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.

项目摘要/摘要直接刺激听觉神经的人工耳蜗（CI）被广泛认为是最多的成功的神经假体装置。但是，独联体的患者和人不了解语音通过正常的听力，并且仍然没有满足的临床需求，以提高已建立的CI使用者的性能。通过改变每个电子上的刺激参数（“编程”），对每个听众进行调整。但是，由于CIS首先获得了由CIS的批准，因此编程技术基本保持不变 FDA在1984年。研究表明，1）纤维的估计密度影响语音识别 CI用户的结果，2）可以在CI用户的每个电极站点上估算密度，3）语音当刺激密度较高的电极位点时，一些CI使用者的识别会改善。而这些研究表明，语音识别似乎至少在某种程度上取决于精确地编码信号，在听觉皮层级别的信息编码也很重要足够的语音理解。本研究将定义密度在精确编码中的作用 “定时”（时间）信息，并量化较高密度刺激电子的程度影响听觉皮层级别的临时信息的编码。我们假设用户将使用CI程序刺激较高的电子密度，但是这些改进将与更精确的临时提示编码有关听觉皮层。