Functional Spectroscopy with Real-Time Feedback for Altering Preferences in Addic

具有实时反馈的功能光谱学可改变成瘾者的偏好

• 批准号: 7687503
• 负责人: HANS C BREITER
• 金额: $ 33.73万
• 依托单位: MASSACHUSETTS GENERAL HOSPITAL
• 依托单位国家: 美国
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-09-15 至 2010-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7687503
• 关键词: Amygdaloid structure; Behavior; Behavior Therapy; Behavioral; Brain; Brain region; Cocaine; Computer software; Cues; Data; Data Display; Decision Making; Development; Drug Addiction; Drug usage; Effectiveness; Entropy; Evaluation; Exhibits; Experimental Psychology; Feedback; Fingers; Functional Imaging; Functional Magnetic Resonance Imaging; Future; Head; Hippocampus (Brain); Image; Impulsivity; Individual; Judgment; Laws; Learning; Link; Measurement; Measures; Methods; Metric; Monitor; Motion; Neurosciences; Nucleus Accumbens; Pattern; Performance; Pharmaceutical Preparations; Phase; Phenotype; Positioning Attribute; Predisposition; Prefrontal Cortex; Procedures; Recruitment Activity; Relative (related person); Research; Rest; Rewards; Signal Transduction; Spectrum Analysis; Stimulus; Structure; Symptoms; System; Task Performances; Techniques; Technology; Testing; Therapeutic; Therapy Clinical Trials; Time; Training; Ventral Tegmental Area; Work; addiction; base; brain behavior; design; drug addiction therapy; drug seeking behavior; healthy volunteer; interest; neuroimaging; preference; psychosocial; public health relevance; relating to nervous system; research study; response; software development; time use; tool; volunteer

DESCRIPTION (provided by applicant): This project will develop a real-time neuroimaging and behavioral method by which individuals with addiction may use brain- and key press-based feedback to modulate their responses to drug cues, and alter brain and behavior signatures of addiction. Drug addiction can be characterized by a restructuring of the reward system to short-term rapid rewards, decreased assessment of long-term consequences, impulsivity, and a narrowing of the behavioral repertoire (i.e., restriction in the set of things toward which one shows preference). To deal with these symptoms of addiction, one therapeutic approach has been to develop urge minimization techniques through adaptations of behavioral therapy. These therapy techniques have traditionally focused on psychosocial measures of addiction that can be difficult to quantify or alter objectively. Recent advances in addiction neuroscience have revealed robust alterations of reward/aversion circuitry along with experimental psychology variables in addiction that may be amenable to use with behavioral techniques. Specifically, structural and functional MRI measures of prefrontal cortex, point to localized differences in addicts that can be connected with a key press-based phenotype of relative preference that quantifies their restricted behavioral repertoire. Technical and computational advances suggest that these neuroscience measures might be harnessed for behavioral therapy. Toward this end, this project lays out a set of milestones as an R21 proposal to develop (a) a technical work-flow for high SNR, quantitative BOLD activation measurement based on single and double voxel spectroscopy; (b) real-time signal analysis and display software for feedback to individuals based on behavior and BOLD signal; (c) integration of platforms for imaging, experimental psychology, and feedback with subjects in the scanner. Following successful attainment of these milestones, a further set of milestones are organized as an R33 proposal to demonstrate: (d) that these technologies can be applied to monitor modulation of brain signal and relative preference phenotype by subjects, (e) integration of modulation of brain signal and key press responses during realistic testing conditions, and (f) the application of these techniques to cocaine dependent subjects. We foresee these proof-of-concept milestones to be prerequisites for the future use of such a method in therapeutic trials. PUBLIC HEALTH RELEVANCE: This project will develop a method for individuals with addiction to self-modulate their brain responses and behavioral phenotype of drug preference. Specifically, real-time feedback from brain regions involved with altered judgment and decision-making around drug use, will be merged with quantitative measures of law-like patterns in preference behavior, so individuals can objectively apply behavioral therapy techniques to alter neural signatures of addiction.

描述（由申请人提供）：该项目将开发一种实时神经影像学和行为方法，通过这种方法，成瘾的人可以使用基于脑和关键的媒体反馈来调节其对药物提示的反应，并改变成瘾的大脑和行为特征。药物成瘾的特征是将奖励系统重组为短期快速奖励，对长期后果，冲动性的评估减少以及行为库的狭窄（即，在某种事物中表现出偏爱的事物的限制）。为了应对这些成瘾症状，一种治疗方法是通过适应行为疗法来开发敦促最小化技术。这些疗法技术传统上专注于成瘾的心理社会措施，这可能很难客观地量化或改变。成瘾神经科学的最新进展揭示了奖励/厌恶循环的强大变化以及成瘾中的实验心理学变量，可能与行为技术一起使用。具体而言，前额叶皮层的结构和功能性MRI度量指出，在成瘾者中的局部差异可以与基于密钥的基于媒体的相对偏好表型相连，以量化其限制其行为库的限制。技术和计算进步表明，这些神经科学措施可能是用于行为疗法的。为此，该项目列出了一组里程碑，作为R21的提议，以开发（a）基于单一和双素素谱的高SNR的技术工作流，用于高SNR，定量粗体激活测量； （b）基于行为和大胆信号的实时信号分析和显示用于向个人反馈的软件； （c）集成用于成像，实验心理学和反馈与扫描仪中的对象的平台。成功达到这些里程碑后，将进一步的里程碑组织为R33建议，以证明：（d）可以应用这些技术来监视受试者对大脑信号和相对偏好表型的调节，（e）在现实测试条件和（F）这些技术的应用程序中，大脑信号和关键响应的调制整合。我们预计这些概念验证里程碑将是将来在治疗试验中使用这种方法的先决条件。 公共卫生相关性：该项目将为成瘾的个体开发一种方法，以自我调制其大脑反应和药物偏爱的行为表型。具体而言，与毒品使用有关改变判断力和决策的大脑区域的实时反馈将与偏好行为中的法律样式的定量度量合并，因此个人可以客观地将行为治疗技术应用于改变成瘾的神经签名。