Dispositional Negativity and the Pavlovian Control of Active and Passive Defensive Behavior

性格消极性与主动和被动防御行为的巴甫洛夫控制

基本信息

批准号：
10437719
负责人：
Timothy A Allen
金额：
$ 17.3万
依托单位：
UNIVERSITY OF PITTSBURGH AT PITTSBURGH
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：
2020-07-13 至 2025-06-30
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10437719
关键词：
Adult Aggressive behavior Amygdaloid structure Anger Anxiety Behavior Behavior Control Behavioral Behavioral Paradigm Behavioral inhibition Biological Clinical Cognitive Complex Computer Models Cues Decision Theory Depressed mood Desire for food Development Diagnosis Dimensions Disease Distal Distress Economic Burden Economics Emotional Environment Equation Frustration Functional Magnetic Resonance Imaging Future Goals Impairment Individual Individual Differences Intervention Label Laboratories Learning Link Literature Maintenance Measures Mental disorders Mentors Methods Modeling Modernization Motivation National Institute of Mental Health Neurosciences Neurotic Disorders Operant Conditioning Outcome Participant Pattern Phenotype Process Protocols documentation Psychological reinforcement Psychometrics Psychopathology Punishment Recurrence Relapse Research Research Domain Criteria Research Support Risk Factors Sampling Series Signal Transduction Site-Directed Mutagenesis Stimulus Symptoms System Testing Training Variant Ventral Striatum Work active control anxious base behavioral response clinical development clinical predictors clinical prognosis computational neuroscience conditioning experimental study flexibility functional disability functional outcomes imaging modality improved indexing multilevel analysis negative affect neural circuit neurobehavioral neuroimaging novel psychiatric comorbidity psychologic recruit relating to nervous system response social treatment response vigilance

Adult Aggressive behavior Amygdaloid structure Anger Anxiety Behavior Behavior Control Behavioral Behavioral Paradigm Behavioral inhibition Biological Clinical Cognitive Complex Computer Models Cues Decision Theory Depressed mood Desire for food Development Diagnosis Dimensions Disease Distal Distress Economic Burden Economics Emotional Environment Equation Frustration Functional Magnetic Resonance Imaging Future Goals Impairment Individual Individual Differences Intervention Label Laboratories Learning Link Literature Maintenance Measures Mental disorders Mentors Methods Modeling Modernization Motivation National Institute of Mental Health Neurosciences Neurotic Disorders Operant Conditioning Outcome Participant Pattern Phenotype Process Protocols documentation Psychological reinforcement Psychometrics Psychopathology Punishment Recurrence Relapse Research Research Domain Criteria Research Support Risk Factors Sampling Series Signal Transduction Site-Directed Mutagenesis Stimulus Symptoms System Testing Training Variant Ventral Striatum Work active control anxious base behavioral response clinical development clinical predictors clinical prognosis computational neuroscience conditioning experimental study flexibility functional disability functional outcomes imaging modality improved indexing multilevel analysis negative affect neural circuit neurobehavioral neuroimaging novel psychiatric comorbidity psychologic recruit relating to nervous system response social treatment response vigilance

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项目摘要

Individual differences in negative affect are captured by a relatively stable, transdiagnostic dimension known as dispositional negativity, which can be decomposed into two correlated subcomponents: anxious distress (AD; reflecting tendencies toward sadness and anxiety) and irritable distress (ID; reflecting tendencies toward frustration and anger). The goal of this proposal is to provide training in behavioral experiments, computational modeling, and functional magnetic resonance imaging (fMRI) methods that can be used to interrogate the learning processes that underlie the subcomponents of dispositional negativity. Understanding the neurocomputational basis of dispositional negativity is of central importance because it contributes to nearly all forms of psychopathology and is strongly related to clinical prognosis, functional impairment, and economic burden. The central hypothesis of the current proposal is that elevations in dispositional negativity reflect a predominance of an inflexible Pavlovian learning system over instrumental behavioral control in aversive contexts, with AD reflecting a Pavlovian bias to engage in passive avoidance, and ID reflecting a Pavlovian bias to engage in active defense. Specifically, the aims of this project are to 1) demonstrate that passive and active Pavlovian biases are differentially associated with individual differences in AD and ID; 2) characterize the neural circuitry underlying AD, ID, and their associated Pavlovian biases; and 3) show that biases toward active and passive defense are associated with common real-world correlates of AD and ID. Consistent with a transdiagnostic, dimensional approach informed by the Research Domain Criteria (RDoC), 200 adults representing the full spectrum of dispositional negativity and its subcomponents will complete a series of behavioral paradigms that manipulate the influence of the Pavlovian learning system on instrumental behavior in an aversive context, including a novel aversive Pavlovian-Instrumental Transfer (PIT) task. A subsample of 70 participants will complete the aversive PIT task while undergoing fMRI. Behavior will be analyzed using frequentist multi-level models and reinforcement learning (RL) models that formally quantify Pavlovian influence within a Bayesian decision theory framework. RL model-estimated prediction errors will be regressed against BOLD signal, and structural equation modeling will be used to link AD, ID, and their associated Pavlovian biases to real-world outcomes. The proposed training plan leverages a world-class research environment with a team of highly skilled mentors and consultants to provide the candidate with training in experimental learning paradigms, computational modeling, and functional neuroimaging methods. In line with NIMH’s Strategic Objectives, the proposed work will describe the neural circuitry associated with complex forms of learned defensive behavior, enable the development of clinically useful behavioral and biological indices of dispositional negativity, and identify potential targets for transdiagnostic interventions.

负面影响中的个体差异被称为相对稳定的经诊断维度捕获倾向负性，可以分解为两个相关的子组成部分：焦虑困扰（AD；反映对悲伤和焦虑的倾向）和烦躁的苦难（ID；反映对悲伤和焦虑的倾向）沮丧和愤怒）。该建议的目的是在行为实验，计算中提供培训建模和功能磁共振成像（fMRI）方法，可用于审问该方法学习过程的构成了处置负效应的子组成部分。了解性格谈判的神经计算基础至关重要，因为它几乎有助于所有心理病理学的形式，与临床预后，功能障碍和经济性密切相关负担。当前提议的中心假设是，处置阴性的高程反映了不灵活的帕夫洛维亚学习系统优于厌恶行为控制环境，广告反映了帕夫洛夫偏见以进行被动避免的偏见，并反映了帕夫洛维亚人偏向积极的防御。具体而言，该项目的目的是1）证明这种被动和主动帕夫洛维亚偏见与AD和ID的个体差异不同。 2）表征 AD，ID及其相关的Pavlovian偏见的神经回路； 3）表明偏见主动和被动防御与AD和ID的常见现实世界相关。与a一致通过研究领域标准（RDOC）告知的转诊，维度方法，200名成年人代表全面的倾角负面范围及其子组件将完成一系列操纵Pavlovian学习系统对工具行为的影响的行为范例在厌恶的背景下，包括一种新颖的厌恶帕夫洛维亚 - 乐器转移（PIT）任务。一个子样本 70名参与者将在进行功能磁共振成像的同时完成厌恶性坑任务。行为将使用频道的多级模型和增强学习（RL）模型，它们正式量化了Pavlovian 在贝叶斯决策理论框架内的影响。 RL模型估计的预测错误将被回归反对大胆的信号，结构方程建模将用于链接AD，ID及其相关的链接帕夫洛维亚人偏见现实世界的结果。拟议的培训计划利用了世界一流的研究与高技能导师和顾问团队的环境，为候选人提供培训实验学习范例，计算建模和功能神经影像学方法。与 NIMH的战略目标，拟议的工作将描述与复杂相关的神经电路学到的防御行为的形式，可以发展临床上有用的行为和生物学处置负性索引，并确定转诊干预措施的潜在目标。