Holstad Beth A, Sonneveldt Valerie G, Fears Beverly T, Davidson Lisa S, Aaron Roxanne J, Richter Marie, Matusofsky Maggie, Brenner Christine A, Strube Michael J, Skinner Margaret W
Department of Audiology, The Moog Center for Deaf Education, St. Louis, MO 63141, USA.
Ear Hear. 2009 Feb;30(1):115-27. doi: 10.1097/AUD.0b013e3181906c0f.
This study examined the relation of electrically evoked compound action potential thresholds obtained using neural response telemetry (NRT) to T- and C-levels in children's speech processor programs optimized for recognition of very soft to loud sounds while ensuring tolerance of very loud sounds.
Forty-one children (age 2 to 14 yr) with stable electrical hearing participated. All children were Nucleus 24 System recipients and attended one of three auditory-oral schools that have on-site pediatric audiologists experienced at cochlear implant programming. Speech processor MAPs were created and adjusted over a period of months until aided warble-tone thresholds were between 10 and 30 dB HL at octave frequencies between 250 and 4000 Hz, and understanding of speech was maximized for many listening situations. At least 1 yr postactivation, visual (vNRT) and predicted (tNRT) thresholds were obtained on 9 to 11 electrodes and compared to each child's T- and C-level values on these electrodes in their MAPs. Test-retest stability of NRT thresholds was compared for two test sessions 1 mo apart.
NRT-based evoked compound action potential thresholds could be obtained from 36 of the 41 children. vNRT and tNRT test-retest reliability was high; average correlation coefficients (r) across subjects were 0.90 (range: 0.64 to 0.99) and 0.88 (range: 0.31 to 1.00), respectively. Group average correlation coefficients between vNRT and T-level, vNRT and C-level, tNRT and T-level, and tNRT and C-level were low (0.18, 0.21, 0.24, and 0.26, respectively). Group mean tNRT thresholds were four current levels lower than the group mean vNRT thresholds. Subsequent analysis was performed with the vNRT thresholds because the range of test-retest correlation coefficients for individual subjects was narrower than with tNRT. Hierarchical linear modeling was used to determine if vNRT could be used to predict T- and C-levels. This analysis indicated a significant average relation between vNRT and T-levels and between vNRT and C-levels, but significant heterogeneity in the individual-level estimates of those relations. In other words, subjects varied significantly in the size of the relation between their individual vNRT values and both T- and C-levels. Attempts to account for that heterogeneity did not identify any subject characteristics that were significantly related to the individual-level parameters.
The position of the group average vNRT and tNRT thresholds in the upper half of the dynamic range between Ts and Cs agrees with previous studies. The fact that the profile of vNRT thresholds did not parallel the profiles of Ts and Cs across electrodes for most children suggests that simply shifting the NRT profile to select T- and C-levels in initial MAPs is likely to result in a loudness imbalance for certain speech frequencies and/or tolerance issues for many children. This was verified by the hierarchical linear modeling analysis, which showed substantial and significant heterogeneity in the relations between vNRT and T-levels and between vNRT and C-levels. In summary, vNRT is not related to T- or C-levels in a simple and uniform way that would allow it to guide MAP fine tuning with any precision. Consequently, it is recommended that MAP fine tuning be based on the child's behavioral responses on individual electrodes.
本研究探讨了使用神经反应遥测(NRT)获得的电诱发复合动作电位阈值与儿童言语处理器程序中T级和C级之间的关系,这些程序针对从非常轻柔到响亮声音的识别进行了优化,同时确保对非常响亮声音的耐受性。
41名有稳定电听觉的儿童(年龄2至14岁)参与了研究。所有儿童均为Nucleus 24系统的使用者,并在三所听觉口语学校之一就读,这些学校有现场经验丰富的儿科听力学家进行人工耳蜗编程。言语处理器的映射图(MAPs)在几个月的时间里创建并调整,直到在250至4000Hz的倍频程频率下,辅助啭音阈值在10至30dB HL之间,并且在许多聆听情况下言语理解达到最大化。激活后至少1年,在9至11个电极上获得视觉(vNRT)和预测(tNRT)阈值,并将其与每个儿童在其MAPs中这些电极上的T级和C级值进行比较。比较了间隔1个月的两次测试会话中NRT阈值的重测稳定性。
41名儿童中有36名可获得基于NRT的诱发复合动作电位阈值。vNRT和tNRT的重测可靠性很高;受试者的平均相关系数(r)分别为0.90(范围:0.64至0.99)和0.88(范围:0.31至1.00)。vNRT与T级、vNRT与C级、tNRT与T级以及tNRT与C级之间的组平均相关系数较低(分别为0.18、0.21、0.24和0.26)。组平均tNRT阈值比组平均vNRT阈值低四个电流水平。随后使用vNRT阈值进行分析,因为个体受试者的重测相关系数范围比tNRT窄。使用分层线性模型来确定vNRT是否可用于预测T级和C级。该分析表明vNRT与T级之间以及vNRT与C级之间存在显著的平均关系,但这些关系在个体水平估计中存在显著的异质性。换句话说,受试者个体vNRT值与T级和C级之间关系的大小差异很大。试图解释这种异质性并未发现任何与个体水平参数显著相关的受试者特征。
组平均vNRT和tNRT阈值在T级和C级之间动态范围的上半部分的位置与先前的研究一致。对于大多数儿童,vNRT阈值的分布在各个电极上与T级和C级的分布不平行,这一事实表明,在初始MAPs中简单地移动NRT分布以选择T级和C级可能会导致某些言语频率的响度不平衡和/或许多儿童的耐受性问题。分层线性模型分析证实了这一点,该分析表明vNRT与T级之间以及vNRT与C级之间的关系存在实质性且显著的异质性。总之,vNRT与T级或C级之间不存在简单统一的关系,无法精确指导MAP的微调。因此,建议根据儿童在各个电极上的行为反应进行MAP的微调。