Literature DB >> 12597187

The importance of cochlear processing for the formation of auditory brainstem and frequency following responses.

Torsten Dau1.   

Abstract

A model for the generation of auditory brainstem responses (ABR) and frequency following responses (FFRs) is presented. The model is based on the concept introduced by Goldstein and Kiang [J. Acoust. Soc. Am. 30, 107-114 (1958)] that evoked potentials recorded at remote electrodes can theoretically be given by convolution of an elementary unit waveform (unitary response) with the instantaneous discharge rate function for the corresponding unit. In the present study, the nonlinear computational auditory-nerve model recently developed by Heinz et al. [ARLO 2(3), 91-96 (2001)] was used to calculate the instantaneous discharge rate ri(t) for fibers i in the frequency range from 0.1 and 10 kHz. The summed activity across frequency was convolved with a unitary response which is assumed to reflect contributions from different cell populations within the auditory brainstem, recorded at a given pair of electrodes on the scalp. Predicted potential patterns are compared with experimental data for a number of stimulus and level conditions. Clicks, chirps as defined in Dau et al. [J. Acoust. Soc. Am. 107, 1530-1540 (2000)], long-duration stimuli comprising the chirp, as well as tones and slowly varying tonal sweeps were considered. The results demonstrate the importance of considering the effects of the basilar-membrane traveling wave and auditory-nerve processing for the formation of ABR and FFR. Specifically, the results support the hypothesis that the FFR to low-frequency tones represents synchronized activity mainly stemming from mid- and high-frequency units at more basal sites, and not from units tuned to frequencies around the signal frequency.

Entities:  

Mesh:

Year:  2003        PMID: 12597187     DOI: 10.1121/1.1534833

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


  34 in total

1.  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

2.  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

3.  Subcortical plasticity following perceptual learning in a pitch discrimination task.

Authors:  Samuele Carcagno; Christopher J Plack
Journal:  J Assoc Res Otolaryngol       Date:  2010-09-28

4.  Why middle-aged listeners have trouble hearing in everyday settings.

Authors:  Dorea Ruggles; Hari Bharadwaj; Barbara G Shinn-Cunningham
Journal:  Curr Biol       Date:  2012-06-21       Impact factor: 10.834

5.  Functional modeling of the human auditory brainstem response to broadband stimulation.

Authors:  Sarah Verhulst; Hari M Bharadwaj; Golbarg Mehraei; Christopher A Shera; Barbara G Shinn-Cunningham
Journal:  J Acoust Soc Am       Date:  2015-09       Impact factor: 1.840

6.  Auditory midbrain representation of a break in interaural correlation.

Authors:  Qian Wang; Liang Li
Journal:  J Neurophysiol       Date:  2015-08-12       Impact factor: 2.714

7.  A comparison of spectral magnitude and phase-locking value analyses of the frequency-following response to complex tones.

Authors:  Li Zhu; Hari Bharadwaj; Jing Xia; Barbara Shinn-Cunningham
Journal:  J Acoust Soc Am       Date:  2013-07       Impact factor: 1.840

8.  Losing the music: aging affects the perception and subcortical neural representation of musical harmony.

Authors:  Oliver Bones; Christopher J Plack
Journal:  J Neurosci       Date:  2015-03-04       Impact factor: 6.167

9.  Rapid acquisition of auditory subcortical steady state responses using multichannel recordings.

Authors:  Hari M Bharadwaj; Barbara G Shinn-Cunningham
Journal:  Clin Neurophysiol       Date:  2014-01-29       Impact factor: 3.708

10.  How early aging and environment interact in everyday listening: from brainstem to behavior through modeling.

Authors:  Barbara Shinn-Cunningham; Dorea R Ruggles; Hari Bharadwaj
Journal:  Adv Exp Med Biol       Date:  2013       Impact factor: 2.622

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.