Modeling biomechanical, aero-acoustic, and auditory-motor control mechanisms of vocal hyperfunction

声音功能亢进的生物力学、空气声学和听觉运动控制机制建模

• 批准号: 10639614
• 负责人: Matias Zanartu
• 金额: $ 49.83万
• 依托单位: MASSACHUSETTS GENERAL HOSPITAL
• 依托单位国家: 美国
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-04-15 至 2028-03-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10639614
• 关键词: Acceleration; Address; Ambulatory Monitoring; Articulators; Auditory; Bayesian Modeling; Behavior; Biomechanics; Chronic; Classification; Clinical; Clinical Research; Collaborations; Computer Models; Data; Development; Diagnosis; Disease; Dose; Edema; Elements; Etiology; Fibrosis; Functional disorder; Goals; Grant; Impairment; Individual; Investigation; Laryngeal muscle structure; Larynx; Measures; Mechanical Stress; Methods; Modeling; Monitor; Motor; Musculoskeletal; Nature; Noise; Outcome; Output; Pathway interactions; Pattern; Phenotype; Phonation; Physiological; Plants; Population Distributions; Prevention; Quality Control; Reaction; Research; Role; Speech; Structure; Swelling; Tissues; Translations; Voice; Voice Disorders; Voice Quality; behavioral response; biomechanical model; clinically relevant; computer framework; healing; improved; insight; models and simulation; motor control; motor impairment; neural; neurophysiology; neuroregulation; physical model; response; vocal cord; voice therapy

Project Summary/Abstract Vocal hyperfunction (VH) refers to chronic conditions resulting from repeated detrimental patterns of vocal behavior and it is implicated in the most commonly occurring types of voice disorders. Our center aims to address the pressing need to increase the understanding of the etiological and pathophysiological mechanisms associated with VH, to improve the prevention, diagnosis and treatment of VH-related disorders. Building upon the progress made by our group to determine key underlying physical mechanisms, additional efforts are needed to better understand the role of auditory-motor impairments in VH as well as the physical mechanisms underpinning long-term of voice use in phonotrauma. Identifying what triggers a VH vicious cycle and differentiating cause from reaction in these disorders is critical. The first aim of the project is to determine the role of auditory-motor control in the laryngeal biomechanics of individuals with VH. A set of lumped and finite element vocal fold models will be incorporated into an established neurocomputational framework of speech motor control, to investigate neural control of voice in terms of pitch, responses to environmental noise, and voice quality. Previous efforts to simulate onset and compensatory mechanisms of VH will be extended to account for the proposed physiologically relevant auditory-motor control model and subject-specific representations will be developed using a Bayesian framework. The proposed auditory-motor framework will allow for the investigation of causal effects and the interrelation between laryngeal motor control and laryngeal biomechanics, which are not directly observable from the behavioral responses. The second aim is to determine the physical mechanisms that underlie VH statistical classifiers that are based on ambulatory voice monitoring. Our lumped element, finite element, and physical models will be used to ascertain how the VH mechanisms modeled for sustained phonation relate to the long-term differences between groups and conditions. In addition, numerical models will mimic population distributions in the ambulatory data to determine the underlying physical mechanisms behind the statistical classification of VH. We will also explore the role of energy dissipation dose, edema, fibrosis, and healing using structure remodeling principles in both physical and finite element models. Individual descriptions will be enhanced using Bayesian subject-specific model-based ambulatory measures that capture underlying VH pathophysiological mechanisms to assess our findings for the statistical classification of VH. Completion of the proposed aim will improve the understanding and clinical relevance of ambulatory monitoring.

项目概要/摘要 声乐功能亢进 (VH) 是指由于反复出现有害的声乐模式而导致的慢性疾病。 行为，并且与最常见的声音障碍类型有关。我们中心的目标是 满足增加对病因和病理生理机制的了解的迫切需要 与 VH 相关的疾病，以改善 VH 相关疾病的预防、诊断和治疗。建立在 我们小组在确定关键的基本物理机制方面取得的进展，还需要付出更多努力 需要更好地了解听觉运动障碍在 VH 中的作用以及物理机制 为声音创伤中长期使用声音提供支持。确定触发 VH 恶性循环的因素并 区分这些疾病的原因和反应至关重要。 该项目的首要目标是确定听觉运动控制在喉生物力学中的作用 患有 VH 的个体。一组集总和有限元声带模型将被纳入 建立了语音运动控制的神经计算框架，研究语音的神经控制 音调、对环境噪声的响应和语音质量。之前模拟发病和 VH 的补偿机制将得到扩展，以考虑所提出的生理相关性 将使用贝叶斯模型开发听觉运动控制模型和特定主题的表示 框架。拟议的听觉运动框架将允许调查因果效应和 喉部运动控制与喉部生物力学之间的相互关系，这是无法直接观察到的 从行为反应。 第二个目标是确定基于 VH 统计分类器的物理机制 关于动态语音监控。我们的集总元件、有限元和物理模型将用于 确定持续发声建模的 VH 机制如何与长期差异相关 组之间和条件之间。此外，数值模型将模拟人口分布 动态数据以确定 VH 统计分类背后的潜在物理机制。 我们还将利用结构探讨能量耗散剂量、水肿、纤维化和愈合的作用 物理和有限元模型中的重塑原理。个别描述将使用增强 基于贝叶斯特定主题模型的动态测量，捕捉潜在的 VH 病理生理学 评估我们的 VH 统计分类结果的机制。完成拟议目标将 提高对动态监测的理解和临床相关性。