Improved Transient Response Estimations in Predicting 40 Hz Auditory Steady-State Response Using Deconvolution Methods

The auditory steady-state response (ASSR) is one of the main approaches in clinic for health screening and frequency-specific hearing assessment. However, its generation mechanism is still of much controversy. In the present study, the linear superposition hypothesis for the generation of ASSRs was...

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Main Authors: Xiaodan Tan, Qiuyang Fu, Han Yuan, Lei Ding, Tao Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2017-12-01
Series:Frontiers in Neuroscience
Subjects:
Online Access:http://journal.frontiersin.org/article/10.3389/fnins.2017.00697/full
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spelling doaj-1a35f245ef0441569ba2ecd420fae4762020-11-24T21:56:11ZengFrontiers Media S.A.Frontiers in Neuroscience1662-453X2017-12-011110.3389/fnins.2017.00697297702Improved Transient Response Estimations in Predicting 40 Hz Auditory Steady-State Response Using Deconvolution MethodsXiaodan Tan0Qiuyang Fu1Han Yuan2Lei Ding3Tao Wang4School of Biomedical Engineering, Southern Medical University, Guangzhou, ChinaDepartment of Otolaryngology, Guangdong Second Provincial General Hospital, Guangzhou, ChinaStephenson School of Biomedical Engineering, University of Oklahoma, Norman, OK, United StatesStephenson School of Biomedical Engineering, University of Oklahoma, Norman, OK, United StatesCollege of Big Data and Internet, Shenzhen Technology University, Shenzhen, ChinaThe auditory steady-state response (ASSR) is one of the main approaches in clinic for health screening and frequency-specific hearing assessment. However, its generation mechanism is still of much controversy. In the present study, the linear superposition hypothesis for the generation of ASSRs was investigated by comparing the relationships between the classical 40 Hz ASSR and three synthetic ASSRs obtained from three different templates for transient auditory evoked potential (AEP). These three AEPs are the traditional AEP at 5 Hz and two 40 Hz AEPs derived from two deconvolution algorithms using stimulus sequences, i.e., continuous loop averaging deconvolution (CLAD) and multi-rate steady-state average deconvolution (MSAD). CLAD requires irregular inter-stimulus intervals (ISIs) in the sequence while MSAD uses the same ISIs but evenly-spaced stimulus sequences which mimics the classical 40 Hz ASSR. It has been reported that these reconstructed templates show similar patterns but significant difference in morphology and distinct frequency characteristics in synthetic ASSRs. The prediction accuracies of ASSR using these templates show significant differences (p < 0.05) in 45.95, 36.28, and 10.84% of total time points within four cycles of ASSR for the traditional, CLAD, and MSAD templates, respectively, as compared with the classical 40 Hz ASSR, and the ASSR synthesized from the MSAD transient AEP suggests the best similarity. And such a similarity is also demonstrated at individuals only in MSAD showing no statistically significant difference (Hotelling's T2 test, T2 = 6.96, F = 0.80, p = 0.592) as compared with the classical 40 Hz ASSR. The present results indicate that both stimulation rate and sequencing factor (ISI variation) affect transient AEP reconstructions from steady-state stimulation protocols. Furthermore, both auditory brainstem response (ABR) and middle latency response (MLR) are observed in contributing to the composition of ASSR but with variable weights in three templates. The significantly improved prediction accuracy of ASSR achieved by MSAD strongly supports the linear superposition mechanism of ASSR if an accurate template of transient AEPs can be reconstructed. The capacity in obtaining both ASSR and its underlying transient components accurately and simultaneously has the potential to contribute significantly to diagnosis of patients with neuropsychiatric disorders.http://journal.frontiersin.org/article/10.3389/fnins.2017.00697/fullauditory steady-state responselinear superposition hypothesismulti-rate steady-state average deconvolutioncontinuous loop averaging deconvolutionstimulus sequencing scheme
collection DOAJ
language English
format Article
sources DOAJ
author Xiaodan Tan
Qiuyang Fu
Han Yuan
Lei Ding
Tao Wang
spellingShingle Xiaodan Tan
Qiuyang Fu
Han Yuan
Lei Ding
Tao Wang
Improved Transient Response Estimations in Predicting 40 Hz Auditory Steady-State Response Using Deconvolution Methods
Frontiers in Neuroscience
auditory steady-state response
linear superposition hypothesis
multi-rate steady-state average deconvolution
continuous loop averaging deconvolution
stimulus sequencing scheme
author_facet Xiaodan Tan
Qiuyang Fu
Han Yuan
Lei Ding
Tao Wang
author_sort Xiaodan Tan
title Improved Transient Response Estimations in Predicting 40 Hz Auditory Steady-State Response Using Deconvolution Methods
title_short Improved Transient Response Estimations in Predicting 40 Hz Auditory Steady-State Response Using Deconvolution Methods
title_full Improved Transient Response Estimations in Predicting 40 Hz Auditory Steady-State Response Using Deconvolution Methods
title_fullStr Improved Transient Response Estimations in Predicting 40 Hz Auditory Steady-State Response Using Deconvolution Methods
title_full_unstemmed Improved Transient Response Estimations in Predicting 40 Hz Auditory Steady-State Response Using Deconvolution Methods
title_sort improved transient response estimations in predicting 40 hz auditory steady-state response using deconvolution methods
publisher Frontiers Media S.A.
series Frontiers in Neuroscience
issn 1662-453X
publishDate 2017-12-01
description The auditory steady-state response (ASSR) is one of the main approaches in clinic for health screening and frequency-specific hearing assessment. However, its generation mechanism is still of much controversy. In the present study, the linear superposition hypothesis for the generation of ASSRs was investigated by comparing the relationships between the classical 40 Hz ASSR and three synthetic ASSRs obtained from three different templates for transient auditory evoked potential (AEP). These three AEPs are the traditional AEP at 5 Hz and two 40 Hz AEPs derived from two deconvolution algorithms using stimulus sequences, i.e., continuous loop averaging deconvolution (CLAD) and multi-rate steady-state average deconvolution (MSAD). CLAD requires irregular inter-stimulus intervals (ISIs) in the sequence while MSAD uses the same ISIs but evenly-spaced stimulus sequences which mimics the classical 40 Hz ASSR. It has been reported that these reconstructed templates show similar patterns but significant difference in morphology and distinct frequency characteristics in synthetic ASSRs. The prediction accuracies of ASSR using these templates show significant differences (p < 0.05) in 45.95, 36.28, and 10.84% of total time points within four cycles of ASSR for the traditional, CLAD, and MSAD templates, respectively, as compared with the classical 40 Hz ASSR, and the ASSR synthesized from the MSAD transient AEP suggests the best similarity. And such a similarity is also demonstrated at individuals only in MSAD showing no statistically significant difference (Hotelling's T2 test, T2 = 6.96, F = 0.80, p = 0.592) as compared with the classical 40 Hz ASSR. The present results indicate that both stimulation rate and sequencing factor (ISI variation) affect transient AEP reconstructions from steady-state stimulation protocols. Furthermore, both auditory brainstem response (ABR) and middle latency response (MLR) are observed in contributing to the composition of ASSR but with variable weights in three templates. The significantly improved prediction accuracy of ASSR achieved by MSAD strongly supports the linear superposition mechanism of ASSR if an accurate template of transient AEPs can be reconstructed. The capacity in obtaining both ASSR and its underlying transient components accurately and simultaneously has the potential to contribute significantly to diagnosis of patients with neuropsychiatric disorders.
topic auditory steady-state response
linear superposition hypothesis
multi-rate steady-state average deconvolution
continuous loop averaging deconvolution
stimulus sequencing scheme
url http://journal.frontiersin.org/article/10.3389/fnins.2017.00697/full
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AT qiuyangfu improvedtransientresponseestimationsinpredicting40hzauditorysteadystateresponseusingdeconvolutionmethods
AT hanyuan improvedtransientresponseestimationsinpredicting40hzauditorysteadystateresponseusingdeconvolutionmethods
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