Büchner Andreas, Weller Tobias, Penninger Richard T, Helpard Luke, Ladak Hanif M, Agrawal Sumit, Lenarz Thomas, Schurzig Daniel
Department of Otorhinolaryngology, Hannover Medical School, Hannover, Germany.
German Hearing Center (DHZ), Hannover, Germany.
Front Neurosci. 2025 Sep 2;19:1624499. doi: 10.3389/fnins.2025.1624499. eCollection 2025.
The natural, tonotopic frequency distribution of the inner ear is typically described by the Greenwood function, which logarithmically projects the audible frequency spectrum onto the intracochlear basilar membrane. Recent developments in cochlear implant (CI) programming aim to improve sound quality and music perception through consideration of the frequency distribution as described by the Greenwood function when assigning frequency bands to the individual contacts of the electrode array. This approach is commonly referred to as anatomy-based fitting (ABF). However, empirical validation of the Greenwood function to accurately describe pitch as perceived by CI users is lacking.
Twelve CI patients with single-sided deafness (SSD) participated in the study. A pitch matching task was conducted at four different appointments and with two different fitting maps (standard and ABF). At each test appointment, participants were asked to set the frequency of a pure tone presented through a loudspeaker to the pitch perceived when stimulated with the single contacts of the CI electrode array. The cochlear anatomy of the patients was reconstructed based on clinical imaging to derive the location of the stimulating contacts relative to the basilar membrane, allowing for the comparison of the pitch perceived by the patients to the frequency suggested by the Greenwood function for each stimulating contact.
In general, subjective pitch percepts were found to agree well with the frequency suggested by the Greenwood function independent of subject, contact, or applied fitting map. Differences between pitch matches and Greenwood were found to be not statistically significant. At least part of the outcomes of previous studies reporting a basal frequency shift can be explained by the tonotopic mapping functions applied within these studies.
The present results suggest that the Greenwood function is well-suited for representing the tonotopic frequency distribution not only for normal hearing subjects but for CI recipients as well. Further advances in frequency mapping should also take the neural health of the cochlea into account, allowing for additional individualization of frequency mapping in CIs.
内耳的自然音调拓扑频率分布通常由格林伍德函数描述,该函数将可听频谱对数投影到耳蜗内的基底膜上。人工耳蜗(CI)编程的最新进展旨在通过在为电极阵列的各个触点分配频段时考虑格林伍德函数所描述的频率分布,来提高声音质量和音乐感知。这种方法通常被称为基于解剖结构的拟合(ABF)。然而,缺乏对格林伍德函数能否准确描述CI使用者所感知音高的实证验证。
12名单侧耳聋(SSD)的CI患者参与了这项研究。在四次不同的预约中使用两种不同的拟合图谱(标准图谱和ABF图谱)进行了音高匹配任务。在每次测试预约时,要求参与者将通过扬声器呈现的纯音频率设置为用CI电极阵列的单个触点刺激时所感知的音高。根据临床成像重建患者的耳蜗解剖结构,以得出刺激触点相对于基底膜的位置,从而能够将患者所感知的音高与格林伍德函数针对每个刺激触点所建议的频率进行比较。
总体而言,发现主观音高感知与格林伍德函数所建议的频率非常吻合,与受试者、触点或所应用的拟合图谱无关。发现音高匹配与格林伍德函数之间的差异无统计学意义。先前报告基底频率偏移的研究结果至少部分可以由这些研究中应用的音调拓扑映射函数来解释。
目前的结果表明,格林伍德函数不仅非常适合代表正常听力受试者的音调拓扑频率分布,也适合CI接受者。频率映射的进一步进展还应考虑耳蜗的神经健康状况,以便在CI中实现频率映射的更多个性化。