CI Neural Mechanisms

CI 神经机制

基本信息

批准号：
10520061
负责人：
Kara Chantal Schvartz-Leyzac
金额：
$ 19.46万
依托单位：
MEDICAL UNIVERSITY OF SOUTH CAROLINA
依托单位国家：
美国
项目类别：
财政年份：
2021
资助国家：
美国
起止时间：
2021-12-01 至 2025-11-30
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10520061
关键词：
12 year old Accounting Acoustic Nerve Acoustic Stimulation Action Potentials Adult Affect Animals Auditory Auditory Evoked Potentials Auditory area Awareness Bilateral Hearing Loss Clinical Cochlear Implants Code Cueing for speech Cues Data Dementia Detection Devices Electrodes FDA approved Hospitalization Human Individual Individual Differences Knowledge Laboratory Animals Life Measures Mental Depression Mission Modeling Modification Nerve Fibers Neurons Outcome Patients Perception Performance Persons Physiologic pulse Population Psychophysics Public Health Pulse Rates Quality of life Rehabilitation therapy Role Signal Transduction Site Speech Stimulus Structure Techniques Time Time Perception Training United States United States National Institutes of Health Voice Work deaf density early onset hard of hearing hearing impairment high risk improved neural neuromechanism neuroprosthesis normal hearing novel strategies programs sound speech recognition spiral ganglion success tool

项目摘要

PROJECT SUMMARY/ABSTRACT Cochlear implants (CIs), which directly stimulate the auditory nerve (AN), are widely considered to be the most successful neuroprosthetic device. However, patients with CIs do not understand speech as well as people with normal hearing, and there remains an unmet clinical need to improve performance in established CI users. CIs are adjusted for each listener by varying the stimulus parameters on each electrode (“programming”); however, programming techniques have largely remained unchanged since CIs were first approved by the FDA in 1984. Studies have shown that 1) the estimated density of AN fibers affects speech recognition outcomes in CI users, 2) AN density can be estimated at each electrode site in CI users, and 3) speech recognition improves for some CI users when stimulating electrode sites with higher AN density. While these studies show that speech recognition seems to be at least somewhat dependent on the ability of AN to precisely code the signal, encoding of information at the level of the auditory cortex is also important for adequate speech understanding. The present studies will define the role of AN density in the precise coding of “timing” (temporal) information and quantify the extent to which stimulating electrodes with higher AN density affects encoding of temporal information at the level of the auditory cortex. We hypothesize that users will show improved speech understanding when using a CI program that stimulates electrodes with higher AN density, but these improvements will be associated with more precise encoding of temporal cues within the auditory cortex.

项目概要/摘要人工耳蜗 (CI) 直接刺激听觉神经 (AN)，被广泛认为是最有效的植入物。成功的神经假体装置然而，CI 患者的言语理解能力不如人。听力正常，并且仍然存在未满足的临床需求，以提高已建立的 CI 用户的表现。通过改变每个电极上的刺激参数（“编程”）来调整每个听者的 CI；然而，自 CI 首次获得 FDA 批准以来，编程技术基本保持不变。 1984年FDA。研究表明1）AN纤维的估计密度影响语音识别 CI 用户的结果，2) 可以估计 CI 用户每个电极部位的 AN 密度，以及 3) 语音当刺激具有较高 AN 密度的电极部位时，某些 CI 用户的识别能力会提高。研究表明，语音识别似乎至少在一定程度上依赖于 AN 的能力精确编码信号，听觉皮层层面的信息编码对于目前的研究将定义 AN 密度在精确编码中的作用。 “定时”（时间）信息并量化刺激具有较高 AN 密度的电极的程度影响听觉皮层层面的时间信息编码，我们率先提出用户会这样做。使用 CI 程序刺激具有更高 AN 的电极时，表现出更好的语音理解能力密度，但这些改进将与更精确的时间线索编码相关听觉皮层。