Neuroimaging Major Depression and Nicotine Dependence on Axes of Valuation

神经影像学重度抑郁症和尼古丁对估值轴的依赖

• 批准号: 8004892
• 负责人: PEARL H CHIU
• 金额: $ 34.54万
• 依托单位: BAYLOR COLLEGE OF MEDICINE
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-06-03 至 2011-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8004892
• 关键词: Affect; Affective; American; Area; Behavior; Behavior Therapy; Behavioral; Biological Assay; Centers for Disease Control and Prevention (U.S.); Cessation of life; Characteristics; Comorbidity; Computer Simulation; Corpus striatum structure; Coupled; Cues; Data; Decision Making; Depressed mood; Diagnostic; Disease; Drug usage; Emotions; Etiology; Exhibits; Functional Magnetic Resonance Imaging; Functional disorder; Goals; High Prevalence; Human; Hypersensitivity; Impairment; Incentives; Individual; Lead; Learning; Major Depressive Disorder; Measures; Mental Depression; Methods; Metric; Mood Disorders; Motivation; Neurobiology; Nicotine; Nicotine Dependence; Outcome; Participant; Population; Probability; Rewards; Risk; Series; Severities; Signal Transduction; Smoke; Smoker; Smoking; Substance Addiction; System; Techniques; Testing; Work; addiction; base; cigarette smoking; cost; cue reactivity; disability; emotional stimulus; experience; improved; innovation; mortality; motivated behavior; neurobehavioral; neuroimaging; neuropathology; non-smoker; novel; pleasure; premature; public health relevance; relating to nervous system; response

DESCRIPTION (provided by applicant): Major depressive disorder and substance dependence, respectively, rank among the most significant causes of mortality and disability in the American and worldwide populations (WHO, 2008; CDC, 2005). While major depression and addiction have traditionally been studied as distinct phenomena, intriguing evidence suggests that diametrical impairments in common neurobehavioral affect and motivation systems may underlie the disorders' etiologies and contribute to the high prevalence of substance dependence in depression. Recent advances in functional neuroimaging, coupled with novel analytic methods, and emerging data suggest that a re-conceptualization of the conditions may be warranted. Specifically, key aspects of substance dependence (including nicotine dependence) and major depression may be quantified on extreme ends of axes commonly used to quantify "motivated behavior" or "valuation". In doing so, the pathophysiology underlying the high co- morbidity of major depression with substance dependence may be elucidated and lead to improved diagnostics and therapies for the conditions as they occur separately and together. Thus, the broad goal of this project is to identify and refine a common neurobehavioral space within which anomalies of valuation in depression and nicotine dependence may be understood. We suggest that recent functional neuroimaging data in four domains of motivated behavior provide an initial direction for this work; these areas are: (i) affect/cue reactivity; (ii) reward/loss-guided probabilistic learning; and (iii) responses to counterfactual signals. We believe that these data will facilitate advances in the following areas: a) clarifying the common and distinct neuropathology of motivated behavior in nicotine dependence and depression, and b) providing initial data on neurobehavioral anomalies that contribute to the high prevalence of co-occurring nicotine dependence and depression. PUBLIC HEALTH RELEVANCE: Cigarette smoking and major depressive disorder, respectively, rank among the most significant causes of mortality and disability in the American and worldwide populations (WHO, 2008; CDC, 2005). We believe that these data will facilitate advances in the following areas: a) clarifying the common and distinct neuropathology of motivated behavior in nicotine dependence and depression, and b) providing initial data on neurobehavioral anomalies that contribute to the high prevalence and particularly debilitating effects of co-occurring nicotine dependence and depression. The human and fiscal cost of nicotine dependence and major depression motivates the attempt to identify quantitative neurobehavioral measures that may be used to understand the pathophysiology of the conditions.

描述（由申请人提供）：重度抑郁症和物质依赖分别被列为美国和全世界人口死亡和残疾的最重要原因之一（世界卫生组织，2008 年；疾病预防控制中心，2005 年）。虽然重度抑郁症和成瘾传统上被作为不同的现象进行研究，但有趣的证据表明，常见神经行为情感和动机系统的直接损伤可能是这些疾病的病因，并导致抑郁症中物质依赖的高患病率。功能神经影像学的最新进展，加上新颖的分析方法和新出现的数据表明，可能有必要重新概念化这些病症。具体而言，物质依赖（包括尼古丁依赖）和重性抑郁的关键方面可以在通常用于量化“动机行为”或“评价”的轴的最末端进行量化。这样做，可以阐明重度抑郁症与物质依赖的高共病性背后的病理生理学，并改进对这些疾病单独和同时发生的诊断和治疗。因此，该项目的总体目标是确定和完善一个共同的神经行为空间，在该空间中可以理解抑郁症和尼古丁依赖的评估异常。我们建议最近四个动机行为领域的功能神经影像数据为这项工作提供了初步方向；这些领域是： (i) 影响/提示反应性； (ii) 奖励/损失引导的概率学习； (iii) 对反事实信号的反应。我们相信这些数据将促进以下领域的进展：a）阐明尼古丁依赖和抑郁症中动机行为的常见和独特的神经病理学，b）提供有关导致尼古丁依赖和抑郁症同时发生的高患病率的神经行为异常的初步数据。 公共卫生相关性：吸烟和重度抑郁症分别是美国和全世界人口死亡和残疾的最重要原因之一（世界卫生组织，2008 年；疾病预防控制中心，2005 年）。我们相信这些数据将促进以下领域的进展：a）阐明尼古丁依赖和抑郁症中动机行为的常见和独特的神经病理学，b）提供神经行为异常的初步数据，这些异常导致尼古丁依赖和抑郁症同时发生的高患病率，特别是使人衰弱的影响。尼古丁依赖和重度抑郁症的人力和财政成本促使人们尝试确定可用于了解这些病症的病理生理学的定量神经行为测量方法。