Modelling Cochlear Mechanics

Ni, Guangjian; Elliott, Stephen J.; Ayat, Mohammad; Teal, Paul D.

doi:10.1155/2014/150637

Cited by 28 publications

(31 citation statements)

References 246 publications

(474 reference statements)

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“…The cochlear transduction has a long history of research, beginning from the pioneer works of Bekesy [1] and many others contemporary researchers [2][3][4][5]. The widely accepted point of view in question is that the mechanical sound vibrations are transformed by the cochlea to the traveling waves of the basilar membrane (BM), which in turn transfers the waves to the outer and inner hair cells.…”

Section: Introductionmentioning

confidence: 99%

On the molecular filters in cochlea transduction

Goussev

2018

Preprint

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The article is devoted to the specific consideration of the cochlear transduction for the low level sound intensities, which correspond to the regions near the perception threshold. The basic cochlea mechanics is extended by the new concept of the molecular filters, which allows us to discuss the transduction mechanism on the molecular level in the space-time domain. The molecular filters are supposed to be built on the set of the stereocilia of every inner hair cell. It is hypothesized that the molecular filters are the sensors in the feedback loop, which includes also outer hair cells along with the tectorial membrane and uses the zero compensation method to evaluate the traveling wave shape on the basilar membrane. Besides the compensation, the feedback loop, being spatially distributed along the cochlea, takes control over the tectorial membrane strain field generated by the outer hair cells, and implements it as the mechanism for the automatic gain control in the sound transduction.

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Section: Introductionmentioning

confidence: 99%

On the molecular filters in cochlea transduction

Goussev

2018

Preprint

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“…The implant is modelled using the beam theory, while shell elements are used to define a computational model of the basilar membrane. The cochlea walls are modelled as rigid which is a common assumption [4] due to the bony nature of the cochlea.…”

Section: Introductionmentioning

confidence: 99%

Numerical Simulation of Cochlear-Implant Surgery: Towards Patient-Specific Planning

Goury

Nguyen

Torres

et al. 2016

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016

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Abstract. During Cochlear Implant Surgery, the right placement of the implant and the minimization of the surgical trauma to the inner ear are an important issue with recurrent fails. In this study, we reproduced, using simulation, the mechanical insertion of the implant during the surgery. This simulation allows to have a better understanding of the failing cases: excessive contact force, buckling of the implant inside and outside the cochlea. Moreover, using a patient-specific geometric model of the cochlea in the simulation, we show that the insertion angle is a clinical parameter that has an influence on the forces endured by both the cochlea walls and the basilar membrane, and hence to post-operative trauma. The paper presents the mechanical models used for the implant, for the basilar membrane and the boundary conditions (contact, friction, insertion etc...) and discuss the obtained results in the perspective of using the simulation for planning and robotization of the implant insertion.

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“…At this point the membrane will vibrate with maximum amplitude. Beyond that point the reduced stiffness results in strong damping so the wave energy dissipates rapidly [10,19,25]. The transversal movement of the basilar membrane stretches and relaxes the tip links that connect adjacent stereocilia together.…”

Section: Introductionmentioning

confidence: 99%

Cochlear microphonic broad tuning curves

Ayat¹,

Teal²,

Searchfield³

et al. 2015

AIP Conference Proceedings

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Abstract. It is known that the cochlear microphonic voltage exhibits much broader tuning than does the basilar membrane motion. The most commonly used explanation for this is that when an electrode is inserted at a particular point inside the scala media, the microphonic potentials of neighbouring hair cells have different phases, leading to cancelation at the electrodes location. In situ recording of functioning outer hair cells (OHCs) for investigating this hypothesis is exceptionally difficult. Therefore, to investigate the discrepancy between the tuning curves of the basilar membrane and those of the cochlear microphonic, and the effect of phase cancellation of adjacent hair cells on the broadness of the cochlear microphonic tuning curves, we use an electromechanical model of the cochlea to devise an experiment. We explore the effect of adjacent hair cells (i.e., longitudinal phase cancellation) on the broadness of the cochlear microphonic tuning curves in different locations. The results of the experiment indicate that active longitudinal coupling (i.e., coupling with active adjacent outer hair cells) only slightly changes the broadness of the CM tuning curves. The results also demonstrate that there is a π phase difference between the potentials produced by the hair bundle and the soma near the place associated with the characteristic frequency based on place-frequency maps (i.e., the best place). We suggest that the transversal phase cancellation (caused by the phase difference between the hair bundle and the soma) plays a far more important role than longitudinal phase cancellation in the broadness of the cochlear microphonic tuning curves. Moreover, by increasing the modelled longitudinal resistance resulting the cochlear microphonic curves exhibiting sharper tuning. The results of the simulations suggest that the passive network of the organ of Corti determines the phase difference between the hair bundle and soma, and hence determines the sharpness of the cochlear microphonic tuning curves.

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Modelling Cochlear Mechanics

Cited by 28 publications

References 246 publications

On the molecular filters in cochlea transduction

On the molecular filters in cochlea transduction

Numerical Simulation of Cochlear-Implant Surgery: Towards Patient-Specific Planning

Cochlear microphonic broad tuning curves

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