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
基本信息
- 批准号:10229537
- 负责人:
- 金额:$ 19.17万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 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:
- 关键词:Amygdaloid structureAnimalsAnteriorAttentionBiological MarkersBiologyBrainBrain regionCenters for Disease Control and Prevention (U.S.)Cessation of lifeClinicalCorpus striatum structureCouplingCuesDataDevelopmentDiagnosisDiseaseDrug usageEthicsExtinction (Psychology)FoundationsFunctional Magnetic Resonance ImagingGlutamatesGoalsHeroin UsersHippocampus (Brain)HumanImageInsula of ReilIntakeKnowledgeLeadMagnetic ResonanceMagnetic Resonance ImagingMagnetic Resonance SpectroscopyMeasurableMeasuresMedicalMentorsMethodsModelingNatureNeuronsNeurosciencesNeurotransmittersOpioidOxycodonePathway interactionsPatientsPharmaceutical PreparationsPhysicsPhysiologicalPhysiologyPrediction of Response to TherapyPrefrontal CortexReaction TimeRelapseReportingResearchResearch PersonnelRodentSelf AdministrationSerotonin AgonistsServicesSocietiesStimulusSubstance Use DisorderTechniquesTrainingTraining ProgramsUnited StatesWorkaddictionattentional biasbasecausal modelcingulate cortexcocaine usecravingcue reactivitydesigndrug cravinggamma-Aminobutyric Acidimaging modalityimaging studyindicated preventionmortalitymultimodalityneural circuitneuroimagingneuromechanismneuronal circuitryopioid useopioid use disorderpublic health emergencyrelapse predictionresearch studyresponsesocialsubstance usetargeted treatmenttoolvisual stimulus
项目摘要
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.
在美国,阿片类药物使用障碍(OUD)已被宣布为公共卫生紧急情况。来自
疾病控制和预防中心表明,由于
从1999年到2016年的阿片类药物。神经影像学是理解神经记录和生理学的强大工具
OUD的目的是针对患有这种疾病的患者的治疗。此K23应用程序呈现
专门从事磁共振成像的董事会认证的临床医学物理学家的培训计划
(MRI),为了接受有关药物使用障碍神经科学的培训,并成为一种
独立研究者。该应用程序中设定的目标将基于候选人的成像物理
背景通过(1)在物质使用中发展脑功能和神经通路的基础知识
为了设计,优化和解释成瘾研究的高级神经影像学技术的疾病;
(2)获得专业发展的培训,成为独立研究者,导师和
教育家(3)接受有关科学研究的负责任和道德行为的额外培训。
整体培训计划将涉及一项研究的研究,重点是(1)大脑有效连通性(即定向
OUD神经回路的连通性)和(2)磁共振光谱定量
神经递质与这些电路有关。在这项拟议的工作中,我们将采用基于fMRI的动态催化
与导师的指导专业知识的有效连通性建模,以识别神经环节
潜在的渴望药物和注意力提示的注意力偏见。此外,我们将使用MR光谱法
在OUD中研究神经递质γ-氨基丁酸(GABA)和谷氨酸及其关系
渴望药物和注意力偏见,并探索这些神经递质与脑的关联
有效的连通性。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Brian Allen Taylor其他文献
Brian Allen Taylor的其他文献
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{{ truncateString('Brian Allen Taylor', 18)}}的其他基金
Multi-parametric MRI Assessment of Brain Connectivity and Spectroscopic Biomarkers in Patients with Opioid Use Disorder
阿片类药物使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:
9975514 - 财政年份:2020
- 资助金额:
$ 19.17万 - 项目类别:
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:
10685347 - 财政年份:2020
- 资助金额:
$ 19.17万 - 项目类别:
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 - 财政年份:2020
- 资助金额:
$ 19.17万 - 项目类别:
Automated Assessment of White Matter Integrity in TBI Using Machine Learning
使用机器学习自动评估 TBI 中白质完整性
- 批准号:
9281656 - 财政年份:2014
- 资助金额:
$ 19.17万 - 项目类别:
Automated Assessment of White Matter Integrity in TBI Using Machine Learning
使用机器学习自动评估 TBI 中白质完整性
- 批准号:
8732156 - 财政年份:2014
- 资助金额:
$ 19.17万 - 项目类别:
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