Literature DB >> 15532653

Searching for the optimal stimulus eliciting auditory brainstem responses in humans.

Oliver Fobel1, Torsten Dau.   

Abstract

This study examines auditory brainstem responses (ABR) elicited by rising frequency chirps. Two chirp stimuli were developed and designed such as to compensate for cochlear travel-time differences across frequency, in order to maximize neural synchrony. One chirp, referred to as the O-chirp, was based on estimates of human basilar membrane (BM) group delays derived from stimulus-frequency otoacoustic emissions (SFOAE) at a sound pressure level of 40 dB [Shera and Guinan, in Recent Developments in Auditory Mechanics (2000)]. The other chirp, referred to as the A-chirp, was derived from latency functions fitted to tone-burst-evoked ABR wave-V data over a wide range of stimulus levels and frequencies [Neely et al., J. Acoust. Soc. Am. 83(2), 652-656 (1988)]. In this case, a set of level-dependent chirps was generated. The chirp-evoked responses, particularly wave-V amplitude and latency, were compared to click responses and to responses obtained with the original chirp as defined in Dau et al. [J. Acoust. Soc. Am. 107(3), 1530-1540 (2000)], referred to here as the M-chirp since it is based on a (linear) cochlea model. The main hypothesis was that, at low and medium stimulation levels, the O- and A-chirps might produce a larger response than the original M-chirp whose parameters were essentially derived from high-level BM data. The main results of the present study are as follows: (i) All chirps evoked a larger wave-V amplitude than the click stimulus indicating that for the chirps a broader range of spectral components contributes effectively to the ABR. (ii) Only small differences were found between the O-chirp and M-chirp responses at low and medium levels. This indicates that SFOAE may not provide a robust estimate of BM group delay, particularly at low frequencies, or that frequency-dependent neural delays exist which are not reflected in the design of these chirps. (iii) The A-chirp produced the largest responses, particularly at low stimulation levels. This chirp might therefore be valuable for clinical applications, particularly in tests where the click stimulus has been used so far.

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Year:  2004        PMID: 15532653     DOI: 10.1121/1.1787523

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN: 0001-4966            Impact factor:   1.840


  22 in total

1.  Perception of across-frequency asynchrony and the role of cochlear delays.

Authors:  Magdalena Wojtczak; Jordan A Beim; Christophe Micheyl; Andrew J Oxenham
Journal:  J Acoust Soc Am       Date:  2012-01       Impact factor: 1.840

2.  Auditory brainstem responses to chirps delivered by different insert earphones.

Authors:  Claus Elberling; Sinnet G B Kristensen; Manuel Don
Journal:  J Acoust Soc Am       Date:  2012-03       Impact factor: 1.840

3.  Evaluating auditory brainstem responses to different chirp stimuli at three levels of stimulation.

Authors:  Claus Elberling; Johannes Callø; Manuel Don
Journal:  J Acoust Soc Am       Date:  2010-07       Impact factor: 1.840

4.  A direct approach for the design of chirp stimuli used for the recording of auditory brainstem responses.

Authors:  Claus Elberling; Manuel Don
Journal:  J Acoust Soc Am       Date:  2010-11       Impact factor: 1.840

5.  Auditory brainstem responses to a chirp stimulus designed from derived-band latencies in normal-hearing subjects.

Authors:  Claus Elberling; Manuel Don
Journal:  J Acoust Soc Am       Date:  2008-11       Impact factor: 1.840

6.  Sources of auditory brainstem responses revisited: contribution by magnetoencephalography.

Authors:  Lauri Parkkonen; Nobuya Fujiki; Jyrki P Mäkelä
Journal:  Hum Brain Mapp       Date:  2009-06       Impact factor: 5.038

7.  [Objective frequency-specific measurement of hearing threshold using narrow-band chirp stimuli with level-adaptive simultaneous masking].

Authors:  I Baljić; M Walger
Journal:  HNO       Date:  2019-11       Impact factor: 1.284

8.  Rhythm judgments reveal a frequency asymmetry in the perception and neural coding of sound synchrony.

Authors:  Magdalena Wojtczak; Anahita H Mehta; Andrew J Oxenham
Journal:  Proc Natl Acad Sci U S A       Date:  2017-01-17       Impact factor: 11.205

9.  Effects of temporal stimulus properties on the perception of across-frequency asynchrony.

Authors:  Magdalena Wojtczak; Jordan A Beim; Christophe Micheyl; Andrew J Oxenham
Journal:  J Acoust Soc Am       Date:  2013-02       Impact factor: 1.840

10.  The Binaural Interaction Component in Barn Owl (Tyto alba) Presents few Differences to Mammalian Data.

Authors:  Nicolas Palanca-Castan; Geneviève Laumen; Darrin Reed; Christine Köppl
Journal:  J Assoc Res Otolaryngol       Date:  2016-08-25
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