Project 3: Emotions

摘要 该项目应用基础情感科学方法论来评估慢性阻塞性肺疾病患者的社会情绪功能。 额颞性痴呆(FTD)和阿尔茨海默病(AD)。通过测量多个情绪过程 (反应性、调节性和认知性)、类型(积极、消极、自觉的情绪)和反应 系统(主观体验、表达行为、外周生理、情感语言)，我们获得 对社会情绪功能的异常全面和精细的评估。使用这种方法， 我们已经确定了社会情绪功能的特定方面，这些方面在FTD谱之间有所区别 疾病、阿尔茨海默病和正常衰老。这一评估也非常适合于与 来自结构神经成像和死后神经病理学的解剖数据。在下一个项目中 在此期间，我们将扩大这项研究以包括：(A)患有严重抑郁障碍(MDD)的精神病患者 以及双相情感障碍(BD)，这也会导致社会情绪功能的变化，并可能 在晚年很难与痴呆症区分；(B)社会/人际功能的其他衡量标准 情绪反应的领域(骄傲，一种从复杂的社会比较中产生的情绪)，调节 (对与照顾者在场相关的压力反应的社会下调)，以及认可 (对自己情绪的持续评级，承认舒适的人际距离)；(C)新措施 自主神经系统功能(胃活动)和内脏意识(胃充盈)； 对患者现实社会情绪功能的纵向评估；和(E)附加成像 测量方法(tau和淀粉样蛋白蓄积的PET分析和功能的电路重点评估 连通性。我们将追求三个具体目标：目标1.社会/人际功能。我们将利用我们的 扩大对社会/人际功能的评估，以确定社会/人际功能的特征 FTD-谱系障碍，AD，MDD和BD；目的2。诊断困难。我们将确定最佳的 来自我们实验室的预测因子-社会情绪功能评估用于区分 FTD、AD、MDD和BD。目标3.大脑与行为的关系。我们将描述与之相关的大脑回路 在情绪反应、调节和认知的特定方面存在缺陷。本项目的创新之处 包括：(A)应用基本情感科学方法论来描述社会和情绪功能 痴呆症和心境障碍患者；(B)使用具有较强标准的分类分析技术 采取措施(最先进的临床诊断，并在可能的情况下，尸检确认的诊断)以确定 提高诊断准确率的最佳预测因子组；以及(C)研究大脑-行为关系 使用与解剖学数据相关联的情绪反应、调节和识别的细粒度测量 来自MRI和PET成像、功能连接分析和基于尸检的神经病理学 重点放在有选择地脆弱的大脑区域。

ABSTRACT This project applies basic affective science methodology to assess socioemotional functioning in patients with frontotemporal dementia (FTD) and Alzheimer's disease (AD). By measuring multiple emotion processes (reactivity, regulation, and recognition), types (positive, negative, self-conscious emotions), and response systems (subjective experience, expressive behavior, peripheral physiology, emotional language), we obtain an unusually comprehensive and fine-grained assessment of socioemotional functioning. Using this approach, we have identified particular aspects of socioemotional functioning that distinguish among FTD-spectrum disorders, AD, and normal aging. This assessment has also been well-suited for establishing links with anatomical data derived from structural neuroimaging and post-mortem neuropathology. In the next project period, we will expand this research to include: (a) psychiatric patients with major depressive disorder (MDD) and bipolar affective disorder (BD), which also produce changes in socioemotional functioning and can be difficult to distinguish from dementia in late life; (b) additional measures of social/interpersonal functioning in the realms of emotional reactivity (pride, an emotion that arises from complex social comparisons), regulation (social down-regulation of response to stress associated with presence of caregiver), and recognition (continuous ratings of one's own emotions, recognizing comfortable interpersonal distance); (c) new measures of autonomic nervous system functioning (stomach activity) and visceral awareness (gastric filling); (d) longitudinal assessments of patients' real-world socioemotional functioning; and (e) additional imaging measures (PET assays of tau and amyloid accumulation and circuit-focused assessment of functional connectivity. We will pursue three specific aims: Aim 1. Social/Interpersonal functioning. We will utilize our expanded assessment of social/interpersonal functioning to characterize social/interpersonal functioning in FTD-spectrum disorders, AD, MDD, and BD; Aim 2. Difficult diagnoses. We will identify optimal groups of predictors from our laboratory-assessment of socioemotional functioning for distinguishing among patients with FTD, AD, MDD, and BD. Aim 3. Brain-behavior relationships. We will delineate brain circuitry associated with deficits in specific aspects of emotional reactivity, regulation, and recognition. Innovations of this project include: (a) applying basic affective science methodology to characterize social and emotional functioning in patients with dementia and mood disorders; (b) using classification analysis techniques with strong criterion measures (state-of-the-art clinical diagnoses, and, when possible, autopsy-confirmed diagnoses) to identify optimal groups of predictors for increasing diagnostic accuracy; and (c) studying brain-behavior relationships using fine-grained measures of emotional reactivity, regulation, and recognition linked with anatomical data derived from MRI and PET imaging, functional connectivity analyses, and autopsy-based neuropathology focused on selectively vulnerable brain regions.