Understanding the Voice Control System in Parkinson's Disease

了解帕金森病的语音控制系统

• 批准号: 8690381
• 负责人: Sona Patel
• 金额: $ 12.75万
• 依托单位: SETON HALL UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-07-01 至 2017-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8690381
• 关键词: Acoustics; Area; Basal Ganglia; Behavioral; Biological Neural Networks; Brain; Characteristics; Clinical; Communication; Control Groups; Cues; Data; Detection; Diffuse; Disease; Disease model; Dopamine; Dysarthria; Electroencephalography; Elements; Emotional; Ensure; Environment; Equipment; Event-Related Potentials; Eye Movements; Feedback; Frequencies; Goals; Housing; Impairment; Individual; Investigation; Laboratories; Lead; Link; Literature; Measurement; Measures; Mentors; Modeling; Motor Cortex; Movement; Neural Pathways; Neurologic; Neurological Models; Outcome; Output; Parkinson Disease; Participant; Patients; Pharmaceutical Preparations; Plant Roots; Postdoctoral Fellow; Prevalence; Procedures; Process; Production; Regulation; Rehabilitation therapy; Reporting; Research; Research Personnel; Research Project Grants; Role; Saccades; Science; Scientist; Shadowing (Histology); Signal Transduction; Simulate; Source; Speech; Speech Disorders; Staging; Symptoms; System; Techniques; Testing; Time; Training; Translational Research; Universities; Voice; Voice Disorders; Voice Disturbances; Work; auditory feedback; design; feeding; frontal lobe; improved; innovation; motor control; nervous system disorder; neural circuit; neural model; neuromechanism; novel strategies; programs; public health relevance; relating to nervous system; research study; response; sensory feedback; sensory mechanism; signal processing; skills; theories; vocal control; vocalization; young adult

DESCRIPTION (provided by applicant): This proposal describes a 3 year research translational project program to obtain data that can serve as pilot data in a subsequent submission for a research project grant (R01) by the early stage investigator. The PI is a speech scientist with training in speech signal processing, emotional prosody and prosodic processing, acoustic modeling, and EEG/ERP techniques and is currently working in the area of voice control and motor speech disorders as a postdoctoral fellow at Northwestern University. She will now apply these skills to modeling the neural mechanisms underlying voice control in Parkinson's disease (PD). Environment: The Communication Sciences and Disorders Department at Northwestern University, a research-intensive university and department. As a postdoctoral fellow, the PI will be housed in her mentor's laboratory and has access to space, equipment, and a network of world-renowned scientists. Research: The long-term goal of this research is to understand the neural mechanisms controlling the voice and to extend these findings to people with neurogenic disorders of voice production. The short-term objective is to identify the neurological substrates of impaired vocal control in PD, specifically by testing for abnormal function of the efference copy mechanisms, model the underlying neural circuitry, and compare the results with healthy controls and with a clinical group having diffuse cortical impairment ("impaired controls"). The Specific Aims of the project are: 1) Identify the role of efference copy during voice source identification and error detection/correction in PD and model the neural circuitry and 2) Identify effects of pitch perturbations on volitional F0 modulation and differences in the neural pathways and EEG microstate characteristics. In this experiment, the vocalizations and brain activity (EEG/ERP, microstates) of individuals with Parkinson's disease will be examined when given small perturbations to the auditory feedback of their voice, specifically for the purpose of examining the control system wherein an efference copy of the intended vocal output is compared with the actual sensory feedback. This behavioral-neurological measurement strategy in addition to the sophisticated neurological modeling proposed-including dynamic causal modeling, coherence analysis, and EEG microstate analysis-is a novel approach to examining motor control. Also, the neural mechanisms of voice control that contribute to the voice disorder in PD, including feed forward (fast and automatic control) and feedback control (slow and reliant on sensory feedback) will be defined using a highly innovative paradigm that requires subjects to dynamically change their voice pitch to follow (or shadow) or oppose a pitch shift. Our preliminary data in PD compared to young adults support our hypotheses and warrant further experimentation. The results of these experiments will significantly advance our understanding of auditory feedback on voice control and vocal impairments in PD.

描述（由申请人提供）：本提案描述了一项为期3年的研究转化项目计划，以获得可作为早期研究者随后提交研究项目资助（R 01）的试点数据的数据。PI是一名语音科学家，接受过语音信号处理、情感韵律和韵律处理、声学建模和EEG/ERP技术方面的培训，目前在西北大学担任博士后研究员，从事语音控制和运动性语言障碍领域的工作。她现在将运用这些技能来模拟帕金森病（PD）语音控制的神经机制。环境：西北大学传播科学与疾病系，一所研究密集型大学和系。作为一名博士后研究员，PI将被安置在她导师的实验室，并可以使用空间，设备和世界知名科学家的网络。调研：这项研究的长期目标是了解控制声音的神经机制，并将这些发现扩展到患有神经源性发声障碍的人。短期目标是识别PD中发声控制受损的神经学基质，特别是通过测试传出复制机制的异常功能，模拟潜在的神经回路，并将结果与健康对照组和具有弥漫性皮质损伤的临床组（“受损对照”）进行比较。该项目的具体目标是：1）确定传出复制在PD声源识别和错误检测/纠正过程中的作用，并建立神经回路模型; 2）确定音高扰动对意志F0调制的影响， 神经通路和EEG微观状态特征的差异。在该实验中，当对帕金森氏病患者的声音的听觉反馈给予小的扰动时，将检查帕金森氏病患者的发声和脑活动（EEG/ERP，微观状态），特别是为了检查控制系统，其中将预期的声音输出的传出副本与实际的感觉反馈进行比较。这种行为神经测量策略，除了提出复杂的神经建模，包括动态因果建模，相干性分析，和EEG微观状态分析，是一种新的方法来检查电机控制。此外，语音控制的神经机制，有助于语音障碍的PD，包括前馈（快速和自动控制）和反馈控制（缓慢和依赖于感官反馈）将被定义使用一个高度创新的范式，要求受试者动态改变他们的声音音高跟随（或阴影）或反对音高变化。与年轻人相比，我们在帕金森病中的初步数据支持我们的假设，并值得进一步实验。这些实验的结果将显着推进我们的理解听觉反馈的语音控制和语音障碍的PD。