Relation Between Cochlear Mechanics and Performance of Temporal Fine Structure-Based Tasks.

Sho Otsuka, Shigeto Furukawa, Shimpei Yamagishi, Koich Hirota, Makio Kashino
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Abstract

This study examined whether the mechanical characteristics of the cochlea could influence individual variation in the ability to use temporal fine structure (TFS) information. Cochlear mechanical functioning was evaluated by swept-tone evoked otoacoustic emissions (OAEs), which are thought to comprise linear reflection by micromechanical impedance perturbations, such as spatial variations in the number or geometry of outer hair cells, on the basilar membrane (BM). Low-rate (2 Hz) frequency modulation detection limens (FMDLs) were measured for carrier frequency of 1000 Hz and interaural phase difference (IPD) thresholds as indices of TFS sensitivity and high-rate (16 Hz) FMDLs and amplitude modulation detection limens (AMDLs) as indices of sensitivity to non-TFS cues. Significant correlations were found among low-rate FMDLs, low-rate AMDLs, and IPD thresholds (R = 0.47-0.59). A principal component analysis was used to show a common factor that could account for 81.1, 74.1, and 62.9 % of the variance in low-rate FMDLs, low-rate AMDLs, and IPD thresholds, respectively. An OAE feature, specifically a characteristic dip around 2-2.5 kHz in OAE spectra, showed a significant correlation with the common factor (R = 0.54). High-rate FMDLs and AMDLs were correlated with each other (R = 0.56) but not with the other measures. The results can be interpreted as indicating that (1) the low-rate AMDLs, as well as the IPD thresholds and low-rate FMDLs, depend on the use of TFS information coded in neural phase locking and (2) the use of TFS information is influenced by a particular aspect of cochlear mechanics, such as mechanical irregularity along the BM.

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耳蜗力学与基于时间精细结构任务的表现之间的关系
本研究探讨了耳蜗的机械特性是否会影响使用时间精细结构(TFS)信息能力的个体差异。耳蜗机械功能通过扫频诱发的耳声发射(OAEs)进行评估,OAEs 被认为由基底膜(BM)上的微机械阻抗扰动(如外毛细胞数量或几何形状的空间变化)引起的线性反射组成。测量了载波频率为 1000 Hz 的低速率(2 Hz)频率调制检测临界值(FMDLs)和耳间相位差(IPD)阈值,作为 TFS 灵敏度指数;测量了高频率(16 Hz)频率调制检测临界值(FMDLs)和振幅调制检测临界值(AMDLs),作为对非 TFS 线索的敏感度指数。低速率 FMDLs、低速率 AMDLs 和 IPD 阈值之间存在显著的相关性(R = 0.47-0.59)。主成分分析显示,一个共同的因子可分别解释低速率 FMDLs、低速率 AMDLs 和 IPD 阈值中 81.1%、74.1% 和 62.9% 的变异。OAE 特征,特别是 OAE 频谱中 2-2.5 kHz 附近的特征性凹陷,与共同因子有显著相关性(R = 0.54)。高频率 FMDLs 和 AMDLs 彼此相关(R = 0.56),但与其他测量指标无关。这些结果可以解释为:(1) 低速率 AMDLs 以及 IPD 阈值和低速率 FMDLs 都取决于神经相位锁定中编码的 TFS 信息的使用;(2) TFS 信息的使用受到耳蜗力学某一特定方面的影响,如沿 BM 的机械不规则性。
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