Predictors of Speech Motor Sequence Learning in Neurological Disorders

神经系统疾病中言语运动序列学习的预测因素

基本信息

项目摘要

Project Summary For the many Americans living with neurogenic speech disorders, the simple task of talking—producing a sequence of speech sounds—presents significant barriers in daily life. Therefore, learning to produce new sound sequences (such as those in a difficult word) is a central component of speech rehabilitation. However, the mechanisms underlying speech motor sequence learning are poorly understood despite the critical importance of this process to speech therapy. Accurate speech production involves both a phonological encoding stage to plan and sequence upcoming sound units (i.e., phonemes) and a motor programming stage to transform the planned phonemes into precise motor movements. It remains unclear how these two stages interact to support the learning of new speech sequences. The primary objective of this proposal is to differentiate the roles of phonological planning and speech motor programming processes during speech motor sequence learning in patients with primary progressive aphasia (PPA). PPA is a category of neurodegenerative disease in which the location and degree of brain atrophy is closely tied to specific speech-language impairments in each individual, and thus allows for relatively precise localization of speech-language function. Patients with PPA may have isolated phonological impairment (e.g., logopenic-variant PPA) or motor programming impairment (e.g., progressive apraxia of speech), or may have relatively intact speech. In this project, participants will complete a two-day learning paradigm where they will practice novel syllables containing non-native consonant clusters that do not occur in English. Improvements in the accuracy and speed of practiced consonant clusters will be compared to their performance on syllables containing untrained non-native consonant clusters. The central hypothesis, based on the GODIVA model of speech sequencing, is that phonological learning should result in reduced utterance duration while motor program learning should result in improved accuracy. This project will test this hypothesis through two specific aims: 1) determine the behavioral predictors of speech motor sequence learning abilities, and 2) establish the neural correlates of these abilities. Aim 1 will test the relationship between learning measures and common clinical measures of phonological and motor programming ability. Aim 2 will analyze the relationship between learning measures and the degree of cortical thinning in phonological and motor programming brain regions. This study will further our knowledge of the mechanisms involved in speech motor sequence learning, in line with the NIDCD mission to advance our understanding of normal and disordered speech and improve the lives of individuals with communication disorders. This proposal will also provide crucial training in areas including structural neuroimaging methods and neurodegenerative speech disorder research that are essential for the trainee’s successful transition to an independent research career.
项目概要 对于许多患有神经源性语言障碍的美国人来说,说话这个简单的任务——产生一种 语音序列——因此,学习发出新的声音是日常生活中的重大障碍。 序列(例如困难单词中的序列)是言语康复的核心组成部分。 尽管语音运动序列学习至关重要,但人们对其背后的机制知之甚少 准确的言语产生涉及到语音编码阶段。 计划和排序即将到来的声音单元(即音素)和运动编程阶段以改变 目前尚不清楚这两个阶段如何相互作用来支持。 该提案的主要目标是区分新语音序列的角色。 语音运动序列学习期间的语音规划和语音运动编程过程 原发性进行性失语症 (PPA) 患者是一种神经退行性疾病,其中 脑萎缩的位置和程度与每个人的特定言语障碍密切相关, 从而可以相对精确地定位 PPA 患者可能具有的言语功能。 孤立的语音障碍(例如,语音减少变异型 PPA)或运动编程障碍(例如, 进行性言语失用),或者可能有相对完整的言语 在这个项目中,参与者将完成一个。 为期两天的学习范式,他们将练习包含非母语辅音簇的新音节, 英语中不会出现辅音群练习的准确性和速度的提高。 与他们在包含未经训练的非本地辅音簇的音节上的表现进行比较。 基于语音排序 GODIVA 模型的假设是,语音学习应该导致 减少说话持续时间,同时运动程序学习应该会提高准确性。 通过两个具体目标检验这一假设:1)确定言语运动序列的行为预测因子 学习能力,2) 建立这些能力的神经关联,目标 1 将测试之间的关系。 目标 2 将学习语音和运动能力编程的学习措施和常见临床措施。 分析学习测量与语音和皮质变薄程度之间的关系 这项研究将进一步加深我们对言语机制的了解。 运动序列学习,符合 NIDCD 的使命,即增进我们对正常和紊乱的理解 该提案也将为改善言语和改善患有沟通障碍的人的生活提供重要依据。 结构神经影像方法和神经退行性言语障碍研究等领域的培训 这对于学员成功过渡到独立研究职业至关重要。

项目成果

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Hilary Elizabeth Miller其他文献

Hilary Elizabeth Miller的其他文献

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{{ truncateString('Hilary Elizabeth Miller', 18)}}的其他基金

Predictors of Speech Motor Sequence Learning in Neurological Disorders
神经系统疾病中言语运动序列学习的预测因素
  • 批准号:
    10626846
  • 财政年份:
    2022
  • 资助金额:
    $ 4.5万
  • 项目类别:

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