Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
Minimum Detectable Differences in Electrocochleography Measurements: Bayesian-Based Predictions
by
Lichtenhan, Jeffery T.
, Goodman, Shawn S.
, Jennings, Skyler G.
in
Action potential
/ Audiometry, Evoked Response - methods
/ Auditory evoked potentials
/ Auditory nerve
/ Bayes Theorem
/ Bayesian analysis
/ Cochlea
/ Eardrum
/ Ears & hearing
/ Electrocochleography
/ Electrodes
/ Evoked Potentials, Auditory
/ Hearing
/ Hearing loss
/ Humans
/ Laboratories
/ Medicine
/ Medicine & Public Health
/ Neurobiology
/ Neurosciences
/ Otorhinolaryngology
/ Physiology
/ Research Article
/ Signal processing
/ Software
/ Tympanic membrane
2023
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Minimum Detectable Differences in Electrocochleography Measurements: Bayesian-Based Predictions
by
Lichtenhan, Jeffery T.
, Goodman, Shawn S.
, Jennings, Skyler G.
in
Action potential
/ Audiometry, Evoked Response - methods
/ Auditory evoked potentials
/ Auditory nerve
/ Bayes Theorem
/ Bayesian analysis
/ Cochlea
/ Eardrum
/ Ears & hearing
/ Electrocochleography
/ Electrodes
/ Evoked Potentials, Auditory
/ Hearing
/ Hearing loss
/ Humans
/ Laboratories
/ Medicine
/ Medicine & Public Health
/ Neurobiology
/ Neurosciences
/ Otorhinolaryngology
/ Physiology
/ Research Article
/ Signal processing
/ Software
/ Tympanic membrane
2023
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Minimum Detectable Differences in Electrocochleography Measurements: Bayesian-Based Predictions
by
Lichtenhan, Jeffery T.
, Goodman, Shawn S.
, Jennings, Skyler G.
in
Action potential
/ Audiometry, Evoked Response - methods
/ Auditory evoked potentials
/ Auditory nerve
/ Bayes Theorem
/ Bayesian analysis
/ Cochlea
/ Eardrum
/ Ears & hearing
/ Electrocochleography
/ Electrodes
/ Evoked Potentials, Auditory
/ Hearing
/ Hearing loss
/ Humans
/ Laboratories
/ Medicine
/ Medicine & Public Health
/ Neurobiology
/ Neurosciences
/ Otorhinolaryngology
/ Physiology
/ Research Article
/ Signal processing
/ Software
/ Tympanic membrane
2023
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Minimum Detectable Differences in Electrocochleography Measurements: Bayesian-Based Predictions
Journal Article
Minimum Detectable Differences in Electrocochleography Measurements: Bayesian-Based Predictions
2023
Request Book From Autostore
and Choose the Collection Method
Overview
Physiology of the cochlea and auditory nerve can be assessed with electrocochleography (ECochG), a technique that involves measuring auditory evoked potentials from an electrode placed near or within the cochlea. Research, clinical, and operating room applications of ECochG have in part centered on measuring the auditory nerve compound action potential (AP) amplitude, the summating potential (SP) amplitude, and the ratio of the two (SP/AP). Despite the common use of ECochG, the variability of repeated amplitude measurements for individuals and groups is not well understood. We analyzed ECochG measurements made with a tympanic membrane electrode in a group of younger normal-hearing participants to characterize the within-participant and group-level variability for the AP amplitude, SP amplitude, and SP/AP amplitude ratio. Results show that the measurements have substantial variability and that, especially with smaller sample sizes, significant reduction in variability can be obtained by averaging measurements across repeated electrode placements within subjects. Using a Bayesian-based model of the data, we generated simulated data to predict minimum detectable differences in AP and SP amplitudes for experiments with a given number of participants and repeated measurements. Our findings provide evidence-based recommendations for the design and sample size determination of future experiments using ECochG amplitude measurements, and the evaluation of previous publications in terms of sensitivity to detecting experimental effects on ECochG amplitude measurements. Accounting for the variability of ECochG measurements should result in more consistent results in the clinical and basic assessments of hearing and hearing loss, either hidden or overt.
This website uses cookies to ensure you get the best experience on our website.