Integrating facial coding of expressive behavior and functional MRI: A multimodal approach linking momentary affective experience to concurrent changes in brain activity during drug craving

整合表达行为的面部编码和功能性 MRI：一种将瞬时情感体验与药物渴望期间大脑活动的并发变化联系起来的多模式方法

基本信息

批准号：
9901499
负责人：
Stephen Jeffrey Wilson
金额：
$ 19.98万
依托单位：
PENNSYLVANIA STATE UNIVERSITY, THE
依托单位国家：
美国
项目类别：
财政年份：
2019
资助国家：
美国
起止时间：
2019-04-01 至 2023-03-31
项目状态：
已结题

项目摘要

Functional neuroimaging has become a widely used approach for studying substance use and addiction. This is particularly true in the area of research on cigarette smoking, which remains one of the largest threats to public health in the world. Neuroimaging research on the use of cigarettes and other substances has focused largely on characterizing brain activity associated with drug craving (an intense urge or desire to use drugs). This reflects the prevailing view that craving plays a central role in the maintenance of addiction and serves as a major barrier to treatment and recovery. Over the past several years, researchers using neuroimaging to study craving have benefitted from a number of significant methodological advances (e.g., increasingly sophisticated data analysis methods). However, the methods that are used for subjective affective experience have changed very little, and investigators must largely rely upon the same self-report measures that have been available since the earliest days of neuroimaging craving research. Used in isolation, self-report measures typically lack the sensitivity and precision that are needed to relate momentary affective experience to craving-related brain activity – an important limitation given the intimate relationship between craving and affect. The goal of the proposed research is to address this barrier to progress in the field by developing a novel method for measuring subjective affective experience in neuroimaging craving research that harnesses the unique strengths of facial expression analysis. Specifically, this method entails recording participants' facial expressions using a magnetic resonance imaging (MRI) compatible camera and then using facial coding analysis to derive a time course of affective reactions from the videos. By providing a way to unobtrusively capture moment-to-moment changes in affect, facial coding is an ideal method for connecting fluid affective reactions to dynamic changes in brain activity in the context of craving. The proposed strategy of integrating the assessment of facial expressions of affect with neuroimaging methods will be tested in a sample of adult daily smokers. Facial expressions will be recorded as participants complete a functional MRI (fMRI) protocol that has proven to be highly effective for provoking strong cigarette cravings. The specific aims of the project are: 1) To demonstrate the feasibility of measuring affect by analyzing video recordings of facial expressions displayed during fMRI; and 2) To demonstrate that moment-to-moment changes in affect are meaningfully associated with ongoing brain activity under conditions designed to produce robust craving. If successful, the proposed project will provide a foundation for using this new method to explore a variety of questions that are currently very difficult to address (e.g., characterizing how affect changes dynamically in relation to brain activity when smokers attempt to regulate their craving). Accordingly, this comprehensive and multimodal approach to assessment has the potential to make a major impact by providing new insights into the links between brain activity and affect in the domain of drug addiction and in many other areas, more broadly.

功能性神经影像学已成为一种广泛研究物质使用和成瘾的方法。这在关于吸烟的研究领域尤其如此，这仍然是最大的威胁之一世界上的公共卫生。关于使用香烟和其他物质的神经影像学研究已集中在很大程度上表征了与渴望药物有关的大脑活动（强烈的渴望或使用药物的渴望）。这反映了渴望在维持成瘾中起着核心作用的普遍观点，并作为治疗和恢复的主要障碍。在过去的几年中，研究人员使用神经影像学研究的渴望受益于许多重大的方法学进步（例如，越来越多的复杂的数据分析方法）。但是，用于主观情感体验的方法变化很小，调查人员必须在很大程度上依赖于具有的自我报告措施自神经影像渴望研究的最早时期就可以使用。孤立地使用自我报告措施通常缺乏相关瞬时情感体验所需的敏感性和精度渴望与大脑相关的活动 - 鉴于渴望与影响。拟议的研究的目的是通过开发一个来解决该领域进步的障碍测量主观情感经验的新方法面部表达分析的独特优势。具体而言，这种方法需要记录参与者的面部使用磁共振成像（MRI）兼容摄像头的表达式，然后使用面部编码分析以从视频中得出情感反应的时间过程。通过提供一种不显眼的方法捕获情感的力矩变化，面部编码是连接流体情感的理想方法在渴望的背景下，对大脑活动的动态变化的反应。拟议的整合策略通过神经成像方法评估情感表达的评估将在成人样本中进行测试每日吸烟者。面部表情将记录为参与者完成功能性MRI（fMRI）协议事实证明，这对于激发强烈的香烟渴望非常有效。项目的具体目的是：1）通过分析面部表情的视频记录来证明测量影响的可行性在fMRI期间展示； 2）证明情感的时刻变化是有意义的在旨在产生强大渴望的条件下，与持续的大脑活动相关。如果成功，拟议的项目将为使用这种新方法探索各种问题提供基础目前很难解决（例如，表征影响方式与大脑动态变化的变化当吸烟者试图调节自己的渴望时）。根据这种全面和多模式评估方法有可能通过提供有关链接的新见解来产生重大影响在药物成瘾领域和许多其他地区的大脑活动和影响之间，更广泛地。