Estimating multiple latencies in the auditory system from auditory steady-state responses on a single EEG channel

Abstract The latency of the auditory steady-state response (ASSR) may provide valuable information regarding the integrity of the auditory system, as it could potentially reveal the presence of multiple intracerebral sources. To estimate multiple latencies from high-order ASSRs, we propose a novel t...

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Autores principales:	Lei Wang, Elisabeth Noordanus, A. John van Opstal
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/7353b2ae79e549a99f266fb32a01315f
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spelling	oai:doaj.org-article:7353b2ae79e549a99f266fb32a01315f2021-12-02T13:57:25ZEstimating multiple latencies in the auditory system from auditory steady-state responses on a single EEG channel10.1038/s41598-021-81232-52045-2322https://doaj.org/article/7353b2ae79e549a99f266fb32a01315f2021-01-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-81232-5https://doaj.org/toc/2045-2322Abstract The latency of the auditory steady-state response (ASSR) may provide valuable information regarding the integrity of the auditory system, as it could potentially reveal the presence of multiple intracerebral sources. To estimate multiple latencies from high-order ASSRs, we propose a novel two-stage procedure that consists of a nonparametric estimation method, called apparent latency from phase coherence (ALPC), followed by a heuristic sequential forward selection algorithm (SFS). Compared with existing methods, ALPC-SFS requires few prior assumptions, and is straightforward to implement for higher-order nonlinear responses to multi-cosine sound complexes with their initial phases set to zero. It systematically evaluates the nonlinear components of the ASSRs by estimating multiple latencies, automatically identifies involved ASSR components, and reports a latency consistency index. To verify the proposed method, we performed simulations for several scenarios: two nonlinear subsystems with different or overlapping outputs. We compared the results from our method with predictions from existing, parametric methods. We also recorded the EEG from ten normal-hearing adults by bilaterally presenting superimposed tones with four frequencies that evoke a unique set of ASSRs. From these ASSRs, two major latencies were found to be stable across subjects on repeated measurement days. The two latencies are dominated by low-frequency (LF) (near 40 Hz, at around 41–52 ms) and high-frequency (HF) (> 80 Hz, at around 21–27 ms) ASSR components. The frontal-central brain region showed longer latencies on LF components, but shorter latencies on HF components, when compared with temporal-lobe regions. In conclusion, the proposed nonparametric ALPC-SFS method, applied to zero-phase, multi-cosine sound complexes is more suitable for evaluating embedded nonlinear systems underlying ASSRs than existing methods. It may therefore be a promising objective measure for hearing performance and auditory cortex (dys)function.Lei WangElisabeth NoordanusA. John van OpstalNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-21 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Lei Wang Elisabeth Noordanus A. John van Opstal Estimating multiple latencies in the auditory system from auditory steady-state responses on a single EEG channel
description	Abstract The latency of the auditory steady-state response (ASSR) may provide valuable information regarding the integrity of the auditory system, as it could potentially reveal the presence of multiple intracerebral sources. To estimate multiple latencies from high-order ASSRs, we propose a novel two-stage procedure that consists of a nonparametric estimation method, called apparent latency from phase coherence (ALPC), followed by a heuristic sequential forward selection algorithm (SFS). Compared with existing methods, ALPC-SFS requires few prior assumptions, and is straightforward to implement for higher-order nonlinear responses to multi-cosine sound complexes with their initial phases set to zero. It systematically evaluates the nonlinear components of the ASSRs by estimating multiple latencies, automatically identifies involved ASSR components, and reports a latency consistency index. To verify the proposed method, we performed simulations for several scenarios: two nonlinear subsystems with different or overlapping outputs. We compared the results from our method with predictions from existing, parametric methods. We also recorded the EEG from ten normal-hearing adults by bilaterally presenting superimposed tones with four frequencies that evoke a unique set of ASSRs. From these ASSRs, two major latencies were found to be stable across subjects on repeated measurement days. The two latencies are dominated by low-frequency (LF) (near 40 Hz, at around 41–52 ms) and high-frequency (HF) (> 80 Hz, at around 21–27 ms) ASSR components. The frontal-central brain region showed longer latencies on LF components, but shorter latencies on HF components, when compared with temporal-lobe regions. In conclusion, the proposed nonparametric ALPC-SFS method, applied to zero-phase, multi-cosine sound complexes is more suitable for evaluating embedded nonlinear systems underlying ASSRs than existing methods. It may therefore be a promising objective measure for hearing performance and auditory cortex (dys)function.
format	article
author	Lei Wang Elisabeth Noordanus A. John van Opstal
author_facet	Lei Wang Elisabeth Noordanus A. John van Opstal
author_sort	Lei Wang
title	Estimating multiple latencies in the auditory system from auditory steady-state responses on a single EEG channel
title_short	Estimating multiple latencies in the auditory system from auditory steady-state responses on a single EEG channel
title_full	Estimating multiple latencies in the auditory system from auditory steady-state responses on a single EEG channel
title_fullStr	Estimating multiple latencies in the auditory system from auditory steady-state responses on a single EEG channel
title_full_unstemmed	Estimating multiple latencies in the auditory system from auditory steady-state responses on a single EEG channel
title_sort	estimating multiple latencies in the auditory system from auditory steady-state responses on a single eeg channel
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/7353b2ae79e549a99f266fb32a01315f
work_keys_str_mv	AT leiwang estimatingmultiplelatenciesintheauditorysystemfromauditorysteadystateresponsesonasingleeegchannel AT elisabethnoordanus estimatingmultiplelatenciesintheauditorysystemfromauditorysteadystateresponsesonasingleeegchannel AT ajohnvanopstal estimatingmultiplelatenciesintheauditorysystemfromauditorysteadystateresponsesonasingleeegchannel
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Estimating multiple latencies in the auditory system from auditory steady-state responses on a single EEG channel

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