Objectification of intracochlear electrocochleography using machine learning.

Introduction Electrocochleography (ECochG) measures inner ear potentials in response to acoustic stimulation. In patients with cochlear implant (CI), the technique is increasingly used to monitor residual inner ear function. So far, when analyzing ECochG potentials, the visual assessment has been the gold standard. However, visual assessment requires a high level of experience to interpret the signals. Furthermore, expert-dependent assessment leads to inconsistency and a lack of reproducibility. The aim of this study was to automate and objectify the analysis of cochlear microphonic (CM) signals in ECochG recordings. Methods Prospective cohort study including 41 implanted ears with residual hearing. We measured ECochG potentials at four different electrodes and only at stable electrode positions (after full insertion or postoperatively). When stimulating acoustically, depending on the individual residual hearing, we used three different intensity levels of pure tones (i.e., supra-, near-, and sub-threshold stimulation; 250-2,000 Hz). Our aim was to obtain ECochG potentials with differing SNRs. To objectify the detection of CM signals, we compared three different methods: correlation analysis, Hotelling's T2 test, and deep learning. We benchmarked these methods against the visual analysis of three ECochG experts. Results For the visual analysis of ECochG recordings, the Fleiss' kappa value demonstrated a substantial to almost perfect agreement among the three examiners. We used the labels as ground truth to train our objectification methods. Thereby, the deep learning algorithm performed best (area under curve = 0.97, accuracy = 0.92), closely followed by Hotelling's T2 test. The correlation method slightly underperformed due to its susceptibility to noise interference. Conclusions Objectification of ECochG signals is possible with the presented methods. Deep learning and Hotelling's T2 methods achieved excellent discrimination performance. Objective automatic analysis of CM signals enables standardized, fast, accurate, and examiner-independent evaluation of ECochG measurements

An intracochlear electrocochleography dataset - from raw data to objective analysis using deep learning

Electrocochleography (ECochG) measures electrophysiological inner ear potentials in response to acoustic stimulation. These potentials reflect the state of the inner ear and provide important information about its residual function. For cochlear implant (CI) recipients, we can measure ECochG signals directly within the cochlea using the implant electrode. We are able to perform these recordings during and at any point after implantation. However, the analysis and interpretation of ECochG signals are not trivial. To assist the scientific community, we provide our intracochlear ECochG data set, which consists of 4,924 signals recorded from 46 ears with a cochlear implant. We collected data either immediately after electrode insertion or postoperatively in subjects with residual acoustic hearing. This data descriptor aims to provide the research community access to our comprehensive electrophysiological data set and algorithms. It includes all steps from raw data acquisition to signal processing and objective analysis using Deep Learning. In addition, we collected subject demographic data, hearing thresholds, subjective loudness levels, impedance telemetry, radiographic findings, and classification of ECochG signals

Objective evaluation of intracochlear electrocochleography: repeatability, thresholds, and tonotopic patterns.

INTRODUCTION Intracochlear electrocochleography (ECochG) is increasingly being used to measure residual inner ear function in cochlear implant (CI) recipients. ECochG signals reflect the state of the inner ear and can be measured during implantation and post-operatively. The aim of our study was to apply an objective deep learning (DL)-based algorithm to assess the reproducibility of longitudinally recorded ECochG signals, compare them with audiometric hearing thresholds, and identify signal patterns and tonotopic behavior. METHODS We used a previously published objective DL-based algorithm to evaluate post-operative intracochlear ECochG signals collected from 21 ears. The same measurement protocol was repeated three times over 3 months. Additionally, we measured the pure-tone thresholds and subjective loudness estimates for correlation with the objectively detected ECochG signals. Recordings were made on at least four electrodes at three intensity levels. We extracted the electrode positions from computed tomography (CT) scans and used this information to evaluate the tonotopic characteristics of the ECochG responses. RESULTS The objectively detected ECochG signals exhibited substantial repeatability over a 3-month period (bias-adjusted kappa, 0.68; accuracy 83.8%). Additionally, we observed a moderate-to-strong dependence of the ECochG thresholds on audiometric and subjective hearing levels. Using radiographically determined tonotopic measurement positions, we observed a tendency for tonotopic allocation with a large variance. Furthermore, maximum ECochG amplitudes exhibited a substantial basal shift. Regarding maximal amplitude patterns, most subjects exhibited a flat pattern with amplitudes evenly distributed over the electrode carrier. At higher stimulation frequencies, we observed a shift in the maximum amplitudes toward the basal turn of the cochlea. CONCLUSIONS We successfully implemented an objective DL-based algorithm for evaluating post-operative intracochlear ECochG recordings. We can only evaluate and compare ECochG recordings systematically and independently from experts with an objective analysis. Our results help to identify signal patterns and create a better understanding of the inner ear function with the electrode in place. In the next step, the algorithm can be applied to intra-operative measurements

An intracochlear electrocochleography dataset - from raw data to objective analysis using deep learning.

Electrocochleography (ECochG) measures electrophysiological inner ear potentials in response to acoustic stimulation. These potentials reflect the state of the inner ear and provide important information about its residual function. For cochlear implant (CI) recipients, we can measure ECochG signals directly within the cochlea using the implant electrode. We are able to perform these recordings during and at any point after implantation. However, the analysis and interpretation of ECochG signals are not trivial. To assist the scientific community, we provide our intracochlear ECochG data set, which consists of 4,924 signals recorded from 46 ears with a cochlear implant. We collected data either immediately after electrode insertion or postoperatively in subjects with residual acoustic hearing. This data descriptor aims to provide the research community access to our comprehensive electrophysiological data set and algorithms. It includes all steps from raw data acquisition to signal processing and objective analysis using Deep Learning. In addition, we collected subject demographic data, hearing thresholds, subjective loudness levels, impedance telemetry, radiographic findings, and classification of ECochG signals

Objective evaluation of intracochlear electrocochleography: repeatability, thresholds, and tonotopic patterns

IntroductionIntracochlear electrocochleography (ECochG) is increasingly being used to measure residual inner ear function in cochlear implant (CI) recipients. ECochG signals reflect the state of the inner ear and can be measured during implantation and post-operatively. The aim of our study was to apply an objective deep learning (DL)-based algorithm to assess the reproducibility of longitudinally recorded ECochG signals, compare them with audiometric hearing thresholds, and identify signal patterns and tonotopic behavior.MethodsWe used a previously published objective DL-based algorithm to evaluate post-operative intracochlear ECochG signals collected from 21 ears. The same measurement protocol was repeated three times over 3 months. Additionally, we measured the pure-tone thresholds and subjective loudness estimates for correlation with the objectively detected ECochG signals. Recordings were made on at least four electrodes at three intensity levels. We extracted the electrode positions from computed tomography (CT) scans and used this information to evaluate the tonotopic characteristics of the ECochG responses.ResultsThe objectively detected ECochG signals exhibited substantial repeatability over a 3-month period (bias-adjusted kappa, 0.68; accuracy 83.8%). Additionally, we observed a moderate-to-strong dependence of the ECochG thresholds on audiometric and subjective hearing levels. Using radiographically determined tonotopic measurement positions, we observed a tendency for tonotopic allocation with a large variance. Furthermore, maximum ECochG amplitudes exhibited a substantial basal shift. Regarding maximal amplitude patterns, most subjects exhibited a flat pattern with amplitudes evenly distributed over the electrode carrier. At higher stimulation frequencies, we observed a shift in the maximum amplitudes toward the basal turn of the cochlea.ConclusionsWe successfully implemented an objective DL-based algorithm for evaluating post-operative intracochlear ECochG recordings. We can only evaluate and compare ECochG recordings systematically and independently from experts with an objective analysis. Our results help to identify signal patterns and create a better understanding of the inner ear function with the electrode in place. In the next step, the algorithm can be applied to intra-operative measurements

Interleaved recording of the auditory brainstem response in sensorineural hearing loss

The auditory brainstem response (ABR) test is a far-field electrophysiological technique routinely used to estimate auditory thresholds, detecting auditory neuropathologies and intraoperative monitoring (Haddad et al., 2020; Hood, 1998; Jewett & Williston, 1971). Specifically, the ABR morphology and wave latencies are used as diagnostic indicators. To date, ABR is often evoked using transient acoustic stimuli (e.g., clicks and tone-burst) presented at low stimulus rate, and thousands of response averages are required to ensure adequate signal-to-noise ratio is achieved and diagnostic features of the responses are preserved. These translate to extended clinical time. Preliminary findings from the O’Beirne laboratory, using the custom-written software developed by the laboratory which delivers interleaving clicks stimuli, demonstrated that the ABR diagnostic features obtained in normal hearing (NH) participants using rapid interleaved stimuli between both ears (binaural) were of comparable quality to those recorded in current clinical setting (monaurally) (Bencito, 2020). This research aims to further investigate whether the benefits extend to adults with sensorineural (SN) hearing impairment. Specifically, whether wave V latencies obtained from rapid interleaving stimuli are significantly different from monaural conditions (slow and fast rates) in SNHI participants. The ABRs were evoked with clicks at rapid interleaving conditions which the stimulus alternate between the ears (i.e., 45.5/s to each ear, 90.9/s overall); clicks delivered monaurally at the slow rate (monaural slow; 45.5/s); and clicks delivered monaurally at the fast rate (monaural fast; 90.9/s). Our results demonstrated the benefit of the most rapid interleaving clicks paradigm used by Bencito, 2020 were translatable to the participants with SN hearing loss in this study. The rapid rate interleaved condition showed no significant change in the wave V latency compared to the conventional monaural slow paradigm. Furthermore, a significant increase in the wave V latency of monaural fast condition was shown compared to interleaved condition. The study further demonstrated the potential clinical benefit, primarily in testing time, of the use of the interleaved paradigm compared to the current conventional sequential method of auditory brainstem recording in adult population with SN hearing loss

Interleaved recording of auditory evoked potentials in adults.

The Auditory Brainstem Response (ABR) and the Cortical Auditory-Evoked Potential (CAEP) are auditory-evoked potentials used in the objective diagnosis of hearing loss and validation of paediatric amplification. They are far-field responses, meaning their acquisition can be time consuming complete due to their low signal-to-noise ratio, and therefore the larger number of response averages required for a clear response signal. A recent study of people with normal hearing discovered that eliciting the ABR using interleaved stimulation yields reliable results in half the time it takes to test each ear with typical sequential monaural stimulation (Bencito, 2020). The current study extends this work by exploring the efficacy of interleaved ABR and CAEPs in adults as compared with conventional monaural testing with a slow rate and monaural testing with a fast rate, with the underlying assumption that neural fatigue occurs in the peripheral auditory pathway, and therefore does not occur with bilateral interleaved stimulation. A total of 44 participants (27 females, 17 males) aged 18 to 63 years (M = 33, SD = 9.2) with symmetrical normal to mild sensorineural hearing loss underwent AEP testing under three conditions: interleaved, monaural slow and monaural fast. The measures for this study were Fsp, wave V latency and amplitude for click-evoked ABR, and the latency and amplitude of the P1-N1-P2 complex for 1 kHz tone-burst CAEP. Latency results showed no significant differences between the monaural slow and interleaved conditions, but significantly longer latencies in the monaural fast condition, for both ABR and CAEP testing. Fsp and amplitude measures revealed no significant difference for the ABR wave V and the CAEP P1 between the interleaved and monaural slow conditions. However, the P1-N1 and N1-P2 amplitudes and Fsp data for CAEP were significantly larger in the monaural slow condition as compared to the interleaved condition. Overall, these results support the efficacy of the interleaved technique for ABR testing, with potential benefits for CAEP as well, pending further exploration

Synaptopathie cochléaire chez l’humain : effets de l’exposition au bruit continu et impulsionnel

La surdité professionnelle constitue un problème de santé publique important, avec une prévalence estimée de 10 à 16%. Les études animales ont mis en évidence une perte des synapses entre les cellules ciliées internes et le nerf auditif et des fibres auditives présentant une activité spontanée faible. Cette synaptopathie cochléaire se manifesterait avant la dégradation des seuils auditifs et la perte des cellules ciliées externes, étant ainsi un précurseur à la surdité professionnelle. L’audiogramme utilisé en milieu clinique ne permet pas de mesurer la synaptopathie cochléaire, se contentant seulement de quantifier la perte d’audibilité causée par l’exposition au bruit. Des études post-mortem humaines ont permis d’identifier une synaptopathie cochléaire, similaire à celle observée dans le modèle animal. Étant donné que la quantification des synapses chez l'humain vivant n'est pas possible, les chercheurs se sont concentrés sur le développement d’outils pouvant servir de marqueur indirect de la synaptopathie cochléaire. À cet égard, les résultats sont divergents d’une étude à l’autre. Il est possible que ces outils ne soient pas sensibles ou que l’exposition au bruit investiguée dans la littérature ne soit pas suffisante pour entraîner une synaptopathie cochléaire chez l’humain. L’objectif de cette thèse est donc d’évaluer les effets d’une exposition au bruit industriel continu et au bruit impulsionnel, qui pourraient s’avérer plus nocives et entraîner un processus précoce de synaptopathie cochléaire. Des individus présentant des seuils auditifs et des émissions otoacoustiques dans la normale ont été investigués à l’aide de mesures électrophysiologiques et psychoacoustiques. Dans la première étude, 40 participants exposés au bruit industriel continu et 40 participants sans exposition au bruit industriel continu ont été recrutés et évalués à l’aide d’un test de perception de la parole dans le bruit (SPiN) et de différentes composantes du potentiels évoqués auditifs du tronc cérébral (PEATC). L’exposition au bruit des participants a été mesurée par dosimétrie. Les résultats ne montrent pas d’association entre l’exposition au bruit et les variables du PEATC et du SPiN. Dans la deuxième étude, 27 participants militaires exposés au bruit impulsionnel et 13 participants sans exposition au bruit impulsionnel ont été recrutés. Les PEATC, l’électrocochléographie, le SPiN et la largeur des filtres auditifs rectangulaires équivalents (ERB) ont été mesurés. L’exposition au bruit des participants a été quantifiée à l’aide du Noise Exposure Structured Interview. Les résultats montrent une réduction de l’amplitude de l’onde I, un allongement de la latence de l’onde V, des performances réduites de SPiN et un ERB plus large à 4 kHz chez les militaires exposés au bruit impulsionnel, en comparaison aux participants sans exposition au bruit impulsionnel. Cette thèse est importante d’un point de vue de santé publique puisqu’elle suggère que certains outils cliniques simples, comme la mesure des filtres auditifs, pourraient permettre de détecter les premiers signes d’un dommage auditif avant l’apparition d’une surdité professionnelle mesurée par l’audiogramme. Les résultats renforcent l’importance de la sensibilisation aux risques induits par l’exposition au bruit afin de prévenir l’apparition des troubles de communication et des situations de handicap découlant de la présence d’une surdité professionnelle.Occupational hearing loss constitutes an important public health problem, with an estimated prevalence of 10 to 16%. Animal studies have shown a phenomenon of synapses dysfunction between the inner hair cells and the auditory nerve and a preferential loss of low spontaneous rate auditory fibers. This cochlear synaptopathy manifests itself before the degradation of hearing thresholds and the loss of outer hair cells, thus being a precursor damage to occupational hearing loss. The audiogram used in a clinical setting does not measure cochlear synaptopathy, only quantifying the loss of audibility caused by noise exposure. In humans, post-mortem studies have identified a process of cochlear synaptopathy, similar to that observed in the animal model. Since quantification of synapses in living humans is not possible, researchers focused on developing a noninvasive measurement that could serve as an indirect marker for cochlear synaptopathy. Several tools have been proposed, but the results vary from one study to another. It is possible that these tools are not sensitive or that noise exposures investigated in the literature is not sufficient to cause cochlear synaptopathy in humans. The objective of this thesis is therefore to evaluate the effects of exposure to continuous industrial noise and impulse noise, which could prove to be more harmful and lead to an accelerated process of cochlear synaptopathy. To this end, individuals with normal hearing thresholds and otoacoustic emissions were investigated using electrophysiological and psychoacoustical measurements. In the first study, 40 participants with occupational noise exposure and 40 participants without occupational noise exposure were recruited and evaluated using a speech perception in noise (SPiN) test and different components of the auditory brainstem response (ABR). Participants’ noise exposure was measured by dosimetry. The results do not show an association between noise exposure and the ABR and SPiN variables. In the second study, 27 military participants exposed to impulse noise and 13 participants without exposure to impulse noise were recruited. ABR, electrocochleography, SPiN and the equivalent rectangular bandwidth (ERB) of auditory filters were measured. Participants' noise exposure was quantified using the Noise Exposure Structured Interview. Results show a reduced wave I amplitude, a lengthened wave V latency, a reduced SPiN performance, and a broader ERB at 4 kHz in military recruits exposed to impulse noise, compared to participants without exposure to impulse noise. This thesis is important from a public health point of view since it suggests that certain simple clinical tools, such as the measurement of auditory filters, might make it possible to detect the first signs of auditory damage before the onset of hearing loss measured by the audiogram. Results reinforce the importance of raising awareness to the risks induced by noise exposure in order to prevent the appearance of communication disorders and handicaps resulting from the presence of occupational hearing loss