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Characteristics of the Deconvolved Transient AEP from 80 Hz Steady-State Responses to Amplitude Modulation Stimulation

A Correction to this article was published on 07 October 2021

This article has been updated


This study aimed to validate the existence and investigate the characteristics of the transient responses from conventional auditory steady-state responses (ASSRs) using deconvolution methods capable of dealing with amplitude modulated (AM) stimulation. Conventional ASSRs to seven stimulus rates were recorded from 17 participants. A deconvolution method was selected and modified to accommodate the AM stimulation. The calculated responses were examined in terms of temporal features with respect to different combinations of stimulus rates. Stable transient responses consisting of early stage brainstem responses and middle latency responses were reconstructed consistently for all rate combinations, which indicates that the superposition hypothesis is applicable to the generation of approximately 80 Hz ASSRs evoked by AM tones (AM-ASSRs). The new transient responses are characterized by three pairs of peak-troughs named as n0p0, n1p1, and n2p2 within 40 ms. Compared with conventional ABR-MLRs, the n0p0 indicates the first neural activity where p0 might represent the main ABR components; the n1 is the counterpart of N10; the p2 is corresponding to the robust Pa at about 30 ms; the p1 and n2 are absent of real counterparts. The peak–peak amplitudes show a slight decrease with increasing stimulation rate from 75 to 95 Hz whereas the peak latencies change differently, which is consistent with the known rate-effect on AEPs. This is direct evidence for a transient response derived from AM-ASSRs for the first time. The characteristic components offer insight into the constitution of AM-ASSRs and may be promising in clinical applications and fundamental studies.

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Data Availability and Material

Data and material are available in figshare,

Code Availability

Codes of software are available in figshare,

Change history

  • 07 October 2021

    This article has been corrected to include the statement “Tao Wang and Yuner Chen are both first authors with equal contributions” in the PDF.

  • 07 October 2021

    A Correction to this paper has been published:



Auditory brainstem response


Auditory evoked potential


Amplitude modulation


ASSR evoked by AM pure tone


Reconstructed tAEP from AM-ASSR and considered as the response elicited by one sound element in AM tone


Auditory steady-state response


Continuous loop averaging deconvolution


Reconstructed tAEP from ASSR evoked by clicks at high rates and considered as the response evoked by one click stimulus in a click sequence at high repetition rates




Interstimulus interval


Middle latency response


Maximum length sequence


Multirate steady-state averaging deconvolution


Signal-to-noise ratio


Singular value decomposition, a mathematical tool


Transient AEP


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The authors thank statistician Jun Qian for her technical support on statistical analysis.


This work was supported by the Science and Technology Program of Guangzhou, China under Grant 201,804,010,282.

Author information




All authors contributed to the study, conception and design. Material preparation, data collection and analysis were performed by Tao Wang, Yuner Chen, and Xiaodan Tan. The first draft of the manuscript was written by Xiaodan Tan and Qiuyang Fu. All authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Xiaodan Tan.

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The experiment was approved by the Human Research Ethics Committee of Southern Medical University (No. 2015-KYLL-004).

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The authors declare no competing interests.

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Wang, T., Chen, Y., Fu, Q. et al. Characteristics of the Deconvolved Transient AEP from 80 Hz Steady-State Responses to Amplitude Modulation Stimulation. JARO (2021).

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  • Amplitude modulation tone
  • Auditory steady-state response
  • Linear superposition hypothesis
  • Multirate steady-state averaging deconvolution method
  • Rate combination