Spontaneous synchronization to speech as a window into auditory motor integration in stuttering

语音自发同步作为口吃中听觉运动整合的窗口

• 批准号: 10398164
• 负责人: Emily O'Dell Garnett
• 金额: $ 15.29万
• 依托单位: UNIVERSITY OF MICHIGAN AT ANN ARBOR
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-07-01 至 2024-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10398164
• 关键词: Address; Adult; Affect; Alpha Rhythm; American; Auditory; Auditory area; Behavioral; Brain; Brain region; Child; Communication; Development; Developmental Stuttering; Exhibits; Failure; Foundations; Future; Grain; Hearing; Individual; Instruction; Investigation; Lead; Link; Measures; Modeling; Motor; Movement; Neurobiology; Neurosciences; Outcome; Pathway interactions; Periodicity; Persons; Production; Research; Series; Signal Transduction; Speech; Stimulus; Structure; Stuttering; System; Testing; base; early childhood; effective therapy; indexing; innovation; internal control; neural circuit; neural network; neurophysiology; novel; peer; response; support network; therapy development

Project Summary/Abstract Recent studies have increasingly linked stuttering to aberrant neural network structure and function in cortical speech motor and auditory areas, and connections with subcortical structures. These networks support fine- grained control of internally timed and precise motor movements required for fluent speech production and overlap with a rhythm processing network. Stuttering is hypothesized to involve poor auditory-motor integration, a failure of synchronization between auditory and speech signals in the brain. One step towards novel, neuroscience-based treatments derived from a thorough understanding of this abnormal neural circuitry is first to measure auditory-motor synchrony in adults who stutter (AWS) and fluent speakers. We will use an innovative spontaneous synchronization of speech (SSS) task shown to index temporal dynamics of auditory-motor integration in fluent adults via implicit speech synchronization. Starting from the hypothesis that poor auditory- motor integration may be a causal and treatment-relevant pathway and moving towards new intervention development, our next step and overall objective of this study is to use the SSS task to investigate temporal dynamics of auditory-motor integration in the context of speech production people who stutter. The central hypothesis is that AWS and CWS will exhibit poor implicit speech synchronization compared to fluent peers. The rationale of the proposed study is if AWS and CWS show poorer implicit speech synchronization compared to fluent peers, this will constitute further evidence that abnormal auditory-motor integration is a core component of stuttering. We will test the following specific aims. 1. Compare implicit speech synchronization AWS and fluent peers. We hypothesize that AWS will exhibit poorer synchronization than fluent adults. 2. Compare implicit speech synchronization with explicit speech and non-speech synchronization in AWS and fluent adults. If AWS have a general deficit in synchronization, they will show poorer synchronization in speech and non-speech tasks compared to fluent adults. If AWS have a selective deficit in synchronization that is limited to speech, they will show poorer implicit and explicit speech synchronization than fluent adults. If poorer synchronization in AWS reflects an implicit effect that can be overcome with explicit synchronization instructions, they will show poorer implicit, but not explicit speech synchronization, compared to fluent adults; no difference between AWS and fluent adults is expected in non-speech synchronization tasks. 3. Compare implicit speech synchronization in fluent children and CWS. We will extend the SSS paradigm to (a) establish feasibility and response distribution in fluent children and CWS. The expected outcome is a better understanding of how temporal aspects of auditory- motor integration contribute to developmental stuttering. Ultimately, we aim to identify those for whom synchrony focused treatments will be most effective, offering new solutions to the challenges in providing effective therapy that are informed by a greater understanding of the neurophysiological bases of stuttering.

项目概要/摘要 最近的研究越来越多地将口吃与皮质神经网络结构和功能异常联系起来。 言语运动和听觉区域，以及与皮层下结构的连接。这些网络支持精细 对流利的语音产生所需的内部定时和精确的电机运动进行精细控制 与节奏处理网络重叠。据推测，口吃与听觉运动整合不良有关， 大脑中听觉和言语信号之间的同步失败。迈向小说一步， 首先是基于对这种异常神经回路的彻底了解而得出的基于神经科学的治疗方法 测量口吃 (AWS) 和流利说话的成年人的听觉运动同步性。我们将使用创新的 语音自发同步（SSS）任务显示出听觉运动时间动态的索引 通过隐式语音同步在流利的成人中进行整合。从听觉不佳的假设开始—— 运动整合可能是一个因果和治疗相关的途径，并正在走向新的干预 的发展，我们的下一步和本研究的总体目标是使用 SSS 任务来调查时间 口吃者在言语产生的背景下听觉运动整合的动态。中央 假设与流利的同行相比，AWS 和 CWS 表现出较差的隐式语音同步。这 拟议研究的基本原理是，与相比，AWS 和 CWS 是否表现出更差的隐式语音同步 流利的同龄人，这将进一步证明异常的听觉运动整合是 口吃。我们将测试以下具体目标。 1. 比较隐式语音同步AWS和Fluent 同行。我们假设 AWS 的同步性会比流利的成年人差。 2. 隐式比较 AWS 和流利成人中的显式语音和非语音同步的语音同步。如果AWS 普遍存在同步缺陷，他们在语音和非语音任务中表现出较差的同步性 与流利的成年人相比。如果 AWS 在同步方面存在选择性缺陷（仅限于语音），那么它们将 与流利的成年人相比，他们的内隐和外显言语同步性较差。如果 AWS 中的同步较差 反映了可以通过显式同步指令克服的隐式效应，它们将显示较差 与流利的成年人相比，言语同步是隐性的，但不是明确的； AWS 和 之间没有区别 成年人在非语音同步任务中预计会流利。 3. 比较隐式语音同步 流利的儿童和 CWS。我们将扩展 SSS 范式以 (a) 建立可行性和响应分布 流利儿童和 CWS。预期的结果是更好地理解听觉的时间方面如何 运动整合会导致发育性口吃。最终，我们的目标是找出那些同步性的人 集中治疗将是最有效的，为提供有效治疗的挑战提供新的解决方案 这是通过对口吃的神经生理学基础有更深入的了解而获得的。