Real-time differences in sensorimotor integration for speech perception between stuttering and non-stuttering populations
口吃和非口吃人群言语感知感觉运动整合的实时差异
基本信息
- 批准号:8868515
- 负责人:
- 金额:$ 22.76万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2015
- 资助国家:美国
- 起止时间:2015-04-05 至 2017-03-31
- 项目状态:已结题
- 来源:
- 关键词:AcousticsAdultAdult StutteringAffectAmericanAreaCharacteristicsChildCommunicationCommunication impairmentDataDevelopmental StutteringDisabled PersonsDiscriminationDiseaseElderlyElectrodesElectroencephalographyEventFeedbackFunctional disorderGenerationsGoalsLeftLongitudinal StudiesMapsMeasuresMental HealthModelingMotorNatureOutcomeOutcome MeasurePerceptionPopulationProductionProtocols documentationRecoveryRecruitment ActivityResearchResearch DesignRiskSensoryShort-Term MemorySourceSpeechSpeech DiscriminationSpeech PerceptionStimulusStutteringTechniquesTestingTimeauditory feedbackbasecomparison groupdisabilityhandicapping conditionindependent component analysisindexingneural modelneuropathologyneurophysiologynovelpublic health relevancerelating to nervous systemresearch studysensory feedbackspeech accuracystuttering therapytool
项目摘要
DESCRIPTION (provided by applicant): Stuttering is a debilitating communicative disorder, still without a known cause or cure. It is attributed to compromised sensorimotor integration (SMI) in speech, specifically dysfunction in premotor /motor areas associated with producing internal models for speech production and perception and integrating feedback from sensory regions. It is not well understood how stuttering alters SMI for speech perception as there is a paucity of data of time-sensitive measures of SMI in speech / tone discrimination from people who stutter. The goal of the proposed research is to use electroencephalography (EEG) to identify real-time differences in SMI between fluent and stuttering populations in speech / tone discrimination tasks that characterize stuttering. The proposed studies are intended to lay the groundwork for long term research intent on establishing an economical and efficient means of identifying risk for stuttering in young children, as well as identifying functional cortical reorganization related to therapy for stuttering. Specifically, we will measure real-time oscillatoy differences of motor and sensory contributions to SMI between stuttering and fluent speakers that will be identified by measuring changes in spectral power in the alpha and beta bands of EEG mu (µ) rhythms, which we have previously established to index SMI in speech perception. The µ rhythm is characterized by two distinct bands of energy, one at ~10 Hz and one at ~20 Hz, with changes in spectral power representing sensory and motor contributions to SMI, respectively. It typically is localized to regions of the cortex associated with SMI. Motor (e.g., internal modeling) and sensory (e.g., feedback from auditory regions) activity across the time course of acoustic events will be mapped using event-related spectral perturbation analysis. In two experiments, data will be obtained from adults who stutter and adults who do not stutter and children who stutter and children who have recovered from stuttering. The first experiment will compare discrimination ability in addition to the strength and timing of motor and sensory contributions to SMI in quiet and noisy syllable and tone discrimination tasks between the two groups of adults. The second experiment will compare discrimination ability in addition to the strength and timing of motor and sensory contributions to SMI in speech discrimination tasks and comparable tone discrimination tasks in children who stutter and those who have recovered from stuttering. Successful completion of this project will impact the understanding of the neuropathology of stuttering by providing a sensitive neural marker of the disorder, identifiable via speech perception. It will provide the impetus for developing translational long-term studies designed to further assess the use of this protocol as an economical and efficient litmus test for stuttering in young children. It is the first step in developing a tool to predict risk of stutterig and persistence versus recovery from developmental stuttering in young children. In addition, it supplies an outcome measure of functional cortical re-organization following therapy for persistent stuttering.
描述(由申请人提供):口吃是一种使人衰弱的交流障碍,仍然没有已知的原因或治疗方法。这是由于言语中的感觉运动整合(SMI)受损,特别是与产生言语产生和感知的内部模型以及整合来自感觉区域的反馈相关的运动前区/运动区功能障碍。目前还不清楚口吃是如何改变SMI的言语感知,因为口吃者的言语/音调辨别中SMI的时间敏感性措施的数据很少。拟议的研究的目标是使用脑电图(EEG),以确定实时的差异,流利和口吃人群之间的语音/音调辨别任务,口吃的特点SMI。拟议的研究旨在为长期研究奠定基础,旨在建立一种经济有效的方法来识别幼儿口吃的风险,以及识别与口吃治疗相关的功能性皮层重组。具体来说,我们将测量口吃者和流利说话者之间运动和感觉对SMI的贡献的实时可测量性差异,这将通过测量EEG μ(μ)节律的α和β波段的频谱功率变化来识别,我们之前已经建立了语音感知中的SMI指数。µ节律的特征在于两个不同的能量带,一个在~10 Hz,一个在~20 Hz,频谱功率的变化分别代表对SMI的感觉和运动贡献。它通常位于与SMI相关的皮质区域。马达(例如,内部建模)和感觉(例如,来自听觉区域的反馈)活动将使用事件相关的频谱扰动分析来映射声学事件的时间过程。在两个实验中,将从口吃的成年人和不口吃的成年人以及口吃的儿童和从口吃中恢复的儿童中获得数据。第一个实验将比较两组成年人在安静和嘈杂的音节和音调辨别任务中的辨别能力以及运动和感觉对SMI的贡献的强度和时间。第二个实验将比较的识别能力,除了强度和时间的运动和感觉的贡献SMI在言语歧视任务和可比的音调歧视任务的儿童谁口吃和那些谁已经从口吃中恢复。这个项目的成功完成将影响口吃的神经病理学的理解,通过提供一个敏感的神经标记的障碍,通过语音感知识别。它将为开发翻译长期研究提供动力,旨在进一步评估使用该协议作为幼儿口吃的经济有效的试金石。这是开发一种工具来预测幼儿发展性口吃的风险和持续性与恢复的第一步。此外,它提供了一个功能性皮质重组治疗后持续性口吃的结果措施。
项目成果
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