Objective Measures in Cochlear Implantation: A Review

Objective Measures at Different Stages of Cochlear Implantation: A Data Analysis

George A. Tavartkiladeze1, Vigen V. Bakhshinyan1

  1. Department of Clinical Audiology, Russian Medical Academy of Continuing Professional Education

OPEN ACCESS

PUBLISHED: 31 January 2025

CITATION: Tavartkiladeze, GA., and Bakhshinyan, VV., 2025. Objective Measures at Different Stages of Cochlear Implantation: A Data Analysis. Medical Research Archives, [online] 13(1). https://doi.org/10.18103/mra.v13i1.6171

COPYRIGHT: © 2025 European Society of Medicine. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

DOI: https://doi.org/10.18103/mra.v13i1.6171

ISSN 2375-1924

ABSTRACT

Objectives: The aim of this literature review was to summarize the results of scientific publications on the use of objective electrophysiological methods at different stages of cochlear implantation. The following aspects were evaluated: usefulness of electrocochleography and auditory evoked brainstem response registration to electrical stimulation for candidates’ selection for cochlear implantation; application of neural response telemetry, auditory evoked brainstem response registration and contralateral stapedial muscle reflexes to electrical stimulation as well as intracochlear electrocochleography to acoustic stimulation during implantation; the use of these methods and cortical auditory evoked potentials at the post-surgery stage for monitoring the cochlear implantation outcomes and controlling the speech processor adjustment.

Results: A search was conducted in PubMed and CINAHL databases up to August 2024 to locate articles related to the electrocochleography and auditory brainstem responses measured before, during and after cochlear implantation and cortical auditory evoked potentials – after cochlear implantation. The quality of studies was evaluated using the National Institute of Health (NIH) “Study Quality Assessment Tool for Case Series Studies”. A total 186 articles were included for the systematic review including 72 studies devoted to neural response telemetry, 29 – to electrically evoked auditory brainstem response registration, 41 – to intracochlear electrocochleography, 34 – to cortical auditory evoked responses in implanted patients and 10 – to contralateral stapedial muscle reflexes to electrical stimulation during and after cochlear implantation. Based on the analysis of the reviewed publications the optimal sets of objective measurements at different stages of cochlear implantation are recommended.

Conclusions: The battery of the objective audiological methods provides the electrically evoked auditory nerve compound action potential threshold determination at different electrodes of cochlear implant which can be used for the precise speech processor mapping, including investigation of amplitude growth function, excitation summation, spread of excitation and recovery function. The intracochlear electrocochleography to acoustic stimulation provides real-time feedback intraoperatively and has a potential clinical value to monitor the status of hearing preservation. Additional information could be obtained with estimation of auditory evoked brainstem response thresholds to electrical stimulation before, during and after implantation. The invaluable information for the estimation of cochlear implantation effectiveness can be obtained by registration of cortical auditory evoked potentials to acoustic and electrical stimulation which is based on the analysis of the P1-N1-P2 complex.

Keywords

Cochlear Implantation; Electrophysiology; Electrically Evoked Compound Action Potential; Electrically Evoked Brainstem Responses; Cortical Auditory Evoked Potentials; Electrically Evoked Stapedial Reflex Threshold

INTRODUCTION

The effectiveness of cochlear implantation (CI) has increased significantly over the past forty years. This is due both to the improvement of technologies for the development and production of implants, to changes in the criteria for CI candidates’ selection (age, degree of hearing loss) and significant changes in the procedure for the speech processor adjustment. However, despite this, the results of CI vary significantly among different patients. This variability, of course, depends on the functional integrity of the auditory nerve and structures of central auditory system, the location of the electrode array, and the performance of the implanted electronic device.

An outcome of CI surgery is typically assessed using a battery of tests. The speech perception test investigates the patient’s ability to both perceive and discriminate speech information. While widely used, scores are influenced by several factors, including the intelligence quotient, ability to focus, and age. These limitations highlight the need for more objective outcome measures.

With the rising numbers of CI surgeries in recent years, as well as the expansion of candidacy to wider groups of pediatric population, there is a greater need to standardize and optimize the surgical and diagnostic procedures to ensure consistent and favorable outcomes.

Modern methods of computerized tomography and magnetic resonance imaging provide information about the location of electrodes, but they are powerless in determining the functional status of neural elements, the performance of the device, and predicting the results of CI.

Over the past decades, various electrophysiological techniques have been developed and introduced into clinical practice, providing registration of responses from structures at various levels of the auditory pathway to acoustic stimulation The electrophysiological assessment has been shown to be efficient in investigating the functioning of the auditory system and in providing objective data on the benefit of early intervention. Large number of papers published in the 90s also described approaches for using electrophysiological techniques in implanted patients. The emphasis was mainly on recording of electrically evoked short- and middle-latency potentials. However, due to the need to use surface electrodes and special averaging equipment, as well as the importance of the patient’s condition during registration, these techniques have not found widespread use in clinical practice. This equally applies to the auditory nerve compound action potential (CAP). And, if the auditory nerve СAP to acoustic stimulation has been widely used in clinical practice for more than 60 years, its registration to electrical stimulation in animals and humans has become possible only since the second half of the eighties. This delay was primarily due to the lack of techniques to suppress electrical stimulus artifact. In 1990, Brown et al. developed a recording technique using intracochlear electrodes in patients with cochlear implants, based on the use of a forward masking paradigm.

The electrically evoked CAP (ECAP) represents a synchronized response generated by a group of electrically activated auditory nerve fibres. Current cochlear implants incorporate a “reverse” telemetry capability that allows near-field recordings of the ECAP (Neural Response Telemetry – NRT – Cochlear; Neural Response Imaging – NRI – Advanced Bionics, Auditory Response Telemetry – ART – Med-EL). Compared with other electrophysiological measures, the ECAP offers several advantages: 1) measuring the ECAP in CI patients does not require extra equipment, special software, or an external recording electrode other than the standard equipment for clinical programming; it can be done through the telemetry function implemented in the CI and the commercial software provided by the manufacturer; 2) it requires minimal patient cooperation and is not affected by patient’s arousal status, which is an important advantage for working with pediatric CI users. Clinical application of ECAP recordings include functionality tests during surgery, long-time monitoring of the implant-nerve interface and provide a guidance for fitting when subjective feedback from the CI user is unreliable. However, it should be noted that despite the above capabilities, NRT provides information only about the functional integrity of the auditory nerve fibres, which certainly limits its ability to assess the state of overlying structures and explain the pronounced intra- and interindividual differences in CI results. This information can be obtained by recording the potentials of the brain stem and auditory cortex to electrical stimulation which can more effectively activate the central auditory pathway, providing auditory perception and enabling development of speech perception skills.

The electrically evoked auditory brainstem response (EABR) is an objective method for nerve electrophysiological test based on ABR. This method triggers the auditory nerves and brainstem to generate a series of electrical potential activities through electrical stimulation of spiral ganglion cells/ auditory nerve fibres. EABR can objectively and effectively evaluate the functional status of the auditory conduction pathways and their responsiveness in children with severe and profound sensorineural hearing loss. It has an important application value in the selection, intra-operative monitoring, and post-operative evaluation of surgical indications in children receiving CI. Additionally, these responses can be recorded even when excessive stimulus artifacts preclude successful acquisition of the ECAPs.

At the pre-operative stage, a transtympanic EABR (TT-EABR) could be used as an effective clinical procedure which can decrease the likelihood of placing a cochlear implant in a non-stimulable ear and may provide the clinician with a valuable tool for selection of the most appropriate ear for implantation. It has been shown that the presence of normal TT-EABR may indicate a significantly better outcome after CI surgery than for ears which had abnormal or absent TT-EABR. Together with TT-EABR the intra-operative implant-evoked EABR with the use of test electrode is recommended to identify the site of lesion in patients with auditory neuropathy spectrum disorders (presynaptic vs. postsynaptic).

Intraoperative testing is used for several purposes during CI surgery: to evaluate device functionality, to verify the position of the implant and electrode array, and to assess the functional status of the patient’s auditory pathway. These tests include imaging techniques, electrophysiological and biophysical evaluations, such as measurements of the electrode impedance, ECAP, intracochlear ECochG, EABR, and electrically evoked stapedial reflex threshold (ESRT); and other tests like subjective patient responses. Studies have shown that post-operative objective electrophysiological tests correlate well with behavioral levels and these measurements may be used to ascertain an optimal behavioral map for the implanted patient.

The literature reports that ECAP thresholds may be successfully recorded in 80–83% of cases but are not sensitive enough to identify accurate mapping levels. ESRT is known to overpredict the optimal behavioral comfort levels during the initial period of habilitation, and EABR, though reliable, is found to be cumbersome, time-consuming, and impractical to be done for all electrodes to comprehensively program a cochlear implantee. Hence, no single electrophysiological test has been found to have high sensitivity and reliability for setting an ideal map. There remains a lack of consensus regarding which tests, if any, should be used before, during and after surgery, and their precise function and utility.

Studies using EABR and later responses have confirmed changes in plasticity of the central auditory system in implanted children, and demonstrated the ability of the central auditory system to adapt the new channel of information provided by the cochlear implant.

In cochlear implant (CI) patients, using the implant electrode, we can measure ECochG signals directly within the cochlea. Intraoperative, intracochlear monitoring of the cochlear response (cochlear microphonic – CM) to acoustic stimulation during CI shows promise as a tool to assist with hearing preservation. The cochlear microphonic potential is generated primarily by transduction currents in outer hair cells as soon as mechanically gated ion channels open at the tip of stereocilia when the basilar membrane is displaced. Therefore, the CM is well placed to detect any disturbance of cochlear mechanics, such as fixation of the basilar membrane by the electrode array. When ECochG is recorded from the apical electrode of the array during CI, the signal amplitude tends to rise continuously or plateau for low-frequency stimulation. Observational studies report that even a transient fall in amplitude at any time during implantation results in poorer residual hearing levels postoperatively. Patients with a preserved CM during implantation have been shown to retain more residual hearing for up to 12 months after surgery when compared to patients with an intraoperative CM drop.

Electrocochleography responses can be recorded from an intracochlear electrode at any time after surgery in CI users with preserved acoustic hearing. The most widely studied clinical application of postoperative ECochG is for estimating behavioral thresholds based on electrophysiologic thresholds.

Many researchers have demonstrated the possibility of cortical auditory evoked potential (CAEP) recording in CI patients. It is emphasized that the presence of the P1-N1-P2 complex with amplification can serve as an indicator of speech determination at the level of the auditory cortex. In addition, the possibility of using CAEP recording to assess the effectiveness of CI is being considered, and a high degree of correlation between CAEP thresholds and hearing thresholds is noted.

The goal of this review is to provide a comprehensive overview of the electrophysiological methods and discuss their recent applications at different stages of cochlear implantation.

RESULTS

A search was conducted in PubMed, CINAHL and Scopus databases up to August 2024 to locate articles related to ECochG and ABR measured before, during and after CI and CAEP – after cochlear implantation. The quality of studies was evaluated using the National Institute of Health (NIH) “Study Quality Assessment Tool for Case Series Studies”. Journal articles were also acquired from the reference lists of relevant articles.

A total 186 articles were included for the systematic review: 72 studies devoted to NRT, 29 – to EABR registration, 41 – to intracochlear ECochG, 34 – to CAEP in implanted patients and 10 – to contralateral ESRT during and after CI.

NEURAL RESPONSE TELEMETRY

The electrically evoked compound action potential is a synchronized response that is generated by many cochlear nerve fibres, stimulated by brief electrical pulses delivered to an intracochlear electrode contact of cochlear implant and recorded from the contact of the intracochlear electrode, usually located one or two electrode contacts away (in the apical direction) from the stimulated electrode.

In general, electrically evoked potentials have characteristics like potentials recorded to acoustic stimulation. At the same time, electrical stimulation eliminates processes that are normally present in the cochlea, such as the compressive effects of the basilar membrane and hair cells, as well as processes in synapses. As a result, excitation in the auditory nerve has greater synchrony, shorter latency, and a steeper growth function than similar parameters during acoustic stimulation.

Electrical stimuli transmitted through electrodes of cochlear implant to the auditory nerve fibres are transmitted to the neural structures. Theoretically, the ability of the auditory nerve to encode and process incoming electrical stimuli should largely determine the results of CI. It has been shown that the physiological activity of the auditory nerve (the number and conditions of spiral ganglion neurons) influences the results. Many studies have been aimed at exploring the feasibility of ECAP recording to determine stimulation levels for each CI electrode in a patient. Over the past 15 years, there has been an increase in the number of studies in which ECAP recording is used to investigate various aspects of auditory nerve fibres functioning and their impact on the results of CI in children and adults. Typically, the ECAP from intracochlear electrodes in implanted patients is biphasic and consists of a negative N1 peak recorded in a time window of 0.2–0.4 msec followed by a positive peak P2 recorded in a time window of 0.6-0.8 msec. This ECAP waveform is detected in more than 80% of registrations. ECAP with two positive peaks P1 and P2 can also be determined, but no more than in 10-20% registrations. Exceptions in which ECAP cannot be recorded most often include recipients with cochlear nerve deficiency and those with auditory neural dysfunction.

The amplitude of the ECAP response is larger than the amplitude of typical CAP to acoustic stimulation measured with surface electrodes, because the recording electrodes used for the ECAP registration are in close proximity to the neural generator. However, successful recording of the ECAP is challenging because the electrical artifact from the stimulus delivered is much larger than the auditory evoked response. As a result, artifact reduction techniques are required to extract the cochlear nerve response from the competing electrical artifact from cochlear implant.

The electrically evoked compound action potential is a high-amplitude response, which minimizes interference with myogenic activity recordings. Based on ECAP peripheral nature, it is not affected by the maturation of the central auditory system, which is reflected in the absence of differences in the morphological characteristics of ECAP in children and adults and practically does not change with the duration of implant use. At the same time, the amplitude and latency of ECAP recorded in implanted patients are influenced by external factors, such as the level of stimulation, the position of the stimulating intracochlear electrode, the spacing of the stimulating and recording electrodes, the polarity of stimulation, etc. Thus, with increasing the intensity of stimulation, the amplitude of ECAP increases. The increase in amplitude is characterized quantitatively by the slope of the input/output function. It should be noted that ECAPs recorded from apical electrodes have a larger amplitude than potentials recorded from basal electrodes at the same intensity levels, which may be due to greater preservation of neurons and a smaller distance between the test electrode and the stimulated neural structure in the apical region. The slopes of the amplitude growth function are also more pronounced at apical electrodes. As the distance between the stimulating and recording electrodes increases, the ECAP latency may decrease, which is associated with a change in the site of potential generation. Biphasic electrical pulses are the typical stimuli used to elicit ECAP They are delivered to one intracochlear electrode contact via monopolar coupling at a rate ranging from 30 to 80 pulses per sec which is much slower rate than that used for most cochlear implant signal coding strategies. In fact, most recipients can tolerate ECAP stimulus levels that are higher than the stimulus levels used for their maps, because the faster stimulus rates used for mapping in modern signal coding strategies elicit a louder auditory percept due to temporal summation. Finally, ECAP evoked by a biphasic anodic-onset pulse has a larger amplitude and shorter latency than that evoked by a biphasic cathodic pulse at the same levels of stimulation intensity.

The potential clinical applications of NRT have been actively explored since the development of this method. Most previously published works focused on determining the programming levels of individual electrodes of cochlear implantation systems. There is evidence that auditory nerve health matters for implantation outcomes. In addition, it has been shown that ECAP is sensitive to the location of the electrode and the functional state of the auditory nerve fibres in the area of the recording electrode and can also be used to monitor the neuronal activity. Particular attention has been paid to the study of spectral and temporal encoding of electrical stimuli at the level of the auditory nerve and their relationship to auditory perception in implanted patients. Based on an analysis of the results of experimental and clinical studies He et al. are mentioning the potential capabilities of ECAP in determining the level of stimulation, spatial selectivity, assessing the temporal characteristics of the response and the functional integrity of the auditory nerve fibres. Pronounced intra- and interindividual variations between stimulating electrodes, as well as between discharge rates, were noted in almost all studies, which was associated with differences in the functional state of the fibre populations that respond to electrical stimulation provided by the cochlear implant. These variations highlight the importance to investigate the extent to which differences in the physiological status of auditory nerve fibres may influence variations in auditory and speech perception between implanted patients and between stimulation sites within an individual patient.

Despite significant progress in our understanding of the ECAP nature, many questions remain to be resolved. This also applies to the possibility of using the spread of excitation (SOE) functions obtained during ECAP recording to determine which electrode should be used for programming maps in a particular patient, and to the significance of the clinical and behavioral manifestation of different temporal characteristics of auditory nerve fibres. The Neural Response Telemetry technique is of particular importance for the speech processor programming in young children. Its widespread introduction into clinical practice has been facilitated by the following factors: there is no need to use external electrodes; intracochlear electrode ensures registration of high-amplitude auditory nerve CAP exceeding in magnitude electrical activity of another origin; the patient’s condition during ECAP recording is not so critical, which allows registration to be carried out while the child is awake; given the improvement in the signal-to-noise ratio, a significantly smaller number of averagings are required to obtain a response, which reduces the time of investigation.

However, despite the further development of the method and its wider use in clinical practice, one should remember some important aspects in which the NRT cannot be informative. Since the ECAP of the auditory nerve reflects the activity of the auditory periphery, its information content sharply decreases with changes taking place in the central auditory system.

ELECTRICALLY EVOKED COMPOUND ACTION POTENTIAL REGISTRATION FOR THRESHOLD DETERMINATION

Implantation of children aged 12 months and younger previously presented a problem not only in terms of candidate selection, but also in terms of the speech processor postoperative programming. Considering that during ECAP registration there is no need to obtain behavioral responses, electrophysiological techniques have found widespread use before and after CI in young children. As a rule, the stimuli used in electrophysiological and behavioral studies do not differ from each other, and therefore the thresholds determined in these measurements also correlate well. However, the stimuli used for ECAP registration differ significantly from the stimuli used to program the speech processor. In the first case, a sequence of stimuli with a frequency of 30-80 Hz is used, while in the second – with a frequency of 250 Hz and higher. Considering that behavioral thresholds and maximum comfort levels (MCL) reflect temporal integration, but ECAP and EABR thresholds do not, it is logical that there is only a subtle relationship between electrophysiological thresholds and behavioral levels of programming, as well as significant intersubject variability. In this regard, many authors have proposed combining the results of NRT with a limited amount of behavioral data to predict levels of speech processor programming. Even though the methods proposed by different authors were somewhat different from each other, they led to an increase in the correlation between ECAP thresholds and threshold and comfort levels of processor programming, both by adjusting the threshold level when using behavioral threshold values on a specific electrode, and when determining the speech perception threshold of the stimulus presented through the processor. However, despite the unexpressed correlation of the registered ECAP thresholds with threshold and comfortable levels of stimulation, it is necessary to note the high correlation between the ECAP thresholds profiles and the profiles of individual stimulation maps of the speech processor, which makes it possible to objectify the adjustment process as much as possible, while creating maps of stimulation, that correspond to the profile of the registered ECAP thresholds. Brown, Abbas, Gantz recorded ECAPs in implanted patients. They obtained data indicating a high degree of correlation between the electrophysiological response and the results of implantation.

With multichannel cochlear implants, each electrode is expected to stimulate different populations of neurons. Based on histological data obtained in animals with experimental deafness and on human temporal bones, it was concluded that the degeneration of spiral ganglion cells and their peripheral processes significantly differs along the cochlea. If we assume that changes in ECAP parameters reflect the properties of the stimulated populations of neurons, then we can expect that these responses will vary not only between subjects, but also depending on the site of stimulation in each subject.

The electrically evoked compound action potential thresholds can be determined visually or by amplitude growth function determination. It typically includes measures completed at a stimulation level that is below the ECAP threshold and several ECAP measures at suprathreshold stimulation levels.

When determining the ECAP amplitude growth function various maskers and stimuli corresponding to the upper limit of the dynamic range are used. As the stimulation intensity decreases, the masker level decreases by the same amount (10 CL). It is possible to extrapolate the obtained data to determine the ECAP threshold value. As a rule, ECAP threshold is located below the MCL and above the level of threshold perception (closer to the MCL).

Advanced variations in ECAP measurements may be completed to gather additional information about the auditory system’s responsiveness to electrical stimulation. These advanced measurements include the recovery function and SOE measures. However, although these measurements are of scientific interest, they are rarely conducted as part of the clinical management of cochlear implant recipients.

The spread of excitation measurement may be completed by manipulating the conventional ECAP registration parameters and may refer to the amount of electrical current spread from a stimulated to surrounding electrode contacts. Although SOE measurement can provide an indication of channel interaction, research has generally failed to establish SOE as a tool to effectively predict a recipient’s performance or to determine the need to disable certain electrode contacts to avoid channel interactions. However, several researchers have shown the SOE to be useful for detecting electrode array tip fold-over based on the change in the shape of SOE in atypical manner when the electrode contacts involved with the foldover are used as a masker.

Another advanced ECAP measurement is the investigation of recovery function in CI users. The rate of recovery ECAP measurement is a variation of the forward-masking subtraction technique – multiple ECAP measurements are made with varying masker-probe intervals (MPIs). When using short MPIs, neurons, having responded to the presentation of a masker, are in a refractory pause at the moment of stimulus presentation. As the MPI lengthens, the number of neurons responding to the stimulus increases. The functions describing the relationship between the ECAP amplitude, and the MPI reflect the time required for the recovery of the nerve from a refractory state. The results of ECAP registration in patients with cochlear implants (thresholds, growth functions and refractory properties) using short stimuli (40 μs/phase), providing a high degree of synchrony of nerve discharges, allow us to consider the amplitude of ECAP as an indicator of the sum of action potentials caused by a certain stimulus. The findings of differences in growth and recovery functions both between patients and between locations of stimulated electrode pairs may indicate differences in the size and characteristics of the stimulated neuronal population response. Previous experimental studies have shown that ECAP is sensitive to degenerative changes in the auditory system of animals with experimental hearing loss and that these findings may also apply to speech perception in implanted patients. Given the noted variability in physiological studies and the high correlation between them and psychophysically determined data, it can be assumed that electrophysiological measurements and especially thresholds, amplitude growth functions and temporal characteristics of the response, can be used for description of the stimulated neuronal population properties. Threshold measurements are typically used to select speech processor stimulation parameters and to select the range of electrical stimulation, in particular.

INTRACOCHLEAR ELECTROCOCHLEOGRAPHY

A new step that opens great prospects for preserving residual hearing during cochlear implantation has been the introduction into clinical practice of intraoperative intracochlear ECochG to acoustic stimulation. When the electrode array of the cochlear implant is inserted, the CM is recorded and the function of intact outer hair cells is monitored. The cochlear microphonic portion of the ECochG reflects hair cell function, while the auditory nerve neurophonic represents sustained phase-locked neural activity. Intracochlear ECochG via the reverse telemetry system offers real-time feedback about cochlear responses during electrode insertion. The prognostic value of intracochlear ECochG recordings during CI surgery was investigated to determine whether this technique can be used to assess insertion trauma and predict early postoperative hearing preservation. Mixed results were reported on the relationship between changes in the ECochG response and hearing preservation. It was shown that CM amplitude alone is not sufficient to detect damage or insertion trauma. Considering both the phase and amplitude might identify ECochG amplitude drops caused by touching or damaging the basilar membrane better than simple amplitude because the recording electrode has just passed the generator.

The electrocochleographic responses can be recorded from intracochlear electrode at any time after CI surgery in patients with preserved acoustic hearing. Postoperative intracochlear ECochG has been used to determine the lowest stimulus presentation level that generates CMs in CI patients with residual hearing. The results show a significant correlation between CM thresholds and behavioral thresholds in CI patients. It was shown that both the CM and auditory nerve neurophonic responses could be identified from most patients with preserved low-frequency hearing using acoustic stimulation. Cochlear microphonic and neurophonic thresholds measured with 500 Hz tone burst significantly correlated with postoperative behavioral thresholds at 500 Hz.

It is also important to consider the location of the CI electrodes which determines the place-pitch sensation produced by electrical stimulation.

ELECTRICALLY EVOKED BRAINSTEM RESPONSE REGISTRATION TO ELECTRICAL STIMULATION

Auditory nerve fibres are more steeply tuned to acoustic stimuli than to electrical stimuli. In addition, phase synchronization occurs to the positive phase of the acoustic sinusoidal stimulus, while with electrical stimulation, phase synchronization occurs to the negative phase of the stimulus and is more pronounced. The normal functioning of the auditory nerve fibres involves excitation of the inner hair cells, which results in a greater dynamic range. With electrical stimulation, auditory nerve fibres are stimulated bypassing the inner hair cells and have a smaller dynamic range. It is known that synchrony in recording electrically evoked potentials in implanted patients is more pronounced than acoustically evoked potentials in individuals with normal hearing, which is due to direct stimulation of auditory nerve fibres by electrical stimuli with a rapid onset. Due to the absence of delays mediated by mechanical propagation of the traveling wave, transduction in sensory cells and synaptic excitation in primary afferent neurons, the absolute values of the latencies of EABR waves are shorter than the latencies of ABR waves during acoustic stimulation by 1-2 msec. Moreover, the PIII-PV intervals were the same for both types of stimulation. The slope of latency/intensity function is steeper with electrical stimulation. With acoustic stimulation, the latency decreases to 2 msec between threshold and saturation of potential, while with electrical stimulation, the latency changes only slightly. With electrical stimulation, a greater amplitude of the ABR waves is determined than with acoustic stimulation. The auditory nerve fibres that respond with synchronous discharges to click stimulation originate mainly from the basal regions of the cochlea, while with electrical stimulation all fibres respond synchronously.

Previous studies have noted intra- and intersubject differences in amplitude, thresholds, and wave morphology when recording EABR from different electrodes. It was noted that the latency of wave V had larger values when recorded from more basal electrodes than when recorded from apical electrodes. In patients with cochlear implants, better responses were recorded (relative to latency, amplitude and wave morphology) from apical electrodes. The closer the electrode array is to the stimulated spiral ganglion neurons, the greater is the effect of stimulation on thresholds. The electrically evoked auditory brainstem response parameters (thresholds, amplitude growth function, slope) are influenced by intact neurons of the spiral ganglion. Some studies have noted a low degree of ability to predict a functional integrity of spiral ganglion neurons using EABR, while others have obtained good predictive results. A greater correlation between the number of intact spiral ganglion neurons and the effectiveness of CI can be expected if a more adequate method for assessing the integrative function of the auditory nerve is used. Hall (1990) demonstrated that in rats with experimental deafness there was a high degree of correlation between the amplitude and/or growth function of EABR wave I and the number of intact spiral ganglion cells. However, this correlation significantly decreased for later waves. It should be borne in mind that EABR wave I recording in humans is extremely difficult because it has a low amplitude and is practically masked by an artifact of the electrical stimulus or artifacts of a different nature. The way out of this situation is to record the ECAP of the auditory nerve. Being the response to electrical stimulation of the corresponding groups of fibres, ECAP can be considered as an analogue of the EABR wave I. In doubtful cases of CI candidates’ selection, the useful method to evaluate the integrity of the auditory pathway is the EABR registration.

Polterauer et al. (2018, 2022) used the trans-tympanic approach for the EABR registration before the CI. However, because such tests fail to judge auditory nerve excitability in many cases and based on the results of Lassaletta et al. (2017) the intra-operative EABR registration before the CI with the use of test electrode was recommended.

CORTICAL AUDITORY EVOKED POTENTIALS

The P1-N1-P2 complex can be recorded in implanted patients in response to sounds presented either electrically (directly to the speech processor of the cochlear implant) or acoustically (via a loudspeaker to the microphone of the speech processor). However, the response is often superimposed by stimulus artifact. Often, the artifact caused by radiofrequency pulses occurs in the electrodes located in the region of the implant magnet, but it can be eliminated by moving the electrode away from the magnet. In some studies, the problem was solved by using relatively short stimuli, which resulted in the stimulus artifact ending before the onset of the potential peak.

Quite encouraging results when recording the P1-N1-P2 complex from intracochlear electrodes in implanted patients were noted in studies by Attias et al. (2022) and Callejón-Leblic et al. (2022). It is emphasized that the greatest amplitude of the complex is recorded during stimulation of the apical electrodes, and the most stable is the N1 peak. In patients with lower levels of comfortable loudness, shorter N1 latencies were determined. The P1 peak recorded in implanted children does not differ in shape from that recorded in children with normal hearing but has an extended latency. In the studies of Ponton et al. (1996) it was noted that the latency of the P1 peak depends on the duration of use of the cochlear implant. The curve of the P1 peak development in an implanted child is shifted by the time during which the child remained without activation of the central auditory system.

It should be remembered that a cochlear implant, like a hearing aid, distorts the morphology of the recorded response, which depends on the number of electrodes, the volume control setting, etc. Of note is the work of Eggermont et al. (1997) examining the maturation of the auditory system in children using cochlear implants. According to P1 registration data (latency changes), it was shown that in the group of children with normal hearing, P1 maturation occurred by the age of 15 years, while in children with cochlear implants there was a delay in P1 maturation equal to the duration of deafness. It has been shown that the developmental regression line constructed according to P1 is interrupted in deaf children, but continues again after CI and reaches maturation, depending on the age at which the implantation took place. Most changes in peak P1 occur in the first 6 months after CI. Moreover, the earlier the operation is performed, the faster the peak latency decreases. Based on this, it can be concluded that peak P1 and its latency can serve as a “biological marker” of development and plasticity of the central auditory system.

ELECTRICALLY EVOKED STAPEDIAL MUSCLE REFLEX

A special niche among the objective methods takes the stapedial muscle reflex threshold registration to electrical stimulation (ESRT). These reflexes can be visualized by the surgeon during surgery (muscle contraction when stimulating the corresponding pairs of electrodes after the electrode array insertion) or registered on the contralateral ear using an acoustic immittance meter (possible both during surgery and during the speech processor fitting after implantation). During surgery the ESRT presence can be verified visually based on muscle contraction or the stapes footplate movements. In most studies devoted to ESRT a pronounced correlation of contralateral ESRT with MCLs of electrical stimulation was noted. As for the dependence of visually determined ipsilateral ESRT and the levels of speech processor adjustment, there are still many unsolved issues.

The contralateral ESRT registered from different CI electrode array channels in the same patient, has a flatter leading edge at near-threshold stimulation levels. The ESRT recorded from high-frequency electrodes, has a triangular shape that persists up to stimulation levels bordering on uncomfortable levels. With presentation of two short stimuli (0.5 sec) following one another with the interval between them less than 1 sec, the effect of reflex amplitude summation is observed. Usually, the ESRT is lower than the uncomfortable loudness level and is closer to MCL. It is necessary to mention that sometimes contralateral ESRT is not registered even in patients in whom it was visualized during surgery.

The characteristic features of the ESRT waveform can be explained by differences in the loudness temporal summation in patients using cochlear implants from the loudness temporal summation in individuals with normal hearing: in patients the loudness temporal summation is extended to 1 sec. The results of studies indicate a deterioration in the perception of the temporal structure of the signal by patients with cochlear implants.

The high level of correlation of the ESRT with MCL can be considered as a basis for using the registration of contralateral ESRT to determine the MCL when setting up a speech processor. However, the clinical utility of ESRT is limited because it is not observed in all CI users. While the registration of ESRT is widely used to assist with CI programming, underlying factors are not well understood. The significant factors of aging and sex could be due to middle ear mechanics or neural health differences. However, further data are needed to better understand these associations.

RECOMMENDATIONS FOR DIFFERENT OBJECTIVE METHODS APPLICATION

Candidates’ selection
Promontorial Test, Pre-Surgery Testing

The trans-tympanic approach for the EABR registration as well as the registration of contralateral ESRT to electrical stimulation are recommended. However, because such tests fail to judge auditory nerve excitability in many cases and based on the results of Lassaletta et al. (2017) the intra-operative EABR registration before the CI with the use of test electrode can be considered as a method of choice.

Surgical stage
Recently the widely used technique during the implantation is NRT, registration of EABR using the inserted CI electrodes as well as recording of the contralateral ESRT.

A significant reduction in the time of intraoperative testing, including AutoNRT, the electrode resistance measurement, determination of ECAP thresholds and threshold profiles, became possible after the introduction into clinical practice of wireless CR120/220 device and later SmartNav solution developed by Cochlear (Australia). The use of CR120/220 ensured a reduction in the time required to register ECAP by 22%, compared to the time spent using CustomSound. At the same time, a high degree of correlation was revealed between the thresholds of ECAP and NRT data recorded using CustomSound. It should also be noted that intraoperative testing using the CR120/220 device can be performed by less qualified personnel. This allows more experienced specialists to devote more time to patients after CI at the rehabilitation stage.

The Nucleus SmartNav provides the diagnostic measurements to confirm the device integrity, auditory system response and supports post-operating fittings. It also provides useful information about the angular insertion depth, speed of insertion and placement check functions, so that a possible electrode displacement or a tip fold-over can still be detected intraoperatively without radiation exposure from x-rays.

Advanced Bionics (Switzerland) recently introduced the AIM system which can use the implant to measure potentials generated by the inner ear and the auditory nerve in response to acoustic stimuli. The ECAP can also be measured with this hand-held device. This continuous and real-time measurement during electrode insertion can provide invaluable feedback to the surgeon.

As noted above, in recent years intracochlear CM registration to acoustic stimulation during the CI electrode insertion into the cochlea has become increasingly relevant, which helps prevent traumatic injuries to the preserved cochlear fine structures. This technique can also be successfully used after surgery to construct audiograms based on CM recording.

Speech Processor Adjustment
During the speech processor mapping the registration of ECAP, EABR and stapedial muscle reflexes to electrical stimulation can be successfully used.

It is recommended to begin the study with ECAP registration to create an initial individual map of stimulation. To determine the level of stimulation of acceptable intensity, it is recommended to begin with ECAP and EABR registration. This level should be used to develop behavioral reflexes to sounds with subsequent adjustment of speech processor based on these reflexes. Additional information on the MCL of stimulation can be provided by results of ESRT registration.

Recently, to assess the adequacy of speech processor settings and the effectiveness of CI in general, increasing attention has been paid to recording of CAEP to both acoustic and electrical stimulation.

CONCLUSIONS

The electrophysiological methods have been widely applied as a clinical tool providing the valuable information about the auditory pathway including cochlear hair cells, auditory nerve, brainstem and auditory cortex. Using different objective measures at different stages of CI we can identify the site of lesion (presynaptic vs. postsynaptic) (ECochG), the auditory nerve functional integrity (EABR) and understand considerable variance in postoperative performance of CI users (CAEP).

The Neural Response Telemetry provides the ECAP threshold determination at different electrodes of cochlear implant which can be used for the precise speech processor mapping, including investigation of amplitude growth function, excitation summation, spread of excitation and recovery function. The intracochlear ECochG to acoustic stimulation supports the real-time feedback intraoperatively and has a potential clinical value to monitor the status of hearing preservation. Additional information could be obtained with estimation of EABR thresholds to electrical stimulation before, during and after implantation. The invaluable information for the estimation of cochlear implantation effectiveness can be obtained by registration of cortical auditory evoked potentials to acoustic and electrical stimulation which is based on the analysis of the P1-N1-P2 complex.

A differentiated approach to the selection of diagnostic methods at different stages of CI will help to improve the diagnostic accuracy, individualize speech processor settings and evaluate the effectiveness of implantation.

DISCLOSURE

Authors declare no conflict of interest.

References

1. Dong Y, Briaire JJ, Stronks HC, Frijns JHM. Speech perception performance in cochlear implant recipients correlates to the number and synchrony of excited auditory nerve fibers derived from electrically evoked compound action potentials. Ear Hear. 2023 Mar-Apr;44(2):276-286. doi: 10.1097/AUD.0000000000001279. Epub 2022 Oct 18. PMID: 36253905.
2. van den Honert C, Stypulkowski PH. Physiologic properties of the electrically stimulated auditory nerve. II. Single fiber recordings. Hear Res. 1984 Jun;14(3):225-243. doi: 10.1016/0378-5955(84)90052-2. PMID: 6480511.
3. Kileny PR, Kemink JL. Electrically evoked middle-latency auditory potentials in cochlear implant candidates. Arch Otolaryngol Head Neck Surg. 1987 Oct;113(10):1072-1077. doi: 10.1001/archotol.1987.01860100050020. PMID: 3620128.
4. Abbas PJ, Brown CJ. Electrically evoked brainstem potentials in cochlear implant patients with multi-electrode stimulation. Hear Res. 1988 Nov;36(2-3):153-162. doi: 10.1016/0378-5955(88)90057-3. PMID: 3209488.
5. Brown CJ, Abbas PJ. Gantz B. Electrically evoked whole-nerve action potentials: data from human cochlear implant users. J Acoust Soc Am. 1990 Sep;88(3):1385-1391. doi: 10.1121/1.399716. PMID: 2229673.
6. Kaga K, Kodera K, Hirota E, Tsuzuku T. P300 response to tones and speech sounds after cochlear implant: a case report. Laryngoscope. 1991 Aug;101(8):905-907. doi: 10.1288/00005537-199108000-00017. PMID: 1865742.
7. Kraus N, McGee T, Carrell T, Sharma A, Micco A, Nicol T. Speech-evoked cortical potentials in children. J Am Acad Audiol. 1993 Jul;4(4):238-248. PMID: 8369541.
8. Abbas PJ, Brown CJ, Shallop JK et al. Summary of results using the nucleus CI24M implant to record the electrically evoked compound action potential. Ear Hear. 1999 Feb;20(1):45-59. doi: 10.1097/00003446-199902000-00005. PMID: 10037065.
9. Goldstein MH, Kiang NYS. Synchrony of neural activity in electric response evoked by transient acoustic stimuli. J Acoust Soc Am. 1958;30(2):107-114. doi: 10.1121/1.1909497.
10. Game C, Gibson W, Pauka C. Electrically evoked brainstem auditory potential. Ann Otol Rhinol. Laryngol. 1987;96(1-Suppl.):94-95. doi: 10.1177/00034894870960S150.
11. Miyamoto R, Brown D. Electrically evoked brainstem responses in cochlear implant recipients. Otolaryngol Head Neck Surg. 1987 Jan;96(1):34-38. doi: 10.1177/019459988709600106. PMID: 3118294.
12. Lai WK, Müller-Deile J, Dillier N et al. Measurement of the electrically evoked compound action potential via a neural response telemetry system. Ann Otol Rhinol Laryngol. 2002 May;111(5Pt1):407-414. doi:10.1177/000348940211100505.
13. He S, Teagle HFB, Buchman CA. The electrically evoked compound action potential: From laboratory to clinic. Front Neurosci. 2017 Jun 23;11:339. doi: 10.3389/fnins.2017.00339. PMID: 28690494; PMCID: PMC5481377.
14. Dziemba OC, Aristeidou A, Brill S. Slope of electrically evoked compound action potential amplitude growth function is site-dependent. Cochlear Implants International. 2020 May;22(3):136-147. https://doi.org/10.1080/14670100.2020.1853956. Epub 2020 Dec 9. PMID: 33297870.
15. Miyamoto RT, Kirk KI, Todd SL, Robbins AM, Osberger MJ. Speech perception skills of children with multichannel cochlear implants or hearing aids. Ann Otol Rhinol Laryngol. 1995 Sep;166 (Suppl.):334-337. PMID: 7668695.
16. Geers AE. Comparing implants with hearing aids in profoundly deaf children. Otolaryngol Head Neck Surg. 1997 Sep;117(3 Pt 1):150-154. doi: 10.1016/s0194-5998(97)70167-0. PMID: 9334758.
17. Skarzynski H, Lorens A, Matusiak M, Porowski M, Skarzynski PH, James CJ. Partial deafness treatment with the nucleus straight research array cochlear implant. Audiol Neurootol. 2012;17(2):82-91. doi: 10.1159/000329366. Epub 2011 Aug 12. PMID: 21846981.
18. Brown CJ, Abbas PJ, Fryauf-Bertschy H, Kelsay D, Gantz BJ. Intraoperative and postoperative electrically evoked auditory brain stem responses in Nucleus cochlear implant users: Implications for the fitting process. Ear Hear. 1994 Apr;15(2):168-176. doi: 10.1097/00003446-199404000-00006. PMID: 8020649.
19. Seo YJ, Kwak C, Kim S, Park YA, Park KH, Han W. Update on Bone-Con¬duction Auditory Brainstem Responses: A Review. J Audiol Otol. 2018; 22:53-58. https://doi.org/10.7874/jao.2017.00346.
20. Tavartkiladze G.A., Potalova L.A., Kruglov A.V., Belov O.A. Effect of stimulation parameters on electrically evoked auditory brainstem responses. Acta Otolaryngol (Stockh). 2000;120(2): 214-217. https://doi.org/10.1080/000164800750000946.
21. Minami S, Kaga K. EABR of inner ear malformation and co¬chlear nerve deficiency after cochlear implantation in children. Modern Otology Book Springer Link 2016. pp. 97-109. https://doi.org/10.1007/978-981-10-1400-0_8.
22. Kileny PR, Zwolan TA. Pre-perioperative, transtympanic electrically evoked auditory brainstem response in children. Int J Audiol. 2004 Dec;43(Suppl1):S16-21. PMID: 15732377.
23. Gibson WP, Sanli H. Auditory neuropathy: an update. Ear Hear. 2007 Apr;28(2 Suppl):102S-106S. doi: 10.1097/AUD.0b013e3180315392. PMID: 17496659.
24. Wesarg T, Arndt S, Aschendorff A et al. Intra- und postoperative elektrophysiologische Diagnostik. HNO. 2016; 65:308–320.
25. Wesarg T, Arndt S, Aschendorff A, Laszig R, Zirn S. Intraoperative audiologisch-technische Diagnostik bei der Cochleaimplantatversorgung. HNO. 2014; 62:725–734.
26. Hodges AV, Butts S, Dolan-Ash S, Balkany TJ. Using electrically evoked auditory reflex thresholds to fit the CLARION cochlear implant. Ann Otol Rhinol Laryngol. 1999 Apr;177 (Suppl.):64-68. doi: 10.1177/00034894991080s413. PMID: 10214804.
27. Mason S. Electrophysiologic and objective monitoring of the cochlear implant during surgery: implementation, audit and outcomes. Int J Audiol. 2004 Dec;43 (Suppl 1):S33-38. PMID: 15732380.
28. Brown CJ, Hughes ML, Luk B, Abbas PJ, Wolaver A, Gervais J. The relationship between EAP and EABR thresholds and levels used to program the nucleus 24 speech processor: data from adults. Ear Hear. 2000 Apr;21(2):151-163. doi: 10.1097/00003446-200004000-00009. PMID: 10777022.
29. Brown CJ. Clinical uses of electrically evoked auditory nerve and brainstem responses. Curr Opin Otolaryngol Head Neck Surg. 2003 Oct;11(5):383-387. doi: 10.1097/00020840-200310000-00013. PMID: 14502071.
30. Gordon KA, Papsin BC, Harrison RV. Toward a battery of behavioral and objective measures to achieve optimal cochlear implant stimulation levels in children. Ear Hear. 2004 Oct;25(5):447-463. doi: 10.1097/01.aud.0000146178.84065.b. PMID: 15599192.
31. Ponton C, Eggermont J. Of kittens and kids: Altered cortical maturation following profound deafness and cochlear implant use. Audiol Neurotol. 2001 Nov-Dec;6(6):363-380. doi:10.1159/000046846. PMID: 11847464.
32. Sharma A, Dorman MF, Spahr AJ. A sensitive period for the development of the central auditory system in children with cochlear implants: Implications for age of implantation. Ear Hear. 2002 Dec;23(6):532-539. doi: 10.1097/00003446-200212000-00004.
33. Nada N, Kolkaila E, Schendzielorz P, El Mahallaw T. Electrically evoked auditory brainstem response in cochlear implantation: what you need to know (short review). Egypt J Otolaryngol. 2022;38(1):67. https://doi.org/10.1186/s43163-022-00259-1.
34. Wang L, Zhang Q, Wang Q, Dong M, Zeng Y. Functional evaluation of auditory system in patients with cochlear implant using electrically evoked auditory brainstem responses. Acoust Phys. 2009;55(6):857-865. https://doi.org/10.1134/S1063771009060207.
35. Campbell L, Kaicer A, Sly D, Iseli C et al. Intraoperative real-time cochlear response telemetry predicts hearing preservation in cochlear implantation. Otol Neurotol. 2016 Apr;37(4):332-338. doi: 10.1097/MAO.0000000000000972. PMID: 26859542.
36. Giardina CK, Brown KD, Adunka OF. Intracochlear Electrocochleography: Response patterns during cochlear implantation and hearing preservation. Ear Hear. 2019 Jul/Aug;40(4):833-848. doi: 10.1097/AUD.0000000000000659. PMID: 30335669; PMCID: PMC6534483.
37. Dalbert A, Sijgers L, Grosse J, Veraguth D, Roosli C, Huber A, Pfiffner F. Simultaneous Intra- and Extracochlear Electrocochleography During Electrode Insertion. Ear Hear. 2021 Mar/Apr;42(2):414-424. doi: 10.1097/AUD.0000000000000935. PMID: 32826509.
38. Patuzzi RB, Yates GK, Johnstone BM. Changes in cochlear microphonic and neural sensitivity produced by acoustic trauma. Hear Res. 1989;39:189-202. https://doi.org/10.1016/0378-5955(89)90090-7.
39. Kiefer J, Böhnke F, Adunka O, Arnold W. Representation of acoustic signals in the human cochlea in presence of a cochlear implant electrode. Hear Res. 2006 Nov;221(1-2):36-43. doi: 10.1016/j.heares.2006.07.013. Epub 2006 Sep 7. PMID: 16962268.
40. Weder S, Bester C, Collins A, Shaul C, Briggs RJ, O’Leary S. Toward a better understanding of electrocochleography: Analysis of real-time recordings. Ear Hear. 2020 Nov/Dec;41(6):1560-1567. doi: 10.1097/AUD.0000000000000871. PMID: 33136631.
41. O’Leary S, Briggs R, Gerard JM et al. Intraoperative Observational real-time electrocochleography as a predictor of hearing loss after cochlear implantation: 3 and 12 month outcomes. Otol Neurotol. 2020 Oct; 41(9):1222-1229. doi: 10.1097/MAO.0000000000002773.
42. Abbas PJ, Tejani VD, Scheperle RA, Brown CJ. Using neural response telemetry to monitor physiological responses to acoustic stimulation in hybrid cochlear implant users. Ear Hear. 2017 Jul/Aug;38(4):409-425. doi: 10.1097/AUD.0000000000000400. PMID: 28085738; PMCID: PMC5482777.
43. Campbell L, Kaicer A, Briggs R, O’Leary S. Cochlear response telemetry: intracochlear electrocochleography via cochlear implant neural response telemetry pilot study results. Otol Neurotol. 2015 Mar;36(3):399-405. doi: 10.1097/MAO.0000000000000678. PMID: 25473960.
44. Kim JS, Tejani VD, Abbas PJ, Brown CJ. Postoperative electrocochleography from hybrid cochlear implant users: An alternative analysis procedure. Hear Res. 2018 Dec;370:304-315. doi: 10.1016/j.heares.2018.10.016. Epub 2018 Oct 29. PMID: 30393003; PMCID: PMC6309996.
45. O’Connell BP, Holder JT, Dwyer RT et al. Intra- and postoperative electrocochleography may be predictive of final electrode position and postoperative hearing preservation. Front Neurosci. 2017 May 29;11:291. doi: 10.3389/fnins.2017.00291. PMID: 28611574; PMCID: PMC5447029.
46. Koka K, Riggs WJ, Dwyer R et al. Intra-cochlear electrocochleography during cochear implant electrode insertion is predictive of final scalar location. Otol Neurotol. 2018 Sep;39(8):e654-e659. doi: 10.1097/MAO.0000000000001906. PMID: 30113557; PMCID: PMC6097527.
47. Pelizzone M, Kasper A, Montandon P. Binaural interaction in a cochlear implant patient. Hear Res. 1990 Oct;48(3):287-290. doi: 10.1016/0378-5955(90)90069-2. PMID: 2272938.
48. Ponton CW, Don M. The mismatch negativity in cochlear implant users. Ear Hear. 1995 Feb;16(1):131-146. doi: 10.1097/00003446-199502000-00010. PMID: 7774766.
49. Groenen P, Makhdoum, M, van den Brink JL, Stollman MH, Snik AF, van den Broek P. The relation between electric auditory brain stem and cognitive responses and speech perception in cochlear implant users. Acta Otolaryngol (Stockh). 1996 Nov;116(6):785-790. doi: 10.3109/00016489609137926. PMID: 8973707.
50. Ponton CW, Don M, Eggermont JJ, Waring MD, Kwong B, Masuda A. Auditory system plasticity in children after long periods of complete deafness. NeuroReport. 1996 Dec 20;8(1):61-65. DOI: 10.1097/00001756-199612200-00013. PMID: 9051753.
51. Ponton CW, Eggermont JJ, Don M et al. Maturation of the mismatch negativity: effects of profound deafness and cochlear implant use. Audiol Neurotol. 2000 May-Aug;5(3-4):167-185. doi: 10.1159/000013878. PMID: 10859411.
52. Purdy SC, Kelly AS, Thorne PR. Auditory evoked potentials as measures of plasticity in humans. Audiol Neurotol. 2001 Jul-Aug;6(4):211-215. doi: 10.1159/000046835. PMID: 11694730.
53. Firszt JB, Chambers RD, Kraus N. Neurophysiology of cochlear implant users: II. Comparison among speech perception, dynamic range and physiological measures. Ear Hear. 2002b Dec;23(6): 516-531. doi: 10.1097/00003446-200212000-00003. PMID: 12476089.
54. Firszt JB, Chambers RD, Kraus N, Reeder RM. Neurophysiology of cochlear implant users I: effects of stimulus current level and electrode site on the electrical ABR, MLR, and N1–P2 response. Ear Hear. 2002a Dec;23(6):502-515. DOI: 10.1097/00003446-200212000-00002. PMID: 12476088.
55. Maurer J, Collet L, Pelster H, Truy E, Gallégo S. Auditory late cortical response and speech recognition in Digisonic cochlear implant users. Laryngoscope. 2002 Dec;112(12):2220-2224. doi: 10.1097/00005537-200212000-00017. PMID: 12461344.
56. Gordon KA, Tanaka S, Papsin BC. Atypical cortical responses underlie poor speech perception in children using cochlear implants. Neuroreport. 2005 Dec 19;16(18):2041-2045. doi: 10.1097/00001756-200512190-00015. PMID: 16317351.
57. Korczak PA, Kurtzberg D, Stapells DR. Effects of sensorineural hearing loss and personal hearing AIDS on cortical event-related potential and behavioral measures of speech-sound processing. Ear Hear. 2005 Apr;26(2):165-185. doi: 10.1097/00003446-200504000-00005. PMID: 15809543.
58. Sharma A, Dorman M, Kral A. The influence of a sensitive period on central auditory development in children with unilateral and bilateral cochlear implants. Hear Res. 2005 Apr; 203(1-2):134-143. doi: 10.1016/j.heares.2004.12.010. Epub 2011 Feb 5. PMID: 21295863; PMCID: PMC3069302.
59. Chang HW, Dillon H, Carter L, van Du, B, Young ST. The relationship between cortical auditory evoked potential (CAEP) detection and estimated audibility in infants with sensorineural hearing loss. Int J Audiol. 2012 Sep;51(9):663-670. doi: 10.3109/14992027.2012.690076. Epub 2012 Jul 2. PMID: 22873205.
60. Glista D, Easwar V, Purcell DW, Scollie S. A pilot study on cortical auditory evoked potentials in children: Aided CAEPs reflect improved high-frequency audibility with frequency compression hearing aid Technology. Int J Otolaryngol. 2012;2012:982894. doi: 10.1155/2012/982894. Epub 2012 Oct 31. PMID: 23197983; PMCID: PMC3501956.
61. Deng JH, Du JH, Ma XR, Zhang PF. Application of auditory cortical evoked potentials for auditory assessment in people using auditory prosthesis. Exp Ther Med. 2019 Mar;17(3):1877-1883. doi: 10.3892/etm.2018.7140. Epub 2018 Dec 28. PMID: 30783463; PMCID: PMC6364192.
62. Távora-Vieira D, Wedekind A, Ffoulkes E, Voola M, Marino R. Cortical auditory evoked potential in cochlear implant users: An objective method to improve speech perception. PLoS One. 2022 Oct;17(10):e0274643. doi: 10.1371/journal.pone.0274643. PMID: 36206248; PMCID: PMC9543874.
63. Kelly AS, Purdy SC, Thorne PR. Electrophysiological and speech perception measures of auditory processing in experienced adult cochlear implant users. Clin Neurophysiol. 2005 Jun;116(6):1235-1246. doi: 10.1016/j.clinph.2005.02.011. Epub 2005 Apr 26. PMID:15978485.
64. Abbas PJ, Brown CJ. Assessment of responses to cochlear implant stimulation at different levels of the auditory pathway. Hear Res. 2015 Apr;322:67-76. doi: 10.1016/j.heares.2014.10.011. Epub 2014 Nov 4. PMID: 25445817; PMCID: PMC4380632.
65. Visram AS, Innes-Brown H, El-Deredy W, McKay CM. Cortical auditory evoked potentials as an objective measure of behavioral thresholds in cochlear implant users. Hear Res. Sep;327:35-42. doi: 10.1016/j.heares.2015.04.012. Epub 2015 May 7. PMID: 25959269.
66. Kiang NYS, Moxon EC. Physiological considerations in artificial stimulation of the inner ear. Ann Otol Rhinol Laryngol. 1972 Oct;81(5):714-730. doi: 10.1177/000348947208100513. PMID: 4651114.
67. Kim JR., Abbas PJ, Brown CJ, Etler CP, O’Brien S, Kim LS. The relationship between electrically evoked compound action potential and speech perception: a study in cochlear implant users with short electrode array. Otol Neurotol. 2010 Sept;31(7):1041-1048. doi: 10.1097/MAO.0b013e3181ec1d92. PMID: 20634770; PMCID: PMC2933654.
68. Kirby AE, Middlebrooks JC. Unanesthetized auditory cortex exhibits multiple codes for gaps in cochlear implant pulse trains. JARO. 2012;13:67-80. doi: 10.1007/s10162-011-0293-0.
69. Garadat SN, Zwolan TA, Pfingst BE. Across-site patterns of modulation detection: relation to speech recognition. J Acoust Soc Am. 2012;131(5):4030-4041. doi: 10.1121/1.3701879. Erratum in: J Acoust Soc Am. 2013 Jul;134(1):715. PMID: 22559376; PMCID: PMC3356319.
70. Garadat SN, Zwolan, TA, Pfingst BE. Using temporal modulation sensitivity to select stimulation sites for processor MAPs in cochlear implant listeners. Audiol Neurotol. 2013;18(4):247-260. doi: 10.1159/000351302. Epub 2013 Jul 20. PMID: 23881208; PMCID: PMC3874548.
71. Long C.J, Holden TA, McClelland GH et al. Examining the electro-neural interface of cochlear implant users using psychophysics, CT scans, and speech understanding. J Assoc Res Otolarynogol. 2014 Apr;15(2):293-304. doi: 10.1007/s10162-013-0437-5. Epub 2014 Jan 30. PMID: 24477546; PMCID: PMC3946134.
72. Pfingst BE, Hughes AP, Colesa DJ, Watts MM, Strahl SB, Raphael Y. Insertion trauma and recovery of function after cochlear implantation: evidence from objective functional measures Hear Res. 2015b Dec; 330(Pta A):98-105. doi: 10.1016/j.heares.2015.07.010. Epub 2015 Jul 21. PMID: 26209185; PMCID: PMC4674315.
73. Pfingst BE, Zhou N, Colesa DJ et al. Importance of cochlear health for implant function. Hear Res. 2015a Apr;322:77-88. doi: 10.1016/j.heares.2014.09.009. Epub 2014 Sep 28. PMID: 25261772; PMCID: PMC4377117.
74. Brown CJ, Hughes ML, Luk B, Abbas PJ, Wolaver A, Gervais J. The relationship between EAP and EABR thresholds and levels used to program the nucleus 24 speech processor: data from adults. Ear Hear. 2000 Apr;21(2):151-163. doi: 10.1097/00003446-200004000-00009. PMID: 10777022.
75. Hughes ML, Brown CJ, Abbas PJ, Wolaver AA, Gervais JP. Comparison of ECAP thresholds with MAP levels in the nucleus 24 cochlear implant: data from children. Ear Hear. 2000 Apr;21(2):164-174. doi: 10.1097/00003446-200004000-00010. PMID: 10777023.
76. Thai-Van H, Chanal JM, Coudert C, Veuillet E, Truy E, Collet L. Relationship between NRT measurements and behavioral levels in children with the Nucleus 24 cochlear implant may change over time: preliminary report. Int J Pediatr Otorhinolaryngol. 2001 Apr 27;58(2):153-62. doi: 10.1016/s0165-5876(01)00426-8. PMID: 11278024.
77. Gordon KA, Ebinger KA, Gilden JE, Shapiro WH. Neural response telemetry in 12- and 24-month-old children. Ann Oto. Rhinol Laryngol. 2002 May;189(Suppl.):42-48. doi: 10.1177/00034894021110S509. PMID: 12018347.
78. Eisen MD, Franck KH. Electrically evoked compound action potential amplitude growth functions and HiResolution programming levels in pediatric CII implant users. Ear Hear. 2004 Dec;25(6):528-538. doi: 10.1097/00003446-200412000-00002. PMID: 15604914.
79. Botros A, Psarros C. Neural response telemetry reconsidered: II. The influence of neural population on the ECAP recovery function and refractoriness. Ear Hear. 2010 Jun;31(3):380-391. doi: 10.1097/AUD.0b013e3181 cb41aa. PMID: 20090532.
80. Hughes ML, Castioni EE, Goehring JL, Baudhuin JL. Temporal response properties of the auditory nerve: data from human cochlear-implant recipients. Hear Res. 2012 Mar;285(4):46-57. doi: 10.1016/j.heares.2012.01.010. PMID: 26655913; PMCID: PMC5065100.
81. Lee ER, Friedland DR, Runge CL. Recovery from forward masking in elderly cochlear implant users. Otol Neurotol. 2012 Apr;33(3):355-363. doi: 10.1097/MAO.0b013e318248ede5. PMID: 22410729.
82. He S, Abbas PJ, Doyle DV, McFayden TC, Mulherin S. Temporal response properties of the auditory nerve in children with auditory neuropathy spectrum disorder and implanted children with sensorineural hearing loss. Ear Hear. 2016 Jul-Aug;37(4):397-411. doi:10.1097/AUD.0000000000000254. PMID: 26655913; PMCID: PMC5065100.
83. Brown CJ, Abbas PJ, Gantz BJ. Preliminary experience with neural response telemetry in the nucleus CI24M cochlear implant. Am J Otol. 1998 May;19(3):320-327. PMID: 9596182.
84. Lai WK, Dillier N. A simple two-component model of the electrically evoked compound action potential in the human cochlea. Audiol Neurotol. 2000 Nov-Dec;5(6):333-345. doi: 10.1159/000013899. PMID: 11025333.
85. Cafarelli Dees D, Dillier N, Lai W et al. Normative findings of electrically evoked compound action potential measurements using the neural response telemetry of the Nucleus CI24M cochlear implant system. Audiol. Neurotol. 2005 Mar-Apr;10(2):105-116. doi: 10.1159/000083366. Epub 2005 Jan 12. PMID: 15650302.
86. Miller CA, Hu N, Zhang F, Abbas PJ. Changes across time in the temporal responses of auditory nerve fibers stimulated by electric pulse trains. J Assoc Res Otolaryngol. 2008 Mar;9(1):122-137. doi: 10.1007/s10162-007-0108-5. Epub 2008 Jan 17. PMID: 18204987; PMCID: PMC2536806.
87. Stypulkowski PH, van den Honert C. Physiological properties of the electrically stimulated auditory nerve. I. Compound action potential recordings. Hear Res. 1984 Jun;14(3):205-223. doi: 10.1016/0378-5955(84)90051-0. PMID: 6480510.
88. van de Heyning P, Arauz SL, Atlas M et al. Electrically evoked compound action potentials are different depending on the site of cochlear stimulation. Cochlear Implants Int. 2016 Nov; 17(6):251-262. doi: 10.1080/14670100.2016.1240427. Epub 2016 Nov 30. PMID: 27900916.
89. Brown CJ, Abbas PJ, Etlert CP, O’Brient S, Oleson JJ. Effects of long-term use of a cochlear implant on the electrically evoked compound action potential. J Am Acad Audiol. 2010 Jan;21(1):5-15. doi: 10.3766/jaaa.21.1.2. PMID: 20085195; PMCID: PMC2881552.
90. Frijns JH, Briaire JJ, de Laat JA, Grote JJ. Initial evaluation of the Clarion CII cochlear implant: speech perception and neural response imaging. Ear Hear. 2002 Jun;23(3):184-97. doi: 10.1097/00003446-200206000-00003. PMID: 12072611.
91. Polak M, Hodges AV, King JE, Balkany TJ. Further prospective findings with compound action potentials from Nucleus 24 cochlear implants. Hear Res. 2004 Feb;188(1-2):104-116. doi: 10.1016/S0378-5955(03)00309-5.
92. Brill S, Müller J, Hagen R et al. Site of cochlear stimulation and its effect on electrically evoked compound action potentials using the MED-EL standard electrode array. Biomed Eng Online. 2009 Dec 16;16(8):40. doi: 10.1186/1475-925X-8-40. PMID: 20015362; PMCID: PMC2803480.
93. Tejani VD, Abbas PJ, Brown CJ. Relationship between peripheral and psychophysical measures of amplitude modulation detection in cochlear implant users. Ear Hear. 2017 Sep/Oct; 38:e268-e284. doi: 10.1097/AUD.0000000000000417. PMID: 28207576; PMCID: PMC5557710.
94. Kashio A, Tejani VD, Scheperle RA, Brown CJ, Abbas PJ. Exploring the source of neural responses of different latencies obtained from different recording electrodes in cochlear implant users. Audiol Neurotol. 2016;21(3):141-149. doi: 10.1159/000444739. Epub 2016 Apr 16. PMID: 27082667; PMCID: PMC4949124.
95. Macherey O, van Wieringen A, Carlyon RP, Deeks JM, Wouters J. Asymmetric pulses in cochlear implants: effects of pulse shape, polarity, and rate. J Assoc Res Otolaryngol. 2006 Sep;7(3):253-266. doi: 10.1007/s10162-006-0040-0. Epub 2006 May 20. PMID: 16715356; PMCID: PMC2504608.
96. Macherey O, Carlyon RP, van Wieringen A, Deeks JM, Wouters J. Higher sensitivity of human auditory nerve fibers to positive electrical currents. J Assoc Res Otolaryngol. 2008 Jun; 9(2):241-251. doi: 10.1007/s10162-008-0112-4. Epub 2008 Feb 21. PMID: 18288537; PMCID: PMC2413083.
97. Undurraga JA, Carlyon RP, Macherey O, Wouters J, van Wieringen A. Spread of excitation varies for different electrical pulse shapes and stimulation modes in cochlear implants. Hear Res. 2012 Aug;290(1-2):21-36. doi: 10.1016/j.heares.2012.05.003.
98. Undurraga JA, van Wieringen A, Carlyon RP, Macherey O, Wouters J. Polarity effects on neural responses of the electrically stimulated auditory nerve at different cochlear sites Hear Res. 2010 Oct 1;269(1-2):146-161. doi: 10.1016/j.heares.2010.06.017. Epub 2010 Jul 1. PMID: 20600739.
99. Baudhuin JL, Hughes ML, Goehring JL. A Comparison of alternating polarity and forward masking artifact-reduction methods to resolve the electrically evoked compound action potential. Ear Hear. 2016 Jul-Aug;37(4):e247-55. doi: 10.1097/AUD.0000000000000288. PMID: 26928001; PMCID: PMC4925180.
100. Smoorenburg GF, Willeboer C, van Dijk JE. Speech perception in Nucleus CI24M cochlear implant users with processor settings based on electrically evoked compound action potential thresholds. Audiol Neurotol. 2002 Nov-Dec;7(6):335-347. doi: 10.1159/000066154. PMID: 12401965.
101. Thai-Van H, Truy E, Charasse B et al. Modeling the relationship between psychophysical perception and electrically evoked compound action potential threshold in young cochlear implant recipients: clinical implications for implant fitting. Clin Neurophysiol. 2004 Dec;115(12):2811-2824. doi: 10.1016/j.clinph.2004.06.024. PMID: 15546789.
102. McKay CM, Chandan K, Akhoun I, Siciliano C, Kluk K. Can ECAP measures be used for totally objective programming of cochlear implants? JARO. 2013 Dec;14(6):879-890. doi: 10.1007/s10162-013-0417-9. Epub 2013 Sep 19. PMID: 24048907; PMCID: PMC3825020.
103. McKay CM, Fewster L, Dawson P. A different approach to using neural response telemetry for automated cochlear implant processor programming. Ear Hear. 2005 Aug;26(4 Suppl.):38S-44S. doi: 10.1097/00003446-200508001-00006. PMID: 16082266.
104. Potts LG, Skinner MW, Gotter BD, Strube MJ, Brenner CA. Relation between neural response telemetry thresholds, T- and C-levels, and loudness judgements in 12 adult Nucleus 24 cochlear implant recipients. Ear Hear. 2007 Aug;28(4): 495-511. doi: 10.1097/AUD.0b013e31806dc16e. PMID: 17609612.
105. Shepherd RK, Clark GM, Black RC. Chronic electrical stimulation of the auditory nerve in cats: Physiological and histopathological results. Acta Otolaryngol (Stockh). 1983;95(Suppl 399):19-31. doi: 10.3109/00016488309105589. PMID: 6316712.
106. Yang H, Won JH, Choi I, Woo J. A computational study to model the effect of electrode-to-auditory nerve fiber distance on spectral resolution in cochlear implant. PLoS ONE. 2020 Aug 3;15(8):e0236784. https://doi.org/10.1371/journal.pone.0236784.
107. Snel-Bongers J, Briaire JJ, Vanpoucke FJ, Frijns JH. Spread of excitation and channel interaction in single- and dual-electrode cochlear implant stimulation. Ear Hear. 2012 May-Jun;33(3):367-376. doi: 10.1097/AUD.0b013e318234efd5. PMID: 22048258.
108. Carlyon RP, Deeks JM. Combined neural and behavioral measures of temporal pitch perception in cochlear implant users. J Acoust Soc Am. 2015 Nov;138(5):2885-2905. doi: 10.1121/1.4934275. PMID: 26627764.
109. Scheperle RA, Abbas PJ. Peripheral and central contributions to cortical responses in cochlear implant users. Ear Hear. 2015a Jul-Aug; 36(4):430-440. doi: 10.1097/AUD.0000000000000143. PMID: 25658747; PMCID: PMC4478140.
110. Scheperle RA, Abbas PJ. Relationships among peripheral and central electrophysiological measures of spatial and spectral selectivity and speech perception in cochlear implant users. Ear Hear. 2015b Jul-Aug; 36(4):441-453. doi: 10.1097/AUD.0000000000000144. PMID: 25658746; PMCID: PMC4478147.
111. Pfingst BE. Effects of electrode configuration on cochlear implant modulation detection thresholds. J Acoust Soc Am. 2011 Jun;129(6):3908-3915. doi: 10.1121/1.3583543.
112. Spitzer ER, Hughes ML. Effect of Stimulus Polarity on Physiological Spread of Excitation in Cochlear Implants. J Am Acad Audiol. 2017 Oct;28(9):786-798. doi: 10.3766/jaaa.16144. PMID: 28972468; PMCID: PMC5657495.
113. Kopsch AC, Rahne T, Plontke SK, Wagner L. Influence of the spread of electric field on neural excitation in cochlear implant users: Transimpedance and spread of excitation measurements. Hear Res. 2022 Oct;424.108591, ISSN 0378-5955, doi: 10.1016/j.heares.2022.108591. Epub 2022 Jul 23. PMID: 35914395.
114. Franck KH, Norton SJ. Estimation of psychophysical levels using the electrically evoked compound action potential measured using the neural response telemetry capabilities of Cochlear Corporation’s CI24M device. Ear Hear. 2001 Aug;22(4):289-299. doi: 10.1097/00003446-200108000-00004. PMID: 11527036.
115. Ji F, Liu K, Yang S. Clinical application of electrically evoked compound action potentials. J Otol. 2014;9(3):117-121. https://doi.org/10.1016/j.joto.2014.11.002.
116. de Vos JJ, Biesheuvel JD, Briaire JJ et al. Use of electrically evoked compound action potentials for cochlear implant fitting: A systematic review. Ear Hear. 2018 May/Jun;39(3):401-411. doi: 10.1097/AUD.0000000000000495. PMID: 28945656.
117. Leake PA, Hradek GT. Cochlear pathology of long-term neomycin induced deafness in cats. Hear Res. 1988;33:11-33. doi: 10.1016/0378-5955(88)90018-4.
118. Leake-Jones PA, Vivion MC, O’Reilly BF, Merzenich MM. Deaf animal models for studies of a multichannel cochlear prosthesis. Hear Res. 1982 Apr;891):225-246. https://doi.org/10.1016/0378-5955(82)90076-4. PMID: 3372368.
119. Nadol JB Jr. Degeneration of cochlear neurons as seen in the spiral ganglion of man. Hear Res. 1990 Nov;49(1-3):141-154. doi: 10.1016/0378-5955(90)90101-t. PMID: 2292494.
120. Suzuka Y, Schuknecht HF. Retrograde cochlear neuronal degeneration in human subjects. Acta Otolaryngol (Stockh). 1988;450 (Suppl 450):1-20. doi: 10.3109/00016488809098973. PMID: 3207012.
121. Cohen LT, Saunders E, Richardson LM. Spatial spread of neural excitation: comparison of compound action potential and forward-masking data in cochlear implant recipients. Int J Audiol. 2004;43(6):346-355. doi: 10.1080/14992020400050044. PMID: 15457817.
122. Grolman V, Maat A, Verdam F et al. Spread of excitation measurements for the detection of electrode array foldovers: A prospective study comparing 3-dimentional rotational x-ray and intraoperative spread of excitation measurements. Otol Neurotol. 2009 Jan;30(1):27-33. https://doi.org/10.1097/mao.0b013e31818f57ab PMID: 19108069
123. Zuniga MG, Rivas A, Hedley-Williams A et al. Tip fold-over in cochlear implantation: Case series. Otol Neurotol. 2017;38(2):199-206. doi: 10.1097/MAO.0000000000001283. PMID: 27918363; PMCID: PMC5584995.
124. Hall RD. Estimation of surviving spiral ganglion cells in the deaf rat using the electrically evoked auditory brainstem response. Hear Res. 1990 Nov;45(1-3):123-136. doi: 10.1016/0378-5955(90)90188-u. PMID: 2292495.
125. Miller CA, Abbas PJ, Robinson BK. The use of long-duration current pulses to assess nerve survival. Hear Res. 1994 Jul;78(1):11-26. doi: 10.1016/0378-5955(94)90039-6. PMID: 7961173.
126. Brown CJ, Abbas PJ, Borland J, Bertschy MR. Electrically evoked whole nerve action potentials in Ineraid cochlear implant users: responses to different stimulating electrode configurations and comparison to psychophysical responses. J Speech Hear Res. 1996 Jun;39(3):453-467. doi: 10.1044/jshr.3903.453. PMID: 8783126.
127. Calloway NH, Fitzpatrick DC, Campbell AP et al. Intracochlear electrocochleography during cochlear implantation. Otol Neurotol. 2014 Sep;35(8):1451-1457. doi: 10.1097/MAO.0000000000000451. PMID: 24892369.
128. Campbell L, Bester C, Iseli C, Sly D, Dragovic A, Gummer AW, O’Leary S. Electrophysiological evidence of the basilar membrane travelling wave and frequency place coding of sound in cochlear implant recipients. Audiol Neurotol. 2017;22(3):180-189. doi: 10.1159/000478692. Epub 2017 Oct 31. PMID: 29084395.
129. Harris MS, Riggs WJ, Giardina CK et al. Patterns seen during electrode insertion using intracochlear electrocochleography obtained directly through a cochlear implant. Otol Neurotol. 2017a Dec;38(10):1415-1420. doi: 10.1097/MAO.0000000000001559. PMID: 28953607; PMCID: PMC5920552.
130. Harris MS, Riggs WJ, Koka K et al. Real-time intracochlear electrocochleography obtained directly through a cochlear implant. Otol Neurotol. 2017b Jul;38(6):e107-e113. doi: 10.1097/MAO.0000000000001425. PMID: 28498269.
131. Dalbert A, Pfiffner F, Hoesli M et al. Assessment of cochlear function during cochlear implantation by extra- and intracochlear electrocochleography. Front Neurosci. 2018 Jan 26; 12:18. doi: 10.3389/fnins.2018.00018. PMID: 29434534; PMCID: PMC5790789.
132. Riggs WJ, Dwyer RT, Holder JT et al. Intracochlear electrocochleography: Influence of scalar position of the cochlear implant electrode on postinsertion results. Otol Neurotol. 2019 Jun;40(5):e503-e510. doi: 10.1097/MAO.0000000000002202. PMID: 31083085; PMCID: PMC6530483.
133. Saoji AA, Patel NS, Carlson ML et al. Multi-frequency electrocochleography measurements can be used to monitor and optimize electrode placement during cochlear implant surgery. Otol Neurotol. 2019 Dec;40(10):1287-1291. doi: 10.1097/MAO.0000000000002406. PMID: 31644474.
134. Tejani VD, Abbas PJ, Brown CJ, Woo J. An improved method of obtaining electrocochleography recordings from Nucleus Hybrid cochlear implant users. Hear Res. 2019 Mar 1;373:113-120. https://doi.org/10.1016/j.heares.2019.01.002. Epub 2019 Jan 9. PMID: 30665078; PMCID: PMC6421572.
135. Tejani VD, Kim J-S, Oleson JJ et al. Residual hair cell responses in electric-acoustic stimulation cochlear implant users with complete loss of acoustic hearing after implantation. JARO. 2021 Apr;22(2):161-176. https://doi.org/10.1007/s10162-021-00785-4. Epub 2021 Feb 4. PMID: 33538936; PMCID: PMC7943691.
136. O’Leary S, Briggs R, Gerard JM et al. Intraoperative observational real-time electrocochleography as a predictor of hearing loss after cochlear implantation: 3- and 12-months outcomes. Otol Neurotol. 2020 Oct;41(9):1222-1229. doi: 10.1097/MAO.0000000000002773. PMID: 32925842; PMCID: PMC7497893.
137. Harris MS, Koka K, Riggs WJ et al. Can electrocochleography help preserve hearing after cochlear implantation with full electrode insertion? Otol Neurotol. 2022 Aug 1;43(7):789-796. doi: 10.1097/MAO.0000000000003588. Epub 2022 Jul 19. PMID: 35861647.
138. Lenarz T, Buechner A, Gantz B et al. Relationship between intraoperative electrocochleography and hearing preservation. Otol Neurotol. 2022 Jan1;43(1):e72-e78. doi: 10.1097/MAO.0000000000003403. PMID: 34739427; PMCID: PMC8671360.
139. Saoji AA, Graham MK, Adkins WJ et al. Relationship between intraoperative electrocochleography responses and immediate postoperative bone conduction thresholds in cochlear implantation. Otol Neurotol. 2022 Sep 1;43(8):880-887. doi: 10.1097/MAO.0000000000003620. PMID: 35970166.
140. Tejani VD, Kim JS, Etler CP et al. Longitudinal electrocochleography as an objective measure of serial behavioral audiometry in electro-acoustic stimulation patients. Ear Hear. 2023 Sep-Oct 01;44(5):1014-1028. doi: 10.1097/AUD.0000000000001342. Epub 2023 Feb 15. PMID: 36790447; PMCID: PMC10425573.
141. Bester CW, Campbell L, Dragovic A, Collins A, O’Leary SJ. Characterizing Electrocochleography in cochlear implant recipients with residual low-frequency hearing. Front Neurosci. 2017 Mar 23;11:141. doi: 10.3389/fnins.2017.00141. PMID: 28386212; PMCID: PMC5363175.
142. Koka K, Saoji AA, Litvak LM. Electrocochleography in cochlear implant recipients with residual hearing: Comparison with audiometric thresholds. Ear Hear. 2017 May/Jun;38(3):e161-e167. doi: 10.1097/AUD.0000000000000385. PMID: 27879487.
143. O’Connell BP, Holder JT, Dwyer RT et al. Intra- and postoperative electrocochleography may be predictive of final electrode position and postoperative hearing preservation. Front Neurosci. 2017 May 29;11:291. doi: 10.3389/fnins.2017.00291. PMID: 28611574; PMCID: PMC5447029.
144. Fontenot TE, Giardina CK, Dillon M et al. Residual cochlear function in adults and children receiving cochlear implants: Correlations with speech perception outcomes. Ear Hear. 2019 May/Jun;40(3):577-591. https://doi.org/10.1097/AUD.0000000000000630. Erratum in: Ear Hear. 2019 Jul/Aug;40(4):1034. doi: 10.1097/AUD.0000000000000757. PMID: 30169463; PMCID: PMC6533622.
145. Canfarotta MW, O’Connell BP, Giardin CK et al. Relationship between electrocochleography, angular insertion depth, and cochlear implant speech perception outcomes. Ear Hear. 2021 July/Aug; 42(4): 941-948. https://doi.org/10.1097/AUD.0000000000000985. PMID: 33369942; PMCID: PMC8217403.
146. Buechner A, Bardt M, Haumann S, Geissler G, Salcher R, Lenarz T. Clinical experiences with intraoperative electrocochleography in cochlear implant recipients and its potential to reduce insertion trauma and improve postoperative hearing preservation. PLoS One. 2022 Apr 22;17(4):e0266077. doi: 10.1371/journal.pone.0266077. PMID: 35452461; PMCID: PMC9032378.
147. Walia A, Shew MA, Kallogjeri D et al. Electrocochleography and cognition are important predictors of speech perception outcomes in noise for cochlear implant recipients. Sci Rep. 2022 Feb 23;12(1):3083. doi: 10.1038/s41598-022-07175-7. PMID: 35197556; PMCID: PMC8866505.
148. Kim JS. Clinical applications of intracochlear electrocochleography in cochlear implant users with residual acoustic hearing. J Audiol Otol. 2024 Apr;28(2):100-106. DOI: 10.7874/jao.2024.00129. Epub 2024 Apr 10. PMID: 38695055; PMCID: PMC11065546.
149. Dalbert A, Pfiffner F, Röösli C et al. Extra- and intracochlear electrocochleography in cochlear implant recipients. Audiol Neurotol. 2015;20(5):339-348. doi: 10.1159/000438742. PMID: 26340649.
150. Koka K, Litvak LM. Feasibility of using electrocochleography for objective estimation of electro-acoustic interactions in cochlear implant recipients with residual hearing. Front Neurosci. 2017 June 15;11:337. doi:10.3389/fnins.2017.00337. PMID: 28674482; PMCID: PMC5475389.
151. Koka K, Saoji AA, Attias J, Litvak LM. An objective estimation of air-bone-gap in cochlear implant recipients with residual hearing using electrocochleography. Front Neurosci. 2017 Apr 18;11:210. doi: 10.3389/fnins.2017.00210. PMID: 28458630; PMCID: PMC5394163.
152. Rader T, Döge J, Adel Y, Weissgerber T, Baumann U. Place dependent stimulation rates improve pitch perception in cochlear implantees with single-sided deafness. Hear Res. 2016 Sep;339:94-103. doi: 10.1016/j.heares.2016.06.013. Epub 2016 Jul 1. Erratum in: Hear Res. 2017; 354:109. doi: 10.1016/j.heares.2017.09.009. PMID: 27374479.
153. Kral A, Tillein J. Brain plasticity under cochlear implant stimulation. Adv Otorhinolaryngol. 2006;64:89-108. doi: 10.1159/000094647. PMID: 16891838.
154. Kiang, NYS. Stimulus coding in the auditory nerve and cochlear nucleus. Acta Otolaryngol (Stockh). 1965;59(2-6):186–200. https://doi.org/10.3109/00016486509124552.
155. Thai-Van H, Cozma S, Boutitie F, Disant F, Truy E, Collet L. The pattern of auditory brainstem response wave V maturation in cochlear-implanted children. Clin Neurophysiol. 2007 Mar;118(3):676-689. doi: 10.1016/j.clinph.2006.11.010. Epub 2007 Jan 16. PMID: 17223382.
156. Hodges AV, Ruth RA, Lambert PR, Balkany TJ. Electric auditory brain-stem responses in Nucleus multichannel cochlear implant users. Arch Otolaryngol Head Neck Surg. 1994 Oct;120(10):1093-1099. doi:10.1001/archotol.1994.01880340037007. PMID: 7917192.
157. Abdelsalam NMS, Afifi PO. Electric auditory brainstem response (E-ABR) in cochlear implant children: Effect of age at implantation and duration of implant use. Egyptian Journal of Ear, Nose, Throat and Allied Sciences. 2015;16(2):145-150. ISSN 2090-0740, https://doi.org/10.1016/j.ejenta.2015.03.001.
158. Wackym PA, Firszt JB, Gaggl W, Runge-Samuelson CL, Reeder RM, Raulie JC. Electrophysiologic effects of placing cochlear implant electrodes in a perimodiolar position in young children. Laryngoscope. 2004 Jan;114(1):71- 77. https://doi.org/10.1097/00005537-200401000-00012
159. Steel KP, Bock GR. Electrically-evoked responses in animals with progressive spiral ganglion degeneration. Hear Res. 1984 Jul;15(1):59-67.
doi: 10.1016/0378-5955(84)90225-9. PMID: 6541219.
160. Simmons FB, Smith L. Estimating nerve survival by electrical ABR. Ann NY Acad Sci. 1983; 405:422-423. doi: 10.1111/j.1749-6632.1983.tb31656.x. PMID: 6575664.
161. Simmons FB, Lusted HS, Meyers T, Shelton C. Electrically induced auditory brainstem response as a clinical tool in estimating nerve survival. Ann Otol Rhinol Laryngol. 1984 Jul-Aug;112(Suppl):97-100. doi: 10.1177/00034894840930s417. PMID: 6431890.
162. Propst EJ, Papsin BC, Stockley TL, Harrison RV, Gordon KA. Auditory responses in cochlear implant users with and without GJB2 deafness. Laryngoscope. 2006 Feb;116(2):317-327. doi: 10.1097/01.mlg.0000199401.26626.4b. PMID: 16467727.
163. Polterauer D, Mandruzzato G, Neuling M, Polak M, Müller J, Hempel J M. PromBERA: A preoperative eABR: An update. Current Directions in Biomedical Engineering. 2018;4(1): 563-565. doi: 10.1515/cdbme-2018-0135.
164. Polterauer D, Mandruzzato G, Neuling M, Polak M, Müller J, Hempel J M. Evaluation of auditory pathway excitability using a pre-operative trans-tympanic electrically evoked auditory brainstem response under local anesthesia in cochlear implant candidates. Int J Audiol. 2022 Dec;62(12):1176-1186. https://doi.org/10.1080/14992027.2022.2114024. Epub 2022 Aug 27. PMID: 36036176.
165. Lassaletta L, Polak M, Huesers J et al. Usefulness of electrical auditory brainstem responses to assess the functionality of the cochlear nerve using an intracochlear test electrode. Otol Neurotol. 2017 Dec;38(10):e413-e420.
doi:10.1097/MAO.0000000000001584. PMID: 29076926.
166. Medina MM, Polo R, Amilibia E et al. Diagnostic accuracy of intracochlear test electrode for acoustic nerve monitoring in vestibular schwannoma surgery. Ear Hear. 2020 Nov/Dec;41(6):1648-1659. doi: 10.1097/AUD.0000000000000883. PMID: 33136639.
167. Polterauer D, Mandruzzato G, Neuling M, Polak M, Müller J, Hempel JM. Intra-operative test electrode and electrical auditory brainstem response after preoperative assessment in cochlear implant candidacy: Comparison of electrical auditory brainstem response results by using an auditory nerve test electrode and system intra-operatively after pre-operatively objective promontory stimulation test to check integrity of the patient’s auditory pathway. Current Directions in Biomedical Engineering. 2023;9(1):725-728. https://doi.org/10.1515/cdbme-2023-1182.
168. Eilers RE, Cobo-Lewis AB, Vergara KC, Oller DK. Longitudinal speech perception performance of young children with cochlear implants and tactile aids plus hearing aids. Scand Audiol. 1997;47(Suppl):50-54. PMID: 9428045.
169. Attias J, HabibAllah S, Tarigoppula VSA et al. Cortical auditory evoked potentials recorded directly through the cochlear implant in cochlear implant recipients: a feasibility study. Ear Hear. 2022 Sep-Oct 01;43(5):1426-1436.
doi: 10.1097/AUD.0000000000001212. Epub 2022 Mar 3. PMID: 35245922.
170. Callejón-Leblic MA, Barrios-Romero MM, Kontides A, Sánchez-Gómez S, Beynon AJ. Electrically evoked auditory cortical responses elicited from individually fitted stimulation parameters in cochlear implant users. Int J Audiol. 2022 Jul;62(7):650-658. doi: 10.1080/14992027.2022.2062578. Epub 2022 Apr 28. PMID: 35477333.
171. Eggermont JJ, Ponton CW, Don M, Waring MD, Kwong B. Maturational delays in cortical evoked potentials in cochlear implant users. Acta Otolaryngol (Stockh). 1997 Mar;117(2):161-163. doi: 10.3109/00016489709117760. PMID: 9105439.
172. Sarankumar T, Arumugam SV, Goyal S, Chauhan N, Kumari A, Kameswaran M. Outcomes of cochlear implantation in auditory neuropathy spectrum disorder and the role of cortical auditory evoked potentials in benefit evaluation. Turk Arch Otorhinolaryngol. 2018 Mar;56(1):15-20. doi: 10.5152/tao.2017.2537. Epub 2018 Mar 1. PMID: 29988272; PMCID: PMC6017206.
173. Xiong S, Jiang L, Wang Y, Pan T, Ma F. The role of the P1 latency in auditory and speech performance evaluation in cochlear implanted children. Neural Plast. 2022 Apr 5; 2022:6894794. doi: 10.1155/2022/6894794. PMID: 35422857; PMCID: PMC9005387.
174. Battmer RD, Laszig R, Lehnhardt E. Electrically elicited stapedius reflex in cochlear implant patients. Ear Hear. 1990 Oct;11(5):370-374. doi: 10.1097/00003446-199010000-00008. PMID: 2262087.
175. Stephan K, Welzl-Müller K, Stiglbrunner H. Acoustic reflex in patients with cochlear implants (analog stimulation). Am J Otol. 1991;12(Suppl):48-51. PMID: 2069188.
176. Bresnihan M, Norman G, Scott F, Viani L. Measurement of comfort levels by means of electrical stapedial reflex in children. Arch Otolaryngol Head Neck Surg. 2001 Aug;127(8):963-966. doi: 10.1001/archotol.127.8.963. PMID: 11493206.
177. Allum JH, Greisiger R, Probst R. Relationship of intraoperative electrically evoked stapedius reflex thresholds to maximum comfortable loudness levels of children with cochlear implants. Int J Audiol. 2002 Mar;41(2):93-99. doi: 10.3109/14992020209090399. PMID: 12212861.
178. Pau HW, Zehlicke T, Sievert U, Schaudel D, Behrend D, Dahl R. Electromyographical recording of the electrically elicited stapedius reflex via a bipolar hook electrode. Otol Neurotol. 2009 Jan;30(1):1-6. doi: 10.1097/MAO.0b013e31818a0898. PMID: 18833019.
179. De Andrade KC, Leal MC, Muniz LF, Menezes PL, Albuquerque KM, Carnaúba AT. The importance of electrically evoked stapedial reflex in cochlear implant. Braz J Otorhinolaryngol. 2014;80(1):68-77. doi: 10.5935/1808-8694.20140014. PMID: 24626895; PMCID: PMC9443964.
180. De Andrade KCL, Muniz LF, Menezes PL, Neto SDSC, Carnaúba ATL, Leal MC. The value of electrically evoked stapedius reflex in determining the maximum comfort level of a cochlear implant. J Am Acad Audiol. 2018 Apr;29(4):292-299. doi: 10.3766/jaaa.16117. PMID: 29664723.
181. Clement RS, Carter PM, Kipke DR. Measuring the electrical stapedius reflex with stapedius muscle electromyogram recordings. Ann Biomed Eng. 2002 Feb;30(2):169-179. doi: 10.1114/1.1454132. PMID: 11962769.
182. Palani S, Alexander A, Sreenivasan A. Evaluation of the electrically-evoked stapedial reflex threshold in pediatric cochlear implant users with high-frequency probe tones. Int Arch Otorhinolaryngol. 2022 Feb 8;26(4):e566-e573. https://doi.org/ 10.1055/s-0042-1742332. PMID: 36405469; PMCID: PMC9668438.
183. Chai B, Holland ML, Camposeo EL, King K., Schvartz-Leyzac KC. Patient and device factors contributing to electrically evoked stapedial reflex thresholds in cochlear implanted adults. Audiol Neurotol. 2024 Feb;29(4):263-270. https://doi.org/10.1159/000535058. Epub 2024 Feb 9. PMID: 38342083; PMCID: PMC11305975.
184. Tavartkiladze GA, Bakhshinyan VV, Irwin C. Evaluation of new technology for intraoperative evoked compound action potential threshold measurements. Int J Audiol. 2015;54(5):347-352 doi: 10.3109/14992027.2014.973537.
185. Strenger T, Costian N, Ortolf E, Meyermann S, Zenk J. First Experiences with the Cochlear Nucleus SmartNav System. Laryngo-Rhino-Otologie 2023;102(S02):283-283. doi: 10.1055/s-0043-1767397.
186. Mushtaq F, Soulby A, Boyle P, Nunn T, Hartley DEH. Self-assessment of cochlear health by cochlear implant recipients. Front Neurol. 2022 Nov 16; 13:1042408. doi: 10.3389/fneur.2022.1042408
Interested in publishing your own research?
ESMED members can publish their research for free in our peer-reviewed journal.
Learn About Membership

Call for papers

Have a manuscript to publish in the society's journal?