Free-Field Cortical Steady-State Evoked Potentials in Cochlear Implant Users

Alemi, Razieh; Nozaradan, Sylvie; Lehmann, Alexandre

doi:10.1007/s10548-021-00860-2

Cited by 4 publications

(2 citation statements)

References 96 publications

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“…Previous studies have indicated that evoked potential recordings may be contaminated by CI stimulation artefacts [Gilley et al, 2006;Alemi et al, 2021]. No correlation was observed between the aCAEP response group and device factors, including the type of implant, magnet, or audio processor.…”

Section: Discussionmentioning

confidence: 71%

The Impact of Patient Factors on Objective Cochlear Implant Verification Using Acoustic Cortical Auditory-Evoked Potentials

Bogdanov,

Mulders,

Goulios

et al. 2023

Audiol Neurotol

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Introduction: Hearing loss is a major global public health issue that negatively impacts quality of life, communication, cognition, social participation, and mental health. The cochlear implant (CI) is the most efficacious treatment for severe-to-profound sensorineural hearing loss. However, variability in outcomes remains high among CI users. Our previous research demonstrated that the existing subjective methodology of CI programming does not consistently produce optimal stimulation for speech perception, thereby limiting the potential for CI users to derive the maximum device benefit to achieve their peak potential. We demonstrated the benefit of utilising the objective method of measuring auditory-evoked cortical responses to speech stimuli as a reliable tool to guide and verify CI programming and, in turn, significantly improve speech perception performance. The present study was designed to investigate the impact of patient- and device-specific factors on the application of acoustically-evoked cortical auditory-evoked potential (aCAEP) measures as an objective clinical tool to verify CI mapping in adult CI users with bilateral deafness (BD). Methods: aCAEP responses were elicited using binaural peripheral auditory stimulation for four speech tokens (/m/, /g/, /t/, and /s/) and recorded by HEARLab™ software in adult BD CI users. Participants were classified into groups according to subjective or objective CI mapping procedures to elicit present aCAEP responses to all four speech tokens. The impact of patient- and device-specific factors on the presence of aCAEP responses and speech perception was investigated between participant groups. Results: Participants were categorised based on the presence or absence of the P1-N1-P2 aCAEP response to speech tokens. Out of the total cohort of adult CI users (n = 132), 63 participants demonstrated present responses pre-optimisation, 37 participants exhibited present responses post-optimisation, and the remaining 32 participants either showed an absent response for at least one speech token post-optimisation or did not accept the optimised CI map adjustments. Overall, no significant correlation was shown between patient and device-specific factors and the presence of aCAEP responses or speech perception scores. Conclusion: This study reinforces that aCAEP measures offer an objective, non-invasive approach to verify CI mapping, irrespective of patient or device factors. These findings further our understanding of the importance of personalised CI rehabilitation through CI mapping to minimise the degree of speech perception variation post-CI and allow all CI users to achieve maximum device benefit.

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Section: Discussionmentioning

confidence: 71%

The Impact of Patient Factors on Objective Cochlear Implant Verification Using Acoustic Cortical Auditory-Evoked Potentials

Bogdanov,

Mulders,

Goulios

et al. 2023

Audiol Neurotol

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show abstract

“…The results indicate, that especially with the clinically relevant 900pps stimulation rate, the ICA fails to correctly identify and disentangle the artifact and EASSR and may hence lead to a false removal of EASSR components [28]. In [29], ICA effectively removes the stimulation artifact from EEG recordings of cortical steady-state responses, but not from recordings of subcortical steady-state responses. In [30] and [31], denoising source separation (DSS), another spatial filtering approach akin to ICA, is applied to simulated and real recordings respectively.…”

Section: Introductionmentioning

confidence: 94%

Detection of Electrically Evoked Auditory Steady-State Responses in Cochlear-Implant Recipients With a System Identification Based Method

Schott,

Gransier,

Wouters

et al. 2024

IEEE Trans. Biomed. Eng.

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Objective: Electrically evoked auditory steady-state responses (EASSRs) can potentially be used as an objective measure to realize the automatic fitting of cochlear implants (CIs). They can be recorded using electroencephalography (EEG) and objectively detected at the modulation frequency of the stimulus. The main roadblock in using EASSRs is the presence of CI stimulation artifacts in the EEG recording. In this paper, we present an improvement of a recently introduced system identification (SI) based artifact removal method. We evaluate its applicability for objective CI fitting on a larger dataset. Methods: The parameter estimation problem of the SI is solved using ordinary least squares (OLS), where an additional regularization term is added to the cost function. We compare EASSR latencies as determined by the commonly used linear interpolation artifact removal method and SI, to evaluate the artifact removal and EASSR detection quality on a dataset of 16 CI recipients and four different stimulation levels. Results: SI can fully remove stimulation artifacts and detect EASSRs, even for recordings from ipsilateral EEG channels, where all other artifact removal methods fail so far. Using OLS with regularization prevents false positive response detection. Conclusion: Using SI, EASSRs can reliably be detected in EEG recordings, even for ipsilateral recording channels and recordings with lower stimulation levels. As the recordings are obtained with clinically relevant settings of the CI, they reveal the potential impact of SI on the objective fitting of CIs. Significance: We argue, that SI enables therefore a big step towards automated CI fitting with EASSRs.

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Audiovisual integration in children with cochlear implants revealed through EEG and fNIRS

Alemi,

Wolfe,

Neumann

et al. 2023

Brain Research Bulletin

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Free-Field Cortical Steady-State Evoked Potentials in Cochlear Implant Users

Cited by 4 publications

References 96 publications

The Impact of Patient Factors on Objective Cochlear Implant Verification Using Acoustic Cortical Auditory-Evoked Potentials

The Impact of Patient Factors on Objective Cochlear Implant Verification Using Acoustic Cortical Auditory-Evoked Potentials

Detection of Electrically Evoked Auditory Steady-State Responses in Cochlear-Implant Recipients With a System Identification Based Method

Audiovisual integration in children with cochlear implants revealed through EEG and fNIRS

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