Computational neuroimaging of reward in post-trauma psychopathology

创伤后精神病理学奖励的计算神经影像

基本信息

批准号：
10155557
负责人：
Gregory Fonzo
金额：
$ 19.03万
依托单位：
UNIVERSITY OF TEXAS AT AUSTIN
依托单位国家：
美国
项目类别：
财政年份：
2018
资助国家：
美国
起止时间：
2018-12-01 至 2023-05-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10155557
关键词：
Address Affect Animals Appetitive Behavior Applications Grants Area Attenuated Award Behavior Behavior assessment Behavioral Biological Brain Brain region Chronic Complex Computer Models Consumption Cues Data Development Dimensions Distress Doctor of Philosophy Educational workshop Emotions Environment Frequencies Future Generations Goals Grant Happiness Human Humor Image Impairment Individual Knowledge Learning Life Literature Major Depressive Disorder Manuscripts Maps Medical center Mentored Patient-Oriented Research Career Development Award Mentors Methods Modeling Motivation Negative Valence Neurosciences Outcome Personal Satisfaction Positive Valence Post-Traumatic Stress Disorders Prefrontal Cortex Process Psyche structure Psychological reinforcement Psychopathology Psychotherapy Public Health Quality of life Recording of previous events Research Research Domain Criteria Resources Rest Rewards Signal Transduction Stimulus Suicide Symptoms System Testing Training Translating Trauma Trauma Research Treatment outcome United States Department of Veterans Affairs Universities Ventral Striatum Ventral Tegmental Area Work Writing base behavioral study blood oxygen level dependent blood oxygenation level dependent response computer framework design disability expectation experience functional disability goal oriented behavior improved information model information processing insight interest meetings neural circuit neural recruitment neuroimaging positive emotional state post-trauma practical application relating to nervous system response responsible research conduct reward processing skills theories therapy development trauma exposure traumatic event treatment response

项目摘要

Project Abstract This is a proposal for a K23 Mentored Patient-Oriented Research Career Development Award for Gregory A. Fonzo, Ph.D. entitled: Computational neuroimaging of reward in post-trauma psychopathology. The K23 award would allow Dr. Fonzo to gain proficiency in: 1) reward processing and reinforcement learning theory, paradigms, and analysis; 2) computational approaches to modeling behavior and brain function; 3) basic and systems neuroscience; 4) mechanisms of treatment; and 5) manuscript/grant writing, professional development, and responsible conduct of research. All of the training and research will be conducted at Stanford University and its close affiliate, the Veteran's Affairs Medical Center in Palo Alto, which provides access to abundant intellectual and physical resources. The goal of this project is to better understand diminished positive affect in post-trauma psychopathology (PTP) through characterizing reward processing in a computational framework. Diminished positive affect in PTP is an important area for study, as these symptoms confer worse treatment outcomes, poorer quality of life, and greater levels of disability. Positive affect refers to the frequency and intensity with which an individual subjectively experiences positive valence emotions. The study of reward processing has been utilized for decades in animals and humans to elicit positive emotion and appetitive behavior, and reward processing reliably recruits neural substrates implicated in positive affect. Thus, this experimental framework is the ideal entrance point to begin study of diminished positive affect in PTP. Little work is being done in this area, and the need for a better understanding of the behavioral and neural bases of these symptoms is profound. The central hypothesis to be tested is the development of PTP perturbs reward circuit function, information flow, and subsequent behavioral processing of rewarding stimuli, which promotes diminished positive affect and impairs functioning through disrupting the reinforcement learning that guides and optimizes behavior. The current study aims to: 1) Identify reward circuit abnormalities in PTP during reward processing and at rest; 2) Understand how information is processed differently in PTP during reinforcement learning and how this is instantiated in neural circuits; and 3) Identify how reward processing abnormalities relate to symptoms of diminished positive affect. The PI plans to gain proficiency in proposal domains through: 1) tutorials and meetings with mentors; 2) intensive workshops on modeling information flow within neural circuits and building computational models of reward behavior; 3) formal coursework; 4) attendance of professional meetings; 5) practical application of skills to research data; and 6) planned submission of grant applications and manuscripts. Insights from the proposed work will improve our understanding of the brain processes underlying diminished positive affect in PTP, which will contribute important mechanistic insight to an understudied area of trauma research in humans.

项目摘要这是针对K23指导的以患者为导向的研究职业发展奖的提案 Gregory A. Fonzo博士题为：奖励后创伤后心理病理学的计算神经影像学。 K23奖将使Fonzo博士能够掌握：1）奖励处理和强化学习理论，范式和分析； 2）建模行为和大脑功能的计算方法； 3）基本和系统神经科学； 4）治疗机制； 5）手稿/赠款写作，专业发展和负责任的研究。所有培训和研究将在斯坦福大学及其近亲分支机构，帕洛阿尔托的资深事务医疗中心获得丰富的智力和物理资源。该项目的目标是更好地理解通过表征在计算框架。 PTP的积极影响减少是研究的重要领域，因为这些症状赋予治疗效果较差，生活质量较差和更高的残疾水平。积极影响是指个人主观经历积极的价情绪的频率和强度。这数十年来，在动物和人类中使用了奖励处理的研究，以引起积极的情绪和食欲行为和奖励处理可靠地募集与积极影响有关的神经底物。因此，这个实验框架是开始研究降低积极影响的理想入口处 PTP。在这一领域几乎没有完成工作，并且需要更好地了解行为和这些症状的神经基础是深刻的。要测试的中心假设是PTP的发展 Perturbs奖励电路功能，信息流以及随后的奖励刺激行为处理，这促进了积极影响减少，并通过破坏加固而损害功能学习指导和优化行为。当前的研究目的是：1）确定奖励电路异常在奖励处理和休息期间的PTP中； 2）了解如何在PTP中对信息进行不同的处理方式在强化学习期间，以及如何在神经回路中实例化； 3）确定如何奖励处理异常与阳性影响减少的症状有关。 PI计划熟练提案域通过：1）与导师的教程和会议； 2）关于建模的密集讲习班神经回路中的信息流并构建奖励行为的计算模型； 3）正式课程工作； 4）参加专业会议； 5）技能在研究数据中的实际应用；和6）计划提交赠款申请和手稿。拟议工作的见解将改善我们的理解对PTP中阳性影响下降的大脑过程的理解，这将有助于对人类创伤研究的研究研究领域的重要机理洞察力。