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DOI 10.1186/s12938-020-0750-2

Медицинская библиотека · Biomedical engineering online · 2020

The sensitivity of different methods for detecting abnormalities in auditory nerve function.

Lu Tianhao, Li Qiang, Zhang Chen, Chen Min, Wang Zhengming, Li Shufeng

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Аннотация

BACKGROUND

Cochlear implants (CIs) have become important for the treatment of severe-to-profound sensorineural hearing loss (SNHL). Meanwhile, electrically evoked compound action potentials (ECAPs) and electrically evoked auditory brainstem responses (EABRs), which can be examined and evaluated with minimal patient cooperation, have become more reliable for tone measurement and speech recognition postoperatively. However, few studies have compared the electrophysiological characteristics of the auditory nerve using ECAPs and EABRs under different functional states of the auditory nerve (FSANs). We used guinea pig models in which six electrodes were implanted unilaterally with continuous electrical stimulation (ES) for 4 h. The amplitude growth functions (AGFs) of the alternating polarity ECAP (AP-ECAP) and forward-masking subtraction ECAP (FM-ECAP), as well as the EABR waves under "normal" and "abnormal" FSANs, were obtained.

RESULTS

Both the AP-ECAP and FM-ECAP thresholds were significantly higher than those measured by EABR under both "normal" FSAN and "abnormal" FSANs (p < 0.05). There was a significant difference in the slope values between electrodes 1 and 2 and electrodes 3 and 4 in terms of the AP-ECAP under the "abnormal" FSAN (p < 0.05). The threshold gaps between the AP-ECAP and FM-ECAP were significantly larger under the "abnormal" FSAN than under the "normal" FSAN (p < 0.05).

CONCLUSIONS

Both of the ECAP thresholds were higher than the EABR thresholds. The AP-ECAP was more sensitive than the FM-ECAP under the "abnormal" FSAN.

Для цитирования: Lu Tianhao, Li Qiang, Zhang Chen, Chen Min, Wang Zhengming, Li Shufeng. The sensitivity of different methods for detecting abnormalities in auditory nerve function.. Biomedical engineering online. 2020. DOI: 10.1186/s12938-020-0750-2.

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