Improving speech motor learning processes using augmented behavioral interventions

项目总结/摘要 言语障碍是沟通障碍中最常见的形式。对言语的许多处理 障碍包括学习新的言语行为或改变异常的言语行为。这些治疗 强烈依赖于言语运动学习过程--通过练习提高运动能力。 然而，言语障碍通常与各种言语运动学习过程中的损伤有关， 导致言语运动学习效率低或有缺陷。言语运动学习过程中的低效 降低了依赖于这些学习过程的治疗的有效性。因此，有一个关键的 需要（1）理解每个言语运动学习过程的具体贡献;（2） 制定行为协议，选择性地影响各种运动学习过程，以改善语言 电机性能如果没有这些知识，开发有效和优化的治疗方法的希望， 语言障碍可能仍然有限。该提案的总体目标是制定行为协议 选择性地针对和改善健康成年人的语言运动学习过程。在这里，我们提出一个 研究计划，以开发和优化一套视觉增强的训练协议，以提高准确性 成功的言语运动学习的两个关键过程：听觉错误检测和言语运动 映射.我们的中心假设是，通过强化训练来改善这些过程可以提高 言语运动学习我们根据当前的言语理论模型制定了这一假设，包括 我们最近的计算模型。目的1是评估错误检测训练对言语运动的影响 学习利用视觉反馈和听觉反馈扰动，我们将训练受试者检测和估计 听觉错误更准确。随后，我们将评估受试者的言语运动学习程度。目的 2将确定言语运动映射对言语运动学习的贡献。利用视觉反馈， 我们将训练受试者学习各种发音结构和他们的听觉之间的关系， 后果然后，我们将评估受试者的言语运动学习程度。该项目的成果将 一个关键的积极影响，因为（1）他们将形成一个强大的科学基础，可以告知发展 有效和优化的治疗语言障碍，（2）他们将有重大的理论 通过阐明言语运动学习过程的影响。

PROJECT SUMMARY / ABSTRACT Speech disorders are the most prevalent form of communication disorders. Many treatments of speech disorders involve learning new speech behaviors or modifying abnormal speech behaviors. These treatments strongly rely on processes of speech motor learning—improvement in motor performance through practice. However, speech disorders are often associated with impairments in various speech motor learning processes, resulting in inefficient or deficient speech motor learning. Inefficiencies in speech motor learning processes reduce the effectiveness of the treatments that rely on these learning processes. Therefore, there is a critical need (1) to understand the specific contributions of each of the processes of speech motor learning and (2) to develop behavioral protocols that selectively influence various motor learning processes to improve speech motor performance. Without this knowledge, the promise of developing effective and optimized treatments for speech disorders will likely remain limited. This proposal’s overall objective is to develop behavioral protocols that selectively target and improve speech motor learning processes in healthy adults. Here, we propose a research program to develop and optimize a set of visually augmented training protocols to improve the accuracy of two processes crucial for successful speech motor learning: auditory error detection and auditory-to-motor mapping. Our central hypothesis is that improving these processes through augmented training can improve speech motor learning. We formulated this hypothesis based on current theoretical models of speech, including our recent computational model. Aim 1 will evaluate the effects of error-detection training on speech motor learning. Using visual feedback and auditory feedback perturbation, we will train subjects to detect and estimate auditory errors more accurately. Subsequently, we will evaluate subjects’ extent of speech motor learning. Aim 2 will determine the contributions of auditory-to-motor mapping to speech motor learning. Using visual feedback, we will train subjects to learn the relationship between various articulatory configurations and their auditory consequences. Then, we will evaluate subjects’ extent of speech motor learning. This project’s results will have a critical positive impact because (1) they will form a strong scientific foundation that can inform the development of effective and optimized treatments for speech disorders, and (2) they will have significant theoretical implications by elucidating processes of speech motor learning.