Using MaqFACS to measure facial movement deficits in monkeys

使用 MaqFACS 测量猴子的面部运动缺陷

• 批准号: 8190085
• 负责人: LISA A. PARR
• 金额: $ 26.4万
• 依托单位: EMORY UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-08-15 至 2013-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8190085
• 关键词: Adult; Affect; Animal Model; Antiparkinson Agents; Award; Behavior; Behavioral; Belief; Bradykinesia; Certification; Chronic; Clinical; Code; Corpus striatum structure; Data; Development; Disease; Dopamine Agonists; Dose; Effectiveness; Emotional; Ensure; Exposure to; Face; Facial Expression; Facial Muscles; Functional disorder; Funding; Goals; Gold; Human; Hypokinesia; Impairment; Individual; Laboratories; Macaca mulatta; Manuals; Masks; Measurement; Measures; Mental disorders; Methods; Modeling; Monitor; Monkeys; Motor; Movement; Movement Disorders; Neurodegenerative Disorders; Parkinson Disease; Parkinsonian Disorders; Posture; Primates; Procedures; Publishing; Recovery of Function; Research; Research Personnel; Services; Severities; Study models; Symptoms; System; Testing; Training; Tremor; United States National Institutes of Health; Video Recording; base; behavior rating scale; cost; dopaminergic neuron; early onset; effective therapy; interdisciplinary collaboration; interest; movie; pramipexol; response; social; standard measure; tool

DESCRIPTION (provided by applicant): Parkinson's Disease (PD) is a progressive neurodegenerative disorder caused by a depletion of dopamine (DA) neurons in the striatum. Its major symptoms are movement- related, including tremors, bradykinesis, stooped posture, and masked facial affect. There are several monkey models for studying the pathophysiology of PD. The most widely used involves a MPTP, a substance that is toxic to dopaminergic neurons and very accurately mirrors the underlying cause, symptoms and progression of PD in humans. To assess the motor-related impairments in MPTP monkeys, researchers have adapted traditional clinical rating systems, but until recently, no standardized measurement system has been available to assess deficits in facial expressivity, despite this being a debilitating symptom of PD in humans. The FACS (Facial Action Coding System) is the gold standard for measuring facial movement in humans. FACS is anatomically-based as it identifies facial movement according to the underlying action of facial muscles. Researchers have used FACS to reveal deficits in both the type and intensity of facial expressions made by people with PD. Investigators have recently developed a monkey FACS (MaqFACS) and pilot data in MPTP monkeys suggest that this system may be a more sensitive measure of early onset PD than traditional rating systems. This project will directly assess the effectiveness of MaqFACS, compared to other rating systems (activity monitoring and a behavioral rating scale), in characterizing the progression of PD symptoms in MPTP-treated monkeys. Facial movement will be video recorded and then coded using MaqFACS during baseline sessions as well as two emotional provocations (exposure to a mirror and response to movies of other monkeys) to evoke facial expressivity. Inter-individual variability in facial movement will be quantified and changes in the type and amount of facial movement will be compared across the MPTP-treatment progression. The PD monkeys will then be given a DA agonist to reverse their symptoms and recovery of function will be assessed using the same testing and measurement procedures. These data will validate the effectiveness of MaqFACS in identifying the early onset of PD symptoms in the most common monkey model of PD and aid in the development of effective treatments. PUBLIC HEALTH RELEVANCE: Deficits in facial expressivity represent a core feature of numerous psychiatric and neurodegenerative disorders in humans, such as Parkinson's disease. Animal models for studying these disorders would benefit greatly from a standardized measurement system for quantifying these facial movement deficits. A recently developed system, the MaqFACS, proves to be such a system and this project aims to validate the usefulness of MaqFACS to quantify facial movement deficits in a monkey model of Parkinson's disease.

描述（由申请人提供）：帕金森病（PD）是一种进行性神经退行性疾病，由纹状体中多巴胺（DA）神经元耗竭引起。其主要症状与运动有关，包括震颤、运动迟缓、弯腰姿势和面部表情变化.有几种猴模型用于研究PD的病理生理学。最广泛使用的是MPTP，一种对多巴胺能神经元有毒的物质，非常准确地反映了人类PD的根本原因，症状和进展。为了评估MPTP猴子的运动相关障碍，研究人员采用了传统的临床评级系统，但直到最近，还没有标准化的测量系统来评估面部表情的缺陷，尽管这是人类PD的一种衰弱症状。FACS（面部动作编码系统）是测量人类面部运动的黄金标准。FACS是基于解剖学的，因为它根据面部肌肉的潜在动作来识别面部运动。研究人员使用流式细胞仪来揭示PD患者面部表情的类型和强度的缺陷。研究人员最近开发了一种猴流式细胞仪（MaqFACS），MPTP猴中的试验数据表明，该系统可能是比传统评级系统更敏感的早发性PD指标。该项目将直接评估MaqFACS与其他评级系统（活动监测和行为评级量表）相比在表征MPTP治疗猴中PD症状进展方面的有效性。面部运动将被视频记录，然后在基线会话期间使用MaqFACS进行编码，以及两次情绪刺激（暴露于镜子和对其他猴子电影的反应）以唤起面部表情。将量化面部运动的个体间变异性，并将在MPTP治疗进展中比较面部运动的类型和量的变化。然后给予PD猴DA激动剂以逆转其症状，并使用相同的测试和测量程序评估功能恢复。这些数据将验证MaqFACS在最常见的PD猴模型中识别PD症状早期发作的有效性，并有助于开发有效的治疗方法。 公共卫生相关性：面部表情的缺陷代表了人类许多精神和神经退行性疾病的核心特征，如帕金森病。用于研究这些疾病的动物模型将大大受益于用于量化这些面部运动缺陷的标准化测量系统。最近开发的系统，MaqFACS，被证明是这样一个系统，该项目的目的是验证MaqFACS的有用性，以量化面部运动缺陷的帕金森氏病的猴子模型。