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: 10200474
• 负责人: Emily O'Dell Garnett
• 金额: $ 16.7万
• 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/10200474
• 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; 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.

项目总结/文摘