Recording EEG in cochlear implant users: Guidelines for experimental design and data analysis for optimizing signal quality and minimizing artifacts

Intartaglia, Bastien; Zeitnouni, Anthony G.; Lehmann, Alexandre

doi:10.1016/j.jneumeth.2022.109592

Cited by 14 publications

(6 citation statements)

References 109 publications

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“…It may be particularly useful for patients with limited verbal communication skills, for whom device fitting can be very challenging. The previously mentioned CI stimulation artefacts complicate EEG-based measurements in CI listeners, but methods to mitigate CI-related artefacts with the use of stimulation gaps (Somers et al, 2018), computational artefact removal (Intartaglia et al, 2022) or interleaved stimulation (Carlyon et al, 2021, Guerit et al, 2023) have recently been proposed and successfully applied to measure neural responses in CI listeners with EEG. A combination of artefact removal techniques with objective, EEG-based measures of speech transmission warrant further research but represent a promising venue to develop future clinical applications.…”

Section: Discussionmentioning

confidence: 99%

“…CI stimulation pulses are registered by the EEG recording system concurrently with brain-originating activity, thereby confounding the observed neural representation of the speech envelope. Methods to mitigate CI-related artefacts include interleaving stimulation pulses in between EEG samples [60], as well as computational approaches for electrical pulse removal after data collection [61]. Such efforts are challenged by temporal smoothing and integration leakage affecting CI stimulation as well as EEG recording [62, 63], and the large amplitude of CI stimulation artefacts, relative to neural responses of interest, makes them difficult to fully remove.…”

Section: Introductionmentioning

confidence: 99%

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Neural decoding of the speech envelope: Effects of intelligibility and spectral degradation

MacIntyre,

Carlyon,

Goehring

2024

Preprint

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During continuous speech perception, patterns of endogenous neural activity become time-locked to acoustic stimulus features, such as the speech amplitude envelope. This speech-brain coupling can be decoded using non-invasive brain imaging techniques, including electroencephalography (EEG). Methods like these may provide clinical use as an objective measure of stimulus encoding by the brain, for example, in the case of cochlear implant (CI) listening. Yet, the CI-transmitted speech signal is severely spectrally degraded, rendering its amenability to neural decoding unknown. Furthermore, interplay between acoustic and linguistic factors may lead to top-down modulation of perception, thereby challenging potential audiological applications. We assess neural decoding of the speech envelope under spectral degradation with EEG in acoustically hearing listeners (n = 38; 18-35 years old) using vocoded speech. Additionally, we dissociate sensory from higher-order processing by employing intelligible (English) and non-intelligible (Dutch) stimuli. Subject-specific and group decoders were trained to reconstruct the speech envelope from held-out EEG, with decoder significance determined via random permutation testing. Whereas speech envelope reconstruction did not vary by acoustic clarity, intelligible speech was associated with better decoding accuracy in general. Results were similar across subject-specific and group analyses, with less consistent effects of spectral degradation in group decoding. Permutation tests revealed possible differences in decoder statistical significance by experimental condition. In general, while robust neural decoding was observed at the group level, variability within participants would most likely prevent the clinical use of such a measure to differentiate levels of spectral degradation and intelligibility on an individual basis.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Neural decoding of the speech envelope: Effects of intelligibility and spectral degradation

MacIntyre,

Carlyon,

Goehring

2024

Preprint

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“…Another option is to stimulate via speakers that do not create stimulus artifacts; however, acoustic wave re-110 verberation may arise in a measuring cabin that is not sound-attenuated [36]. It should be noted that only a few studies employing ASSRs in research settings used speakers, and often those studies utilized unique protocols (for example, [37] compared the effect of ASSR in 115 humans and monkeys and [38] applied transcranial alternating current stimulation during their ASSR experiment).…”

Section: One Of the Main Areas Of Research Is The Function Of 20mentioning

confidence: 99%

Unveiling Stimulus Transduction Artifacts in Auditory Steady-State Response Experiments: Characterization, Risks, and Mitigation Strategies

Strobl,

Viktorin,

Piorecky

et al. 2024

Preprint

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This scientific paper addresses the potential risk of spurious responses in neuroscientific auditory steady-state response (ASSR) experiments attributed to transduction artifacts. The focus is particularly on click train stimuli, given their spectral content in the frequency range of interest (e.g., 40 Hz). Building upon a pilot experiment demonstrating the existence of the artifact in a phantom head, this study focuses on the characterization of stimulus artifacts in extended measurements with phantoms and the evaluation of associated risks in experiments involving human subjects. The investigation is divided into two parts: the first part scrutinizes stimulus artifact properties crucial for mitigation, while the second part assesses risks in ASSR experiments with human subjects based on the characterized artifact. The discussion covers stimulus characterization, experimental setups with phantoms, and experiments with human subjects, exploring potential sources of the artifact, its spatial properties, and the influence of re-referencing. The results reveal the role of headphone cables as a source of stimulus artifacts, along with the surprising impact of headphone transducers. The study emphasizes the need for careful experimental design and data analysis to avoid misinterpretations of stimulus artifacts as genuine brain responses in ASSR experiments.

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“…Secondly, dealing with noisy CI EEG data presented a significant challenge. However, we employed ICA cleaning methods (Intartaglia et al, 2022;Kim et al, 2015;Paul et al, 2020Paul et al, , 2021 with expert care to ensure data quality. Thirdly, the reason why we did not observe any changes on the CI ear over time might be related to the stimuli, which were either mildly degraded or highly degraded, making them indistinguishable to the CI ears.…”

Section: Limitations and Future Directionsmentioning

confidence: 99%

Cochlear implantation in adults with acquired single-sided deafness improves cortical processing and comprehension of speech presented to the non-implanted ears: A longitudinal EEG study

Chen,

Neff,

Leske

et al. 2023

Preprint

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Former studies have established that individuals with a cochlear implant (CI) for treating single-sided deafness (SSD) experience improved speech processing after implantation. However, it is not clear how each ear contributes separately to improve speech perception over time at the behavioral and neural level. In this longitudinal EEG study with four different time points, we measured neural activity in response to variously degraded spoken words presented monaurally to the CI and non-CI ears in 10 single-sided CI users and 10 age- and sex-matched individuals with normal hearing. Subjective comprehension ratings for each word were also recorded. Data from single-sided CI participants were collected : pre-CI implantation, and at 3, 6, and 12 months after implantation. We conducted a time-resolved representational similarity analysis (RSA) on the EEG data to depict whether and how neural patterns became more similar to those of healthy individuals. The analysis was performed separately for the CI and non-CI ear. At 6 months post implantation, the speech comprehension ratings for the degraded words improved in both ears. Notably, the improvement was more pronounced for the non-CI ear than the CI ear. Furthermore, the enhancement in non-CI ears was paralleled by increased similarity to neural representational patterns of the normal hearing control group. The maximum of this effect was observed between 600 and 1200 ms after stimulus onset, coinciding with the peak decoding accuracy for spoken-word comprehension. The present study demonstrates that auditory cortical speech processing gradually normalizes in the non-CI ear after CI implantation within months. The CI enables the deaf ear to provide afferent input, which, according to our results, complements the input of the non-CI, gradually improving its function. These novel findings underscore the feasibility of tracking neural recovery after auditory input restoration using advanced multivariate analysis methods, such as RSA.

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Recording EEG in cochlear implant users: Guidelines for experimental design and data analysis for optimizing signal quality and minimizing artifacts

Cited by 14 publications

References 109 publications

Neural decoding of the speech envelope: Effects of intelligibility and spectral degradation

Neural decoding of the speech envelope: Effects of intelligibility and spectral degradation

Unveiling Stimulus Transduction Artifacts in Auditory Steady-State Response Experiments: Characterization, Risks, and Mitigation Strategies

Cochlear implantation in adults with acquired single-sided deafness improves cortical processing and comprehension of speech presented to the non-implanted ears: A longitudinal EEG study

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