage Drug user Elements Epidemic Female Foundations Functional Magnetic Resonance Imaging Funding Future Gender Goals Grant Heroin Image Imaging Device Imaging Techniques Impairment Individual Intervention Knowledge Literature Long-Term Effects Measures Memory Methods Opiate Addiction Opiates Overdose Participant Persons Pharmaceutical Preparations Pharmacology Planning Techniques Prevention Questionnaires Recruitment Activity Reporting Research Rest Sampling Scanning Severities Sex Characteristics Signal Transduction Structure Structure-Activity Relationship Techniques Testing Theoretical model Woman Work alcohol and other drug attentional bias base craving cue reactivity density disorder later incidence prevention drug seeking behavior executive function gray matter imaging study long term memory male men misuse of prescription only drugs morphometry motivated behavior network models neuroimaging nigrostriatal system overdose death prescription drug abuse prescription opiate prescription opioid prescription pain reliever relating to nervous system response sample fixation visual stimulus white matter

项目摘要

Abstract This application is in response to PAR-15-326 to facilitate the PI's entry using neuroimaging in opiate addiction, thereby expanding her prior research expertise into the field of opiate research. The PI will work with her collaborators to develop expertise in diffusion tensor imaging (DTI) technique to conduct a multi-method assessment to better understand brain structure-function relationship in prescription opiate users. Opiate overdose, specifically the prescription opiate overdose has taken the form of epidemic in the U.S. The goal of this proposal is to provide a multimethod assessment of structural and functional brain changes within prescription opiate users' drug cue processing network (DCPN; implicated in drug seeking behavior) using functional magnetic resonance imaging (fMRI) and the tools of structural, functional and effective connectivity analysis. This is a proposal to collect the first structural, functional and effective connectivity data between the regions within the DCPN in prescription opiate dependents (PODs) and matched controls. If funded, this I/START grant will allow the PI to transition to the opiate addiction field. She will combine her existing neuroimaging knowledge with new knowledge on DTI technique that she plans to gather during this grant period, and finally would like to apply her expertise into the new field of prescription opiate. By using the voxel based morphometry (VBM) and DTI techniques, the PI and her collaborators will explore group differences in structural gray matter volume and density (VBM) and white matter connectivity (DTI) in regions within the DCPN. The functional connectivity (using a resting state task) between the regions within the DCPN and the effective connectivity (using a prescription opiate cue exposure task) between the regions within the DCPN will be compared between the POD and control groups (Aim 1). Sex differences in brain structure and function within the DCPN between the POD and control groups using VBM, DTI, a resting state task and a prescription opiate cue exposure task will be explored (Aim 2). Thirty PODs and 30 age and gender matched controls will be recruited. Each participant will take part in one imaging session and will complete alcohol and other drug use questionnaires. During the resting state scan, participants will fixate on a cross. During the prescription opiate cue exposure task, participants will view prescription opiate related and neutral visual stimuli and will provide craving ratings. During DTI Imaging, participants will view a fixation cross. For the VBM analysis, a MANCOVA will be performed between the groups with gray matter volume (or gray matter density) as a repeated factor. For each analysis, factor scores will be derived. Independent sample t-tests will then be conducted between the PODs and controls on factor scores (DTI, functional, effective connectivity). Correlations between craving ratings and each factor score in PODs will be calculated. A separate 2 (sex) x 2 (group) ANCOVA will be conducted for each factor score probing for sex by group interactions. This project may help for future development of brain-based algorithms to optimize treatment of individual PODs.

抽象的该应用程序是为了响应 PAR-15-326，以促进 PI 使用神经影像学进入鸦片成瘾，从而将她之前的研究专业知识扩展到阿片类药物研究领域。 PI 将与她一起工作合作者开发扩散张量成像（DTI）技术方面的专业知识，以进行多方法评估以更好地了解处方阿片使用者的大脑结构与功能关系。阿片类药物药物过量，特别是处方阿片类药物过量，在美国已成为流行病。该提案旨在提供对大脑结构和功能变化的多方法评估处方阿片使用者的药物线索处理网络（DCPN；涉及药物寻求行为）使用功能磁共振成像（fMRI）以及结构、功能和有效连接的工具分析。这是一项收集第一批结构、功能和有效连接数据的提案 DCPN 内的处方阿片类药物依赖者 (POD) 区域和匹配对照区域。如果有资助的话，这 I/START 拨款将允许 PI 过渡到阿片成瘾领域。她将结合现有的她计划在这笔资助期间收集神经影像知识以及 DTI 技术的新知识期间，最后想将她的专业知识应用到处方阿片类药物的新领域。通过使用体素基于形态测量 (VBM) 和 DTI 技术，PI 和她的合作者将探索群体差异区域内的结构性灰质体积和密度（VBM）以及白质连接性（DTI） DCPN。 DCPN 内的区域和区域之间的功能连接（使用静息状态任务） DCPN 内各区域之间的有效连接（使用处方阿片线索暴露任务）将在 POD 组和对照组之间进行比较（目标 1）。大脑结构和功能的性别差异在 POD 和对照组之间的 DCPN 内，使用 VBM、DTI、静息状态任务和处方将探讨鸦片线索暴露任务（目标 2）。三十个 POD 和 30 个年龄和性别匹配的对照将被招募。每位参与者将参加一次成像会议，并完成酒精和其他药物的测试使用调查问卷。在静息状态扫描期间，参与者将注视十字架。服药期间阿片线索暴露任务中，参与者将查看处方阿片相关的和中性的视觉刺激，并将提供渴望评级。在 DTI 成像期间，参与者将查看注视十字。对于 VBM 分析， MANCOVA 将在各组之间进行，以灰质体积（或灰质密度）作为重复因素。对于每次分析，都会得出因子得分。然后将进行独立样本 t 检验在 POD 和控制因子评分（DTI、功能、有效连接）之间进行。将计算渴望评级与 POD 中每个因素得分之间的相关性。单独的 2（性别）x 2 （团体）将对每个因素评分进行ANCOVA，通过团体互动来探究性别。这个项目可能有助于未来基于大脑的算法的开发，以优化单个 POD 的治疗。