Using Electrophysiology to Complement Speech Understanding-in-Noise Measures

使用电生理学补充噪声中的语音理解测量

• 批准号: 9906072
• 负责人: Curtis J Billings
• 金额: --
• 依托单位: PORTLAND VA MEDICAL CENTER
• 依托单位国家: 美国
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-02-01 至 2021-01-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9906072
• 关键词: Address; Age; American; Audiology; Auditory; Auditory Evoked Potentials; Auditory system; Behavior; Behavioral; Biometry; Brain; Brain Stem; Clinical; Code; Cognitive; Collaborations; Complement; Counseling; Development; Diabetes Mellitus; Diagnosis; Diagnostic Procedure; Discipline; Electrophysiology (science); Evoked Potentials; Goals; Health; Hearing; Hearing Tests; Hearing problem; Human; Impairment; Individual; Intervention; Measurement; Measures; Methods; Multiple Sclerosis; Noise; Outcome Measure; Parkinson Disease; Participant; Patients; Perception; Performance; Physiological; Population; Process; Psychology; Rehabilitation therapy; Research; Sampling; Sensory; Services; Signal Transduction; Speech; Speech Perception; Stimulus; Subgroup; Testing; Traumatic Brain Injury; Veterans; accurate diagnosis; age effect; auditory stimulus; base; behavior measurement; behavior prediction; behavior test; behavioral outcome; clinical effect; clinically relevant; clinically significant; design; disability; expectation; hearing impairment; improved; individualized medicine; innovation; neural correlate; neurophysiology; noise perception; normal hearing; outcome prediction; predictive modeling; programs; relating to nervous system; speech in noise; treatment strategy

Approximately 37.5 million Americans have some problem hearing, and hearing-related problems rank as the most common service-connected disabilities. One of the chief complaints of those with hearing impairment is difficulty communicating in background noise, a challenge that is exacerbated by several health conditions that are prominent within the Veteran population (e.g., traumatic brain injury, diabetes, multiple sclerosis, and Parkinson's disease). In addition, many older individuals have difficulties understanding speech in background noise beyond what would be expected based solely on their audiometric thresholds. There is a fundamental need for improved diagnosis and treatment of speech understanding in noise difficulties. This research program sets out to establish electrophysiological correlates of speech-in-noise understanding with the goal of supplementing speech-in-noise testing. The assumption is that accurate perception in noise is dependent, in part, on the accuracy of neural coding of the auditory stimulus. By combining electrophysiological and behavioral information we can advance our understanding of perception-in-noise difficulties and predict outcomes in difficult-to-test individuals using physiological testing. The clinical significance of the research proposed is related directly to the ability to predict, more accurately diagnose, and more precisely treat perception-in-noise difficulties. An electrophysiological measure that predicts speech perception will allow for improved assessment of difficult-to-test populations and provide information about the capacity of that auditory system to encode certain stimuli. This will allow the clinician to tailor treatment strategies to the specific needs of the individual and to counsel patients more effectively in terms of the expectations they should have and the benefit they should expect as a result of specific treatments. Therefore, to further our understanding of signal-in-noise perception and neural coding, we will use brainstem, cortical, and cognitive auditory evoked potentials and behavioral speech understanding-in-noise measures with age and hearing impairment as continuous variables to characterize the effect sizes of various covariates and to improve our understanding of the relationship between brain and behavioral measures.

大约 3750 万美国人存在听力问题，并且与听力相关 问题被列为最常见的与服务相关的障碍。主要抱怨之一 患有听力障碍的人在背景噪音中沟通困难，这是一个挑战 退伍军人中常见的几种健康状况加剧了这种情况 人群（例如，创伤性脑损伤、糖尿病、多发性硬化症和帕金森病）。在 此外，许多老年人在背景噪音中理解语音有困难 超出了仅基于听力阈值的预期。有一个 改进噪声中语音理解的诊断和治疗的根本需求 困难。该研究计划旨在建立电生理学相关性 噪声中的语音理解，旨在补充噪声中的语音测试。这 假设是，噪声中的准确感知部分取决于神经网络的准确性 听觉刺激的编码。通过结合电生理和行为信息 我们可以增进对噪声感知困难的理解并预测结果 使用生理测试难以测试个体。 所提出的研究的临床意义与以下能力直接相关： 预测、更准确地诊断并更精确地治疗噪声中的感知困难。一个 预测言语感知的电生理测量将有助于改善 评估难以测试的人群并提供有关其能力的信息 听觉系统对某些刺激进行编码。这将使临床医生能够制定治疗方案 针对个人特定需求的策略，并更有效地为患者提供建议 他们应该有的期望以及他们应该期望的好处 具体治疗方法。因此，为了进一步了解噪声中的信号感知和 神经编码，我们将使用脑干、皮质和认知听觉诱发电位 噪声中的行为言语理解测量与年龄和听力障碍 连续变量来表征各种协变量的效应大小并改进我们的 了解大脑和行为测量之间的关系。