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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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 |
work_keys_str_mv |
AT xiaodantan improvedtransientresponseestimationsinpredicting40hzauditorysteadystateresponseusingdeconvolutionmethods AT qiuyangfu improvedtransientresponseestimationsinpredicting40hzauditorysteadystateresponseusingdeconvolutionmethods AT hanyuan improvedtransientresponseestimationsinpredicting40hzauditorysteadystateresponseusingdeconvolutionmethods AT leiding improvedtransientresponseestimationsinpredicting40hzauditorysteadystateresponseusingdeconvolutionmethods AT taowang improvedtransientresponseestimationsinpredicting40hzauditorysteadystateresponseusingdeconvolutionmethods |
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