Imaging sensorimotor adaptation and compensation of speech

成像感觉运动适应和言语补偿

• 批准号: 9302733
• 负责人: John Francis Houde
• 金额: $ 33.68万
• 依托单位: UNIVERSITY OF CALIFORNIA, SAN FRANCISCO
• 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 2019-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9302733
• 关键词: Adaptive Behaviors; Applications Grants; Apraxias; Area; Articulators; Assessment tool; Associative aphasia; Auditory; Automobile Driving; Behavior; Behavioral; Brain region; Categories; Conflict (Psychology); Development; Diagnosis; Dysarthria; Electrocorticogram; Feedback; Financial compensation; Functional disorder; Goals; Grant; Human; Image; Impairment; Knowledge; Lead; Magnetoencephalography; Mediating; Methods; Modeling; Monitor; Motor; Movement; Numbness; Oral cavity; Output; Parkinson Disease; Patients; Perception; Photic Stimulation; Play; Positioning Attribute; Process; Production; Quality of life; Role; Sensory; Social Functioning; Social Impacts; Spastic Dysphonias; Speech; Speech Perception; Speech Sound; Stuttering; System; Testing; Time; Touch sensation; Translating; Visual; analog; attenuation; auditory feedback; behavioral response; effective therapy; experimental study; improved; innovation; mind control; motor control; neural circuit; neural correlate; neural model; neuromechanism; oral communication; physical process; prototype; public health relevance; relating to nervous system; response; signal processing; somatosensory; sound; support network; tool; touchscreen; treatment strategy; visual control; visual feedback; visual stimulus; vocal cord

DESCRIPTION (provided by applicant): The motor act of speaking is the last and crucial step in the process of translating intended messages into the physical processes that convey those messages, i.e. the movements of articulators resulting in producing intended vocal sounds. Surprisingly many aspects of this process remain poorly understood, in particular, the role of feedback processing in controlling speech. Deficits in feedback processing are implicated in major speech impairments including stuttering, conduction aphasia, spasmodic dysphonia, and apraxia of speech. However, due to a paucity of testable models, and a lack of well-established methods, little is understood about the neural mechanisms underlying auditory feedback control in speech. In this grant application, we extend a quantitative model for speech motor control called state-feedback control (SFC) that we have previously developed. SFC posits that the brain controls speech using internal predictions of the state of the vocal tract and of the sensory consequences of speaking. The SFC model accounts for many behavioral and neural phenomena in speech motor control, including two key behavioral responses to unexpectedly altered auditory feedback - compensation and adaptation. Compensation refers to short-term changes in speech output in response to feedback alteration. Adaptation refers to long-term changes in speech output that persist even after the feedback alteration is removed. Here, we propose to use state-of-the-art methods for magnetoencephalographic imaging (MEGI) and electrocorticography (ECOG) in conjunction with cutting-edge methods of quantitative modeling (Bayesian estimation) and behavioral experimentation (real-time speech feedback alteration, audiomotor studies with a touch-screen, speech controlled visual stimulation). Our goals are to further elaborate our SFC model of speech motor control and examine what aspects of speech constrain its adaptation behavior. The specific aims are to: 1) determine the neural correlates of sensorimotor adaptation in speech; 2) determine the role of somatosensory feedback in compensation and adaptation; and 3) isolate perceptual contributions to speech compensation and adaptation. The proposed studies will refine our SFC model of speech motor control, increase its predictive power, and examine what specific aspects of speech constrain its compensation and adaptation behaviors. Such an understanding of the neural basis of speaking has the potential to develop better treatments of dysfunctions of speech motor control such as stuttering, conduction aphasia, spasmodic dysphonia, apraxia of speech, spas and hypophonic dysarthria in Parkinson's disease.

描述（由申请人提供）：说话的动作动作是将预期信息转化为传递这些信息的物理过程的最后和关键步骤，即发音器的运动产生预期的声音。令人惊讶的是，这一过程的许多方面仍然知之甚少，特别是反馈处理在控制言语中的作用。反馈处理的缺陷与主要的言语障碍有关，包括口吃、传导性失语、痉挛性语音障碍和言语失用。然而，由于缺乏可测试的模型，以及缺乏完善的方法，人们对语音听觉反馈控制的神经机制知之甚少。在这项拨款申请中，我们扩展了我们之前开发的语音运动控制的定量模型，称为状态反馈控制（SFC）。SFC认为，大脑通过对声道和感官状态的内部预测来控制语言