Long-term auditory processing outcomes in early implanted young adults with cochlear implants: The mismatch negativity vs. P300 response

Abrahamse, Rosanne; Beynon, Andy J.; Piai, Vitória

doi:10.1016/j.clinph.2020.09.022

Cited by 8 publications

(6 citation statements)

References 52 publications

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“…Consistent with previous studies (e.g., Kubo et al, 2001;Beynon et al, 2005;Obuchi et al, 2012;Soshi et al, 2014;Grasel et al, 2018;Han et al, 2020), P300 amplitudes were significantly larger and latencies were significantly shorter for the NH group than for the CI group. For the present bimodal CI listeners, mean P300 amplitude and/or latency values were comparable to those observed in previous studies with CI listeners (e.g., Iwaki et al, 2004;Sasaki et al, 2009;Grasel et al, 2018;Abrahamse et al, 2021;Calderaro et al, 2020;Van Yper et al, 2020). P300 responses were elicited in all CI participants, consistent with Obuchi et al (2012).…”

Section: Discussionsupporting

confidence: 90%

“…Segregation of competing speech has been shown to involve cognitive processes (e.g., Francis, 2010). Some CI studies have compared P300 responses to standard clinical measures such as word recognition in quiet (e.g., Kileny et al, 1997;Groenen et al, 2001;Grasel et al, 2018;Abrahamse et al, 2021;Amaral et al, 2021). Others have compared P300 responses to phoneme recognition in quiet (e.g., Groenen et al, 2001;Beynon et al, 2002) or to speech recognition in steady noise (e.g., Iwaki et al, 2004).…”

Section: Introductionmentioning

confidence: 99%

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The P300 Auditory Event-Related Potential May Predict Segregation of Competing Speech by Bimodal Cochlear Implant Listeners

et al. 2022

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Compared to normal-hearing (NH) listeners, cochlear implant (CI) listeners have greater difficulty segregating competing speech. Neurophysiological studies have largely investigated the neural foundations for CI listeners' speech recognition in quiet, mainly using the P300 component of event-related potentials (ERPs). P300 is closely related to cognitive processes involving auditory discrimination, selective attention, and working memory. Different from speech perception in quiet, little is known about the neurophysiological foundations for segregation of competing speech by CI listeners. In this study, ERPs were measured for a 1 vs. 2 kHz contrast in 11 Mandarin-speaking bimodal CI listeners and 11 NH listeners. Speech reception thresholds (SRTs) for a male target talker were measured in steady noise or with a male or female masker. Results showed that P300 amplitudes were significantly larger and latencies were significantly shorter for the NH than for the CI group. Similarly, SRTs were significantly better for the NH than for the CI group. Across all participants, P300 amplitude was significantly correlated with SRTs in steady noise (r = −0.65, p = 0.001) and with the competing male (r = −0.62, p = 0.002) and female maskers (r = −0.60, p = 0.003). Within the CI group, there was a significant correlation between P300 amplitude and SRTs with the male masker (r = −0.78, p = 0.005), which produced the most informational masking. The results suggest that P300 amplitude may be a clinically useful neural correlate of central auditory processing capabilities (e.g., susceptibility to informational masking) in bimodal CI patients.

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Section: Discussionsupporting

confidence: 90%

Section: Introductionmentioning

confidence: 99%

The P300 Auditory Event-Related Potential May Predict Segregation of Competing Speech by Bimodal Cochlear Implant Listeners

et al. 2022

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“…The specific activity time courses were generated based on an existing auditory oddball paradigm dataset (Abrahamse et al, 2021), with a deviant and a standard condition, in the following way. Artefact-free scalp EEG data was segmented between –300 ms to 1000 ms relative to auditory stimulus onset.…”

Section: Methodsmentioning

confidence: 99%

“…The participant was scanned at the Donders Centre for Cognitive Neuroimaging with a 3T MAGNETOM PrismaFit scanner. Realistic ERPs were derived from a study by Lewis et al (2017) with visual stimulation and a study by Abrahamse et al (2021) with auditory stimulation in an oddball paradigm (detailed below).…”

Section: Data Acquisition and Selectionmentioning

confidence: 99%

The impact of CSF-filled cavities on scalp EEG and its implications

Piai,

Oostenveld,

Schoffelen

et al. 2023

Preprint

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Previous studies have found EEG amplitude and scalp topography differences between neurotypical and neurological/neurosurgical groups, being interpreted at the cognitive level. However, these comparisons are invariably accompanied by anatomical changes. Critical to EEG are the so-called volume currents, which are affected by the spatial distribution of the different tissues in the head. We investigated the effect of CSF-filled cavities on simulated EEG scalp data. We simulated EEG scalp potentials for known sources using different volume conduction models: a reference model (i.e., unlesioned brain) and models with realistic CSF-filled cavities gradually increasing in size. We used this approach for a single source close or far from the CSF-lesion cavity, and for a scenario with a distributed configuration of sources (i.e., a “cognitive ERP effect”). Magnitude and topography error between the reference and lesion models were quantified. For the single-source simulation close to the lesion, the CSF-filled lesion modulated signal amplitude with more than 17% magnitude error, and topography with more than 9% topographical error. Negligible modulation was found for the single source far from the lesion. For the multi-source simulations of the cognitive effect, the CSF-filled lesion modulated signal amplitude with more than 6% magnitude error, and topography with more than 16% topography error in a non-monotonic fashion. In conclusion, the impact of a CSF-filled cavity cannot be neglected for scalp-level EEG data. Especially when group-level comparisons are made, any scalp-level attenuated, aberrant, or absent effects are difficult to interpret without considering the confounding effect of CSF.Impact statementPrevious studies have found EEG amplitude and scalp topography differences between neurotypical and neurological/neurosurgical groups (whose brain damage leads to the presence of a CSF-filled cavity), being interpreted at the cognitive level. Via simulations of scalp-level EEG patterns, we show that attenuated, aberrant, or absent effects in these comparisons are difficult to interpret without considering the confounding effect of CSF.FundingThis study was partly supported by grants from the Netherlands Organization for Scientific Research (Nederlandse Organisatie voor Wetenschappelijk Onderzoek [NWO]) to V. P. (451-17-003 and VI.Vidi.201.081) and to the Language in Interaction Consortium (024-001-006).CRediTVP:Conceptualization, Data curation, Formal Analysis, Funding acquisition, Investigation, Methodology, Project administration, Visualization, Writing – original draft, Writing – review & editingRO:Conceptualization, Methodology, Software, Writing – review & editingJMS:Conceptualization, Methodology, Software, Writing – review & editingMCP:Conceptualization, Investigation, Methodology, Visualization, Writing – review & editing

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“…This prerequisite is one of the main incentives for many studies focusing on electrophysiological assessment to determine auditory neural activity in response to electro-stimulation in relation to individual behavioral responses. Many studies have investigated the predictive value of objective measures at different levels of the human auditory neural pathway, varying from peripheral electrically evoked compound action potentials [ 1 , 2 , 3 , 4 ], brainstem responses [ 1 , 5 , 6 ] up to middle- [ 7 , 8 , 9 ], late-latency obligatory cortical [ 10 , 11 , 12 ] and auditory change complexes [ 13 , 14 , 15 , 16 ] to obtain the pre-attentive mismatch negativity [ 17 , 18 , 19 , 20 ] to assess auditory discriminative skills. Besides exogenous auditory processing, endogenous higher-order cognitive P300 processing has also been reported in relation with CI performance [ 21 , 22 , 23 , 24 , 25 , 26 ].…”

Section: Introductionmentioning

confidence: 99%

Intracorporeal Cortical Telemetry as a Step to Automatic Closed-Loop EEG-Based CI Fitting: A Proof of Concept

Beynon¹,

Luijten²,

Mylanus³

2021

Audiology Research

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Electrically evoked auditory potentials have been used to predict auditory thresholds in patients with a cochlear implant (CI). However, with exception of electrically evoked compound action potentials (eCAP), conventional extracorporeal EEG recording devices are still needed. Until now, built-in (intracorporeal) back-telemetry options are limited to eCAPs. Intracorporeal recording of auditory responses beyond the cochlea is still lacking. This study describes the feasibility of obtaining longer latency cortical responses by concatenating interleaved short recording time windows used for eCAP recordings. Extracochlear reference electrodes were dedicated to record cortical responses, while intracochlear electrodes were used for stimulation, enabling intracorporeal telemetry (i.e., without an EEG device) to assess higher cortical processing in CI recipients. Simultaneous extra- and intra-corporeal recordings showed that it is feasible to obtain intracorporeal slow vertex potentials with a CI similar to those obtained by conventional extracorporeal EEG recordings. Our data demonstrate a proof of concept of closed-loop intracorporeal auditory cortical response telemetry (ICT) with a cochlear implant device. This research breaks new ground for next generation CI devices to assess higher cortical neural processing based on acute or continuous EEG telemetry to enable individualized automatic and/or adaptive CI fitting with only a CI.

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Long-term auditory processing outcomes in early implanted young adults with cochlear implants: The mismatch negativity vs. P300 response

Cited by 8 publications

References 52 publications

The P300 Auditory Event-Related Potential May Predict Segregation of Competing Speech by Bimodal Cochlear Implant Listeners

The P300 Auditory Event-Related Potential May Predict Segregation of Competing Speech by Bimodal Cochlear Implant Listeners

The impact of CSF-filled cavities on scalp EEG and its implications

Intracorporeal Cortical Telemetry as a Step to Automatic Closed-Loop EEG-Based CI Fitting: A Proof of Concept

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