Classification of pediatric dysarthria in cerebral palsy

小儿脑瘫构音障碍的分类

• 批准号: 8713100
• 负责人: Kristen M. Allison
• 金额: $ 3.1万
• 依托单位: UNIVERSITY OF WISCONSIN-MADISON
• 依托单位国家: 美国
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-01-24 至 2015-01-23
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8713100
• 关键词: 5 year old; Acoustics; Address; Adult; Affect; Age; Cerebral Palsy; Characteristics; Child; Childhood; Classification; Clinical; Cluster Analysis; Data; Development; Diagnosis; Disease; Dysarthria; Early Diagnosis; Early identification; Early treatment; Foundations; Gold; Impairment; Individual; Intervention; Joints; Knowledge; Lead; Length; Measurement; Measures; Modeling; Motor; Movement; Movement Disorders; Neurodevelopmental Disorder; Neurologic; Pattern; Phonation; Population; Production; Quality of life; Research; Respiration; Sampling; Severities; Signal Transduction; Speech; Speech Development; Speech Disorders; Speech Intelligibility; Speech Sound; Structure; Subgroup; Symptoms; System; base; clinical practice; design; improved; meetings; motor control; motor impairment; nervous system disorder; novel; phonology; public health relevance; social; theories

DESCRIPTION (provided by applicant): Dysarthria is a motor speech disorder that results in reduced speech intelligibility and impacts functional participation for many children with cerebral palsy (CP) and other neurodevelopmental disorders. The speech characteristics associated with pediatric dysarthria vary widely across individuals, and interact with developmental factors in vocal tract structure, phonological knowledge, and speech motor control. Together, these factors result in diverse clinical speech presentations. Currently, no system exists for identifyin subtypes of pediatric dysarthria in a way that is designed for children, based on quantitative data of children's speech, and can be used to direct treatment. The proposed study aims to provide a foundation for developing a novel pediatric dysarthria classification system by identifying quantitatively-derived subgroups of children with different constellations of speech features, and investigating the effect of subgroups' speech patterns on intelligibility. In additio, the study will investigate characteristics of connected speech that indicate the presence of dysarthria in young children. Specific Aim 1 will use acoustic and perceptual measurements of connected speech samples to differentiate 5-year-old children with dysarthria from children with age-appropriate speech errors, and identify speech measures that best predict the presence of dysarthria. We hypothesize that measures of connected speech reflecting motor control of speech subsystems (i.e., respiration, phonation, resonance, and articulation) will both differentiate children with dysarthria from typically-developing children, and can be used to predict the presence of dysarthria in young children. Specific Aim 2 will use hierarchical cluster analysis to identify clusters of children with dysarthria who have distinct constellations of speec features. We hypothesize that identified clusters will reflect subgroups of children with different patterns of speech subsystem control, and that different constellations of speech features will have differential effects on intelligibility. This study has important implications for improving or theoretical understanding of pediatric dysarthria, and will potentially advance clinical practice b facilitating earlier diagnosis of dysarthria and directing development of intervention strategies that target predominant contributors to intelligibility deficits in subgroups of children.

描述（由申请人提供）：构造障碍是一种运动言语障碍，导致语音清晰度降低并影响许多脑儿童的功能参与 麻痹（CP）和其他神经发育障碍。与小儿构音障碍相关的语音特征在各个个体之间差异很大，并与声带结构，语音知识和语音运动控制中的发展因素相互作用。这些因素共同导致各种临床语音表现。目前，根据儿童言语的定量数据，尚无针对儿童设计的小儿构造障碍的亚型的系统，可用于指导治疗。拟议的研究旨在通过确定具有不同语音特征的儿童的定量子组，并研究亚组语音模式对清晰度的影响，为开发新的儿科构音障碍分类系统提供基础。在Additio中，该研究将调查相关语音的特征，该特征表明幼儿存在构音障碍。特定的目标1将使用连接的语音样本的声学和感知测量来区分5岁儿童与年龄适合语音错误的儿童，并确定最能预测构造障碍障碍存在的语音措施。我们假设，反映语音子系统的运动控制的连接语音的度量（即呼吸，发声，共鸣和表达）都将使患有构造障碍儿童的儿童与典型的儿童区分开来，并且可以用来预测幼儿的鼻症障碍。特定目标2将使用层次群集分析来识别具有不同SPEEC特征星座的构音障碍儿童的簇。我们假设确定的集群将反映有不同儿童的子组 语音子系统控制的模式以及语音特征的不同星座将对可理解性产生不同的影响。这项研究对改善或理论上对小儿构音障碍的理解具有重要意义，并有可能进步临床实践B促进早期诊断构音障碍的诊断，并指导针对儿童亚组中主要贡献可理解性缺陷的干预策略的发展。