Masked Faces in Parkinson Disease: Mechanism & Treatment

帕金森病中的蒙面面孔：机制

• 批准号: 6992754
• 负责人: Dawn Bowers
• 金额: $ 31.71万
• 依托单位: UNIVERSITY OF FLORIDA
• 依托单位国家: 美国
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-12-15 至 2008-11-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6992754
• 关键词: Parkinson' s disease; behavior therapy; bioimaging /biomedical imaging; clinical research; digital imaging; dopamine; emotions; eye movements; face expression; facial muscles; head movements; human subject; human therapy evaluation; muscle function; nervous system disorder therapy; paralinguistic behavior; patient oriented research; pulmonary respiration

DESCRIPTION (provided by applicant): The overall goal of this research is to improve understanding of nonverbal communication disorders among patients with neurologic disease. Facial expressions are complex signals that are brief, last only a few minutes and important for communicating intention, motivation, and emotional states. In humans a variety of neurologic and psychiatric conditions alter the propensity to use facial signals. In fact, diminished facial expressivity, or the "masked face" is one of the cardinal features of Parkinson's disease, a neurodegenerative basal ganglia disorder that primarily affects older adults. Classically, it has been held that Parkinson's disease represents a "model system" for impairing spontaneous (limbic) facial emotions, whilst leaving intentionally posed (cortical) facial expressions intact. Preliminary data, using computer imaging methods to quantify dynamic movement changes over the face, tentatively suggests that this dissociation may be unfounded (Bowers et al., in press). The purpose of the proposed research is to apply computing imaging methods to learn: (a) whether diminished facial expressivity among Parkinson patients involves modulatory defects that influence both volitional and spontaneous emotions; (b) whether these modulatory defects are related to dopaminergic deficiency, and (c) which parameters of facial expressivity (timing, frequency, entropy) are improved by a behavioral intervention for treating respiratory strength in PD. Taken together, the findings from this study may facilitate understanding of the mechanisms underlying diminished facial expressivity in Parkinson's disease and provide information that may ultimately be useful in the treatment of nonverbal communication disturbances.

描述（由申请人提供）：本研究的总体目标是提高对神经系统疾病患者非语言交流障碍的理解。面部表情是一种复杂的信号，它很简短，只持续几分钟，对于传达意图、动机和情绪状态很重要。在人类中，各种神经和精神状况会改变使用面部信号的倾向。事实上，面部表情减少，或“蒙面脸”是帕金森病的主要特征之一，帕金森病是一种主要影响老年人的神经退行性基底神经节疾病。传统上，人们认为帕金森氏病代表了一个“模型系统”，用于损害自发的（边缘系统）面部情绪，同时使故意构成的（皮层）面部表情完好无损。使用计算机成像方法来量化面部动态运动变化的初步数据初步表明，这种分离可能是没有根据的（Bowers等人，印刷中）。这项研究的目的是应用计算机成像方法来了解：（a）帕金森患者面部表情的减少是否涉及影响意志和自发情绪的调节缺陷;（B）这些调节缺陷是否与多巴胺能缺乏有关，以及（c）面部表情的哪些参数通过用于治疗PD中的呼吸强度的行为干预来改善呼吸强度（定时、频率、熵）。总之，这项研究的结果可能有助于理解帕金森病面部表情减少的机制，并提供最终可能有助于治疗非语言交流障碍的信息。