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

Autor:	A. John Van Opstal, Elisabeth Noordanus, Lei Wang
Rok vydání:	2021
Předmět:	0301 basic medicine Adult Steady state (electronics) Computer science Science Speech recognition Biophysics Electroencephalography Signal-To-Noise Ratio Auditory cortex Article 03 medical and health sciences 0302 clinical medicine medicine Auditory system Humans Latency (engineering) Set (psychology) 030304 developmental biology 0303 health sciences Multidisciplinary medicine.diagnostic_test Signal Processing Computer-Assisted 030104 developmental biology medicine.anatomical_structure Acoustic Stimulation Auditory Perception Medicine Biomedical engineering 030217 neurology & neurosurgery Algorithms Communication channel
Zdroj:	Scientific Reports Scientific Reports, 11, 1, pp. 1-21 Scientific Reports, 11, 1-21 Scientific Reports, Vol 11, Iss 1, Pp 1-21 (2021)
ISSN:	2045-2322
DOI:	10.1038/s41598-021-81232-5
Popis:	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 (LCI). 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 (FC) 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. The Matlab scripts for the ALPC-SFS method is available here: https://github.com/ieeeWang/ALPC-SFS-method-Matlab-scripts.
Databáze:	OpenAIRE
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