Literature DB >> 24890715

Estimation of neural phase locking from stimulus-evoked potentials.

Eric Verschooten1, Philip X Joris.   

Abstract

The frequency extent over which fine structure is coded in the auditory nerve has been physiologically characterized in laboratory animals but is unknown in humans. Knowledge of the upper frequency limit in humans would inform the debate regarding the role of fine structure in human hearing. Of the presently available techniques, only the recording of mass neural potentials offers the promise to provide a physiological estimate of neural phase locking in humans. A challenge is to disambiguate neural phase locking from the receptor potentials. We studied mass potentials recorded on the cochlea and auditory nerve of cat and used several experimental manipulations to isolate the neural contribution to these potentials. We find a surprisingly large neural contribution in the signal recorded on the cochlear round window, and this contribution is in many aspects similar to the potential measured on the auditory nerve. The results suggest that recording of mass potentials through the middle ear is a promising approach to examine neural phase locking in humans.

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Year:  2014        PMID: 24890715      PMCID: PMC4164685          DOI: 10.1007/s10162-014-0465-9

Source DB:  PubMed          Journal:  J Assoc Res Otolaryngol        ISSN: 1438-7573


  27 in total

1.  Time course of adaptation and recovery from adaptation in the cat auditory-nerve neurophonic.

Authors:  T C Chimento; C E Schreiner
Journal:  J Acoust Soc Am       Date:  1990-08       Impact factor: 1.840

2.  Classification of unit types in the anteroventral cochlear nucleus: PST histograms and regularity analysis.

Authors:  C C Blackburn; M B Sachs
Journal:  J Neurophysiol       Date:  1989-12       Impact factor: 2.714

3.  Characteristics of tone-pip response patterns in relationship to spontaneous rate in cat auditory nerve fibers.

Authors:  W S Rhode; P H Smith
Journal:  Hear Res       Date:  1985-05       Impact factor: 3.208

4.  A comparison of synchronization filters in different auditory receptor organs.

Authors:  T F Weiss; C Rose
Journal:  Hear Res       Date:  1988-05       Impact factor: 3.208

5.  Stages of degradation of timing information in the cochlea: a comparison of hair-cell and nerve-fiber responses in the alligator lizard.

Authors:  T F Weiss; C Rose
Journal:  Hear Res       Date:  1988-05       Impact factor: 3.208

6.  The auditory neurophonic: basic properties.

Authors:  R L Snyder; C E Schreiner
Journal:  Hear Res       Date:  1984-09       Impact factor: 3.208

7.  Characterization of an EPSP-like potential recorded remotely from the round window.

Authors:  D F Dolan; L Xi; A L Nuttall
Journal:  J Acoust Soc Am       Date:  1989-12       Impact factor: 1.840

8.  Response from the exposed intracranial human auditory nerve to low-frequency tones: basic characteristics.

Authors:  A R Møller; H D Jho
Journal:  Hear Res       Date:  1989-03       Impact factor: 3.208

9.  Single-unit response at the round window of the guinea pig.

Authors:  V F Prijs
Journal:  Hear Res       Date:  1986       Impact factor: 3.208

10.  Phase-locking in the cochlear nerve of the guinea-pig and its relation to the receptor potential of inner hair-cells.

Authors:  A R Palmer; I J Russell
Journal:  Hear Res       Date:  1986       Impact factor: 3.208

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  12 in total

1.  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

2.  Medial olivocochlear efferent reflex inhibition of human cochlear nerve responses.

Authors:  J T Lichtenhan; U S Wilson; K E Hancock; J J Guinan
Journal:  Hear Res       Date:  2015-09-11       Impact factor: 3.208

3.  Residual Cochlear Function in Adults and Children Receiving Cochlear Implants: Correlations With Speech Perception Outcomes.

Authors:  Tatyana Elizabeth Fontenot; Christopher Kenneth Giardina; Margaret Dillon; Meredith A Rooth; Holly F Teagle; Lisa R Park; Kevin David Brown; Oliver F Adunka; Craig A Buchman; Harold C Pillsbury; Douglas C Fitzpatrick
Journal:  Ear Hear       Date:  2019 May/Jun       Impact factor: 3.570

4.  The role of excitation-pattern cues in the detection of frequency shifts in bandpass-filtered complex tones.

Authors:  Frederic Marmel; Christopher J Plack; Kathryn Hopkins; Robert P Carlyon; Hedwig E Gockel; Brian C J Moore
Journal:  J Acoust Soc Am       Date:  2015-05       Impact factor: 1.840

5.  Mass Potentials Recorded at the Round Window Enable the Detection of Low Spontaneous Rate Fibers in Gerbil Auditory Nerve.

Authors:  Charlène Batrel; Antoine Huet; Florian Hasselmann; Jing Wang; Gilles Desmadryl; Régis Nouvian; Jean-Luc Puel; Jérôme Bourien
Journal:  PLoS One       Date:  2017-01-13       Impact factor: 3.240

6.  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

7.  A Model-Based Approach for Separating the Cochlear Microphonic from the Auditory Nerve Neurophonic in the Ongoing Response Using Electrocochleography.

Authors:  Tatyana E Fontenot; Christopher K Giardina; Douglas C Fitzpatrick
Journal:  Front Neurosci       Date:  2017-10-23       Impact factor: 4.677

8.  High-resolution frequency tuning but not temporal coding in the human cochlea.

Authors:  Eric Verschooten; Christian Desloovere; Philip X Joris
Journal:  PLoS Biol       Date:  2018-10-15       Impact factor: 8.029

9.  The upper frequency limit for the use of phase locking to code temporal fine structure in humans: A compilation of viewpoints.

Authors:  Eric Verschooten; Shihab Shamma; Andrew J Oxenham; Brian C J Moore; Philip X Joris; Michael G Heinz; Christopher J Plack
Journal:  Hear Res       Date:  2019-03-15       Impact factor: 3.208

10.  The Auditory Nerve Overlapped Waveform (ANOW) Detects Small Endolymphatic Manipulations That May Go Undetected by Conventional Measurements.

Authors:  Jeffery T Lichtenhan; Choongheon Lee; Farah Dubaybo; Kaitlyn A Wenrich; Uzma S Wilson
Journal:  Front Neurosci       Date:  2017-07-18       Impact factor: 4.677

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