Multi-parametric MRI Assessment of Brain Connectivity and Spectroscopic Biomarkers in Patients with a Substance Use Disorder

药物滥用障碍患者大脑连接性和光谱生物标志物的多参数 MRI 评估

• 批准号: 10457894
• 负责人: Brian Allen Taylor
• 金额: $ 19.02万
• 依托单位: UNIVERSITY OF TX MD ANDERSON CAN CTR
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-09-01 至 2025-08-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10457894
• 关键词: Amygdaloid structure; Animals; Anterior; Attention; Biological Markers; Biology; Brain; Brain region; Centers for Disease Control and Prevention (U.S.); Cessation of life; Clinical; Cocaine use disorder; Corpus striatum structure; Coupling; Cues; Data; Development; Diagnosis; Disease; Drug usage; Ethics; Extinction (Psychology); Foundations; Functional Magnetic Resonance Imaging; Glutamates; Goals; Heroin Users; Hippocampus (Brain); Human; Image; Insula of Reil; Intake; Knowledge; Lead; Magnetic Resonance; Magnetic Resonance Imaging; Magnetic Resonance Spectroscopy; Measurable; Measures; Medical; Mentors; Methods; Modeling; Nature; Neurons; Neurosciences; Neurotransmitters; Opioid; Oxycodone; Pathway interactions; Patients; Pharmaceutical Preparations; Physics; Physiological; Physiology; Prediction of Response to Therapy; Prefrontal Cortex; Reaction Time; Relapse; Reporting; Research; Research Personnel; Rodent; Self Administration; Serotonin Agonists; Services; Societies; Stimulus; Substance Use Disorder; Techniques; Training; Training Programs; United States; Work; addiction; attentional bias; base; causal model; cingulate cortex; craving; cue reactivity; design; drug craving; gamma-Aminobutyric Acid; imaging modality; imaging study; indicated prevention; mortality; multimodality; neural circuit; neuroimaging; neuromechanism; neuronal circuitry; opioid use; opioid use disorder; public health emergency; relapse prediction; research study; response; social; substance use; targeted treatment; tool; visual stimulus

Opioid use disorder (OUD) has been declared as a public health emergency in the United States. Data from the Centers for Disease Control and Prevention indicate a fivefold increase in the number of deaths due to opioids from 1999 to 2016. Neuroimaging is a powerful tool in understanding the neurocircuitry and physiology of OUD in order to target treatments for patients suffering from this disorder. This K23 application presents a training program for a board-certified clinical medical physicist, who specializes in magnetic resonance imaging (MRI), in order to receive training in the neuroscience of substance use disorders and to become an independent investigator. The goals set in this application will build on the candidate’s imaging physics background by (1) developing a foundational knowledge of brain function and neurocircuitry in substance use disorders in order to design, optimize, and interpret advanced neuroimaging techniques for addiction research; (2) acquiring training in professional development to become an independent investigator, mentor and educator; and (3) receiving additional training in the responsible and ethical conduct of scientific research. The overall training program will involve a research study focused on (1) brain effective connectivity (i.e., directional connectivity) of neural circuits in OUD, and (2) magnetic resonance spectroscopic quantification of neurotransmitters related to these circuits. In this proposed work, we will employ fMRI-based dynamic causal modeling of effective connectivity with guided expertise from mentors in order to identify neurocircuits underlying drug craving and attentional bias to dug cues. In addition, we will use MR spectroscopy to investigate the neurotransmitters gamma-aminobutyric acid (GABA) and glutamate in OUD and their relation to drug craving and attentional bias, and to explore the association of these neurotransmitters with brain effective connectivity.

阿片类药物使用障碍（OUD）已被宣布为美国的突发公共卫生事件。数据从