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Brain Imaging Studies of Negative Reinforcement in Humans

人类负强化的脑成像研究

基本信息

批准号：
7776756
负责人：
KEVIN S LABAR
金额：
$ 38.58万
依托单位：
DUKE UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2009
资助国家：
美国
起止时间：
2009-09-01 至 2014-07-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/7776756
关键词：
3-Dimensional Adopted Affective Animal Model Animals Anxiety Arousal Association Learning Avoidance Learning Behavior Behavioral Behavioral inhibition Brain Brain imaging Classification Clinical Trials Clip Computer Graphics Corpus striatum structure Crying Development Diving Drug Addiction Drug usage Emerging Technologies Emotional Environment Environment and Public Health Exhibits Exploratory Behavior Face Figs - dietary Floor Food Frequencies Fright Functional Magnetic Resonance Imaging Glass Goals Goggles Hand Head Hippocampus (Brain)Human Immersion Investigative Technique Incentives Individual Differences Investigation Knowledge Laboratories Lead Learning Left Length Life Link Literature Location Magnetic Resonance Imaging Maintenance Maps Measures Mediating Memory Methods Modeling Monitor Moods Movement Negative Reinforcements Neurobiology Operant Conditioning Outcome Participant Performance Pharmaceutical Preparations Population Positive Reinforcer Process Property Psychological reinforcement Psychophysiology Public Health Relapse Relative (related person)Research Retrieval Rewards Series Shock Side Simulate Specific qualifier value Stimulus Stress System Task Performances Technology Time Training Translating Update Water addiction avoidance behavior base cognitive neuroscience drug addict environmental stressor experience indexing innovation long term memory memory process movie multisensory negative mood neural circuit neurobehavioral neuroimaging novel pleasure public health relevance reinforcer relating to nervous system repaired research study response simulation stereoscopic stressor trait virtual virtual reality

项目摘要

DESCRIPTION (provided by applicant): A major challenge to treating drug addiction is understanding how learned associations to aversive reinforcers promote avoidant behavior and trigger the onset and relapse of drug use. Studies in non-human animals have begun to elucidate the neurobehavioral mechanisms of avoidance learning, but there have been few efforts to translate these findings to human populations. Neuroplastic brain mechanisms that support long-term memory formation are hypothesized to alter the representations of stimuli and strengthen contextual associations as a function of their incentive properties. The proposed research adopts a cognitive neuroscience perspective to characterize how motivational brain systems modulate declarative memory formation in humans and lead to behavioral avoidance. Although human declarative memory is traditionally probed using list- learning paradigms, recent advances in computer graphics interfaces and immersive virtual reality (VR) technology permit the development of novel navigational avoidance tasks that provide a tighter link with the animal literature and more closely model real-world avoidant behaviors exhibited by drug addicts in response to environmental stressors. Healthy participants will undergo a series of functional magnetic resonance imaging studies that present reinforcing stimuli within the context of both traditional list-learning and novel VR-based navigational learning and memory tasks. The first series of experiments compares the influence of appetitive versus aversive instrumental reinforcers on declarative memory systems. The second series of experiments determines how negative mood states amplify the mnemonic effects of the incentive properties of instrumental reinforcers and motivate reward-seeking ("relief") as a form of mood repair. The third series of experiments develops a multisensory, immersive VR paradigm that simulates stress-induced avoidance and escape on a naturalistic memory task that combines navigational and list-learning approaches. Functional connectivity modeling, in combination with multiple regression and independent components analyses, will characterize the interactions of motivational and memory systems and their relationship to individual differences in behavioral performance indices and trait markers of avoidance. The proposed studies thus represent a systematic and innovative approach to human avoidance learning that combines cutting-edge VR technology and functional neuroimaging methods. The research findings will bridge a translational gap in understanding how positive reinforcers, mood states, and stressors modify the impact of aversive behavioral consequences on learning and memory systems that help establish internal maps of salient features of the environment. PUBLIC HEALTH RELEVANCE: In drug addiction, the experience and recall of environmental stressors can trigger the onset and relapse of drug use as a means to escape from life challenges. The proposed research will impact public health by advancing an understanding of how aversive reinforcers modulate memory systems in the brain and promote avoidant behavior. The research also develops new paradigms that could be incorporated into clinical trials to assess how rewards provide relief from negative moods, and to assess escape behavior in a stressful learning context using virtual reality simulations.

描述（由申请人提供）：治疗药物成瘾的一个主要挑战是理解对厌恶强化物的习得关联如何促进回避行为，并触发药物使用的开始和复发。对非人类动物的研究已经开始阐明回避学习的神经行为机制，但将这些发现转化为人类的努力很少。支持长期记忆形成的神经可塑性脑机制被假设为改变刺激表征并加强上下文关联作为其激励特性的功能。本研究采用认知神经科学的观点来描述动机性脑系统如何调节人类陈述性记忆的形成并导致行为回避。尽管人类陈述性记忆传统上是使用列表学习范式来探索的，但计算机图形界面和沉浸式虚拟现实（VR）技术的最新进展允许开发新的导航回避任务，这些任务提供了与动物文献更紧密的联系，并更紧密地模拟了吸毒成瘾者在应对环境压力时表现出的现实回避行为。健康参与者将接受一系列功能性磁共振成像研究，在传统的列表学习和基于vr的导航学习和记忆任务的背景下提供强化刺激。第一组实验比较了食欲强化物和厌恶强化物对陈述性记忆系统的影响。第二组实验确定了消极情绪状态如何放大工具强化物的激励特性的助记效应，并激励寻求奖励（“解脱”）作为一种情绪修复形式。第三个系列的实验开发了一个多感官、沉浸式的VR范例，模拟了在结合导航和列表学习方法的自然记忆任务中压力诱导的回避和逃避。功能连接模型将结合多元回归和独立成分分析来描述动机和记忆系统的相互作用及其与个体行为表现指标和回避特质标记差异的关系。因此，拟议的研究代表了一种结合尖端VR技术和功能神经成像方法的系统和创新的人类回避学习方法。研究结果将在理解积极强化物、情绪状态和压力源如何改变厌恶行为对学习和记忆系统的影响方面弥合翻译上的差距，从而帮助建立环境显著特征的内部地图。