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

项目摘要/摘要 最近的研究越来越多地将口吃与大脑皮质异常的神经网络结构和功能联系起来。 语言运动和听觉区域，以及与皮质下结构的连接。这些网络支持细微的- 对内部定时和精确的运动进行精细控制，以流畅地产生语音和 与节奏处理网络重叠。口吃被认为与听觉-运动整合不良有关， 大脑中听觉信号和语音信号之间的不同步。向小说迈进了一步， 从彻底了解这种异常神经回路中衍生出来的基于神经科学的治疗是第一个 测量口吃(AWS)成年人和流利说话者的听觉-运动同步性。我们将使用一种创新的 语音自发同步(SSS)任务被证明是听觉运动时间动力学的指标 通过隐性语音同步在流利的成年人中整合。从一种假设开始--听力不佳- 运动整合可能是一种因果和治疗相关的途径，并走向新的干预 发展，我们的下一步和这项研究的总体目标是使用SSS任务来调查时间 在言语产生的背景下，口吃者听觉-运动整合的动力学。中环 假设AWS和CWS与流利的同龄人相比表现出较差的隐含语音同步。这个 拟议的研究的基本原理是，如果AWS和CWS显示的隐式语音同步比 流利的同行，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AWS和FLUENT的隐式语音同步 同伴们。我们假设AWS将表现出比流利的成年人更差的同步性。2.比较隐含 AWS和流利成年人的语音同步与显性语音和非语音同步。如果AWS 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在同步方面存在仅限于语音的选择性缺陷，它们将 表现出比流利的成年人更差的内隐和外显语音同步。如果AWS中的同步较差 反映一种可通过显式同步指令克服的隐式效果，则它们将表现得更差 与流利的成年人相比，隐含但不是显式的语音同步；AWS和 在非语音同步任务中，流利的成年人是被期望的。3.比较隐式语音同步在 流利的孩子和CWS。我们将扩展SSS范式，以(A)建立可行性和响应分布 在流利的孩子和CWS中。预期的结果是更好地理解听觉的时间方面- 运动整合有助于发育性口吃。最终，我们的目标是确定那些同步的人 集中治疗将是最有效的，为提供有效治疗方面的挑战提供新的解决方案 对口吃的神经生理学基础有更深入的了解。

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.