Otol Neurotol. 2022 Aug 1;43(7):781-788. doi: 10.1097/MAO.0000000000003568. Epub 2022 Jun 29.
Characterize the contribution of the auditory nerve neurophonic (ANN) to electrocochleography (ECochG) of pediatric cochlear implant (CI) recipients with and without auditory nerve spectrum disorder (ANSD).
ECochG is an emerging technique for predicting outcomes in CI recipients. Its utility may be increased by separating the cochlear microphonic (CM), produced by hair cells, from the ANN, the evoked potential correlate of neural phase-locking, which are mixed in the ongoing portion of the response to low frequency tone bursts.
Responses to tone bursts of different frequency and intensities were recorded from the round window of pediatric CI recipients. Separation of the CM and ANN was performed using a model of the underlying processes that lead to the shapes of the observed waveforms.
Preoperative mean pure tone amplitudes of the included ANSD (n = 36) and non-ANSD subjects (n = 123), were similar (89.5 and 93.5, p = 0.1). Total of 1,024 ECochG responses to frequency and intensity series were recorded. The mean correlation ( r ) between the input and the modeled signals was 0.973 ± 0.056 (standard deviation). The ANN magnitudes were higher in the ANSD group (ANOVAs, F = 26.5 for frequency and 21.9 for intensity, df's = 1, p 's < 0.001). However, its relative contribution to the overall signal was lower (ANOVAs, F = 25.8 and 12.1, df = 1, p 's < 0.001).
ANN was detected in low frequency ECochG responses but not high frequency responses in both ANSD and non-ANSD subjects. ANSD subjects, evidence of neural contribution in responses to low frequency stimuli was highly variable and often comparable to signals recorded in non-ANSD subjects. The computational model revealed that on average the ANN comprised a lower proportion of the overall signal than in non-ANSD subjects.
描述有和没有听神经频谱障碍（ANSD）的儿科人工耳蜗植入（CI）受者的听神经神经声（ANN）对电耳蜗图（ECochG）的贡献。
ECochG 是一种新兴的预测 CI 受者结果的技术。通过将耳蜗微音（CM）与 ANN 分离，即与神经相位锁定相关的诱发电位，可以增加其效用，CM 是由毛细胞产生的，而 ANN 则是在低频声爆发反应的持续部分中混合的。
从儿科 CI 受者的圆窗记录不同频率和强度的声爆发反应。使用导致观察到的波形形状的潜在过程的模型来分离 CM 和 ANN。
包括 ANSD（n = 36）和非-ANSD 受试者（n = 123）的术前平均纯音幅度相似（89.5 和 93.5，p = 0.1）。总共记录了 1024 次 ECochG 对频率和强度系列的反应。输入和模型信号之间的平均相关系数（r）为 0.973 ± 0.056（标准差）。在 ANSD 组中，ANN 幅度较高（ANOVAs，F = 26.5 用于频率，F = 21.9 用于强度，df's = 1，p 's < 0.001）。然而，它对整体信号的相对贡献较低（ANOVAs，F = 25.8 和 12.1，df = 1，p 's < 0.001）。
在 ANSD 和非-ANSD 受试者中，ANN 都在低频 ECochG 反应中被检测到，但在高频反应中未被检测到。ANSD 受试者对低频刺激的反应中神经贡献的证据差异很大，并且通常与非-ANSD 受试者记录的信号相当。计算模型表明，ANN 平均占整体信号的比例低于非-ANSD 受试者。
