Literature DB >> 23145616

Analysis of the cochlear microphonic to a low-frequency tone embedded in filtered noise.

Mark E Chertoff1, Brian R Earl, Francisco J Diaz, Janna L Sorensen.   

Abstract

The cochlear microphonic was recorded in response to a 733 Hz tone embedded in noise that was high-pass filtered at 25 different frequencies. The amplitude of the cochlear microphonic increased as the high-pass cutoff frequency of the noise increased. The amplitude growth for a 60 dB SPL tone was steeper and saturated sooner than that of an 80 dB SPL tone. The growth for both signal levels, however, was not entirely cumulative with plateaus occurring at about 4 and 7 mm from the apex. A phenomenological model of the electrical potential in the cochlea that included a hair cell probability function and spiral geometry of the cochlea could account for both the slope of the growth functions and the plateau regions. This suggests that with high-pass-filtered noise, the cochlear microphonic recorded at the round window comes from the electric field generated at the source directed towards the electrode and not down the longitudinal axis of the cochlea.

Entities:  

Mesh:

Year:  2012        PMID: 23145616      PMCID: PMC3505208          DOI: 10.1121/1.4757746

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


  30 in total

1.  Comparison between the frequency specificities of auditory brainstem response thresholds to clicks with and without high-pass masking noise.

Authors:  E A Conijn; M P Brocaar; G A van Zanten; J F van der Drift
Journal:  Audiology       Date:  1992

2.  Place-specific derived cochlear microphonics from human ears.

Authors:  C W Ponton; M Don; J J Eggermont
Journal:  Scand Audiol       Date:  1992

Review 3.  Dielectric properties of tissues and biological materials: a critical review.

Authors:  K R Foster; H P Schwan
Journal:  Crit Rev Biomed Eng       Date:  1989

4.  Fine structure of the intracochlear potential field. II. Tone-evoked waveforms and cochlear microphonics.

Authors:  M Zidanic; W E Brownell
Journal:  J Neurophysiol       Date:  1992-01       Impact factor: 2.714

5.  High-synchrony cochlear compound action potentials evoked by rising frequency-swept tone bursts.

Authors:  S E Shore; A L Nuttall
Journal:  J Acoust Soc Am       Date:  1985-10       Impact factor: 1.840

6.  Masking of auditory brainstem responses in young and aged gerbils.

Authors:  F A Boettcher; J H Mills; J R Dubno; R A Schmiedt
Journal:  Hear Res       Date:  1995-09       Impact factor: 3.208

7.  Dielectric permittivity and electrical conductivity of fluid saturated bone.

Authors:  J D Kosterich; K R Foster; S R Pollack
Journal:  IEEE Trans Biomed Eng       Date:  1983-02       Impact factor: 4.538

8.  The cochlear place-frequency map of the adult and developing Mongolian gerbil.

Authors:  M Müller
Journal:  Hear Res       Date:  1996-05       Impact factor: 3.208

9.  The origin of the low-frequency microphonic in the first cochlear turn of guinea-pig.

Authors:  R B Patuzzi; G K Yates; B M Johnstone
Journal:  Hear Res       Date:  1989-05       Impact factor: 3.208

10.  Retrograde cochlear neuronal degeneration in human subjects.

Authors:  Y Suzuka; H F Schuknecht
Journal:  Acta Otolaryngol Suppl       Date:  1988
View more
  12 in total

1.  An analysis of cochlear response harmonics: Contribution of neural excitation.

Authors:  M E Chertoff; A M Kamerer; M Peppi; J T Lichtenhan
Journal:  J Acoust Soc Am       Date:  2015-11       Impact factor: 1.840

2.  An analytic approach to identifying the sources of the low-frequency round window cochlear response.

Authors:  Aryn M Kamerer; Mark E Chertoff
Journal:  Hear Res       Date:  2019-02-15       Impact factor: 3.208

3.  Spectral Ripples in Round-Window Cochlear Microphonics: Evidence for Multiple Generation Mechanisms.

Authors:  Karolina K Charaziak; Jonathan H Siegel; Christopher A Shera
Journal:  J Assoc Res Otolaryngol       Date:  2018-07-16

4.  Predicting the location of missing outer hair cells using the electrical signal recorded at the round window.

Authors:  Mark E Chertoff; Brian R Earl; Francisco J Diaz; Janna L Sorensen; Megan L A Thomas; Aryn M Kamerer; Marcello Peppi
Journal:  J Acoust Soc Am       Date:  2014-09       Impact factor: 1.840

5.  A model of auditory brainstem response wave I morphology.

Authors:  Aryn M Kamerer; Stephen T Neely; Daniel M Rasetshwane
Journal:  J Acoust Soc Am       Date:  2020-01       Impact factor: 1.840

6.  The potential use of low-frequency tones to locate regions of outer hair cell loss.

Authors:  Aryn M Kamerer; Francisco J Diaz; Marcello Peppi; Mark E Chertoff
Journal:  Hear Res       Date:  2016-09-24       Impact factor: 3.208

7.  Using Thresholds in Noise to Identify Hidden Hearing Loss in Humans.

Authors:  Courtney L Ridley; Judy G Kopun; Stephen T Neely; Michael P Gorga; Daniel M Rasetshwane
Journal:  Ear Hear       Date:  2018 Sep/Oct       Impact factor: 3.570

8.  Distinguishing hair cell from neural potentials recorded at the round window.

Authors:  Mathieu Forgues; Heather A Koehn; Askia K Dunnon; Stephen H Pulver; Craig A Buchman; Oliver F Adunka; Douglas C Fitzpatrick
Journal:  J Neurophysiol       Date:  2013-10-16       Impact factor: 2.714

9.  Using Cochlear Microphonic Potentials to Localize Peripheral Hearing Loss.

Authors:  Karolina K Charaziak; Christopher A Shera; Jonathan H Siegel
Journal:  Front Neurosci       Date:  2017-04-04       Impact factor: 4.677

Review 10.  Ups and Downs in 75 Years of Electrocochleography.

Authors:  Jos J Eggermont
Journal:  Front Syst Neurosci       Date:  2017-01-24
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.