The auditory-brainstem response to continuous, non repetitive speech is modulated by the speech envelope and reflects speech processing
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Published version
Accepted version
Author(s)
Reichenbach, CS
Braiman, C
Schiff, ND
Hudspeth, AJ
Reichenbach, JDT
Type
Journal Article
Abstract
The auditory-brainstem response (ABR) to short and simple acoustical signals is an important clinical tool used to diagnose the integrity of the brainstem. The ABR is also employed to investigate the auditory brainstem in a multitude of tasks related to hearing, such as processing speech or selectively focusing on one speaker in a noisy environment. Such research measures the response of the brainstem to short speech signals such as vowels or words. Because the voltage signal of the ABR has a tiny amplitude, several hundred to a thousand repetitions of the acoustic signal are needed to obtain a reliable response. The large number of repetitions poses a challenge to assessing cognitive functions due to neural adaptation. Here we show that continuous, non-repetitive speech, lasting several minutes, may be employed to measure the ABR. Because the speech is not repeated during the experiment, the precise temporal form of the ABR cannot be determined. We show, however, that important structural features of the ABR can nevertheless be inferred. In particular, the brainstem responds at the fundamental frequency of the speech signal, and this response is modulated by the envelope of the voiced parts of speech. We accordingly introduce a novel measure that assesses the ABR as modulated by the speech envelope, at the fundamental frequency of speech and at the characteristic latency of the response. This measure has a high signal-to-noise ratio and can hence be employed effectively to measure the ABR to continuous speech. We use this novel measure to show that the auditory brainstem response is weaker to intelligible speech than to unintelligible, time-reversed speech. The methods presented here can be employed for further research on speech processing in the auditory brainstem and can lead to the development of future clinical diagnosis of brainstem function.
Date Issued
2016-04-29
Date Acceptance
2016-04-29
Citation
Frontiers in Computational Neuroscience, 2016, 10
ISSN
1662-5188
Publisher
Frontiers Media
Journal / Book Title
Frontiers in Computational Neuroscience
Volume
10
Copyright Statement
© 2016 Reichenbach, Braiman, Schiff, Hudspeth and Reichenbach. This is an open-access article
distributed under the terms of the Creative Commons Attribution License (CC BY). The use,
distribution and reproduction in other forums is permitted, provided the original author(s) or
licensor are credited and that the original publication in this journal is cited, in accordance with
accepted academic practice. No use, distribution or reproduction is permitted which does not
comply with these terms.
distributed under the terms of the Creative Commons Attribution License (CC BY). The use,
distribution and reproduction in other forums is permitted, provided the original author(s) or
licensor are credited and that the original publication in this journal is cited, in accordance with
accepted academic practice. No use, distribution or reproduction is permitted which does not
comply with these terms.
License URL
Sponsor
University of Southampton
Wellcome Trust
Grant Number
EP/M026728/1
108295/Z/15/Z
Subjects
1103 Clinical Sciences
1109 Neurosciences
Publication Status
Published
Article Number
47