Literature DB >> 3589481

Reference data for ABRs in retrocochlear diagnosis.

C Elberling, J Parbo.   

Abstract

A retrospective analysis has been carried out on the auditory brainstem responses obtained in 235 female and 249 male neurologically normal patients. The analysis is focused on the wave latencies and the I-V and I-III intervals are compared with the classification parameters sex, age and high-frequency hearing loss. Since age and hearing loss are correlated, a multiple regression analysis is used to analyse the effects from the two variables. Both intervals are found to differ with sex (i.e. females display smaller values than males), to increase with age, and to decrease with hearing loss. Corrections are made for the classification parameters relative to 25 years and 0 dB HL. For the I-V interval, we find a mean value of 4.01 ms for the females and 4.19 ms for the males and a residual variance (SD) of 0.20 ms. For the I-III interval, we find a mean value of 2.13 ms for the females and 2.27 ms for the males and a residual variance (SD) of 0.16 ms. However, for the I-III interval, only the male data show dependence of hearing loss. In 78 patients, the electrocochleographic N1 is used to ensure the wave I latency and there is in general a good agreement between the two latency measures. However, in patients with profound high-frequency hearing loss differences up to 0.5 ms can be found.

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Year:  1987        PMID: 3589481     DOI: 10.3109/01050398709042155

Source DB:  PubMed          Journal:  Scand Audiol        ISSN: 0105-0397


  9 in total

1.  Specificity of auditory brainstem response audiometry criteria in acoustic neuroma screening as a function of deviations of reference values in patients with cochlear hearing loss.

Authors:  W Gstoettner; K Neuwirth-Riedl; H Swoboda; W Mostbeck; M Burian
Journal:  Eur Arch Otorhinolaryngol       Date:  1992       Impact factor: 2.503

2.  A direct approach for the design of chirp stimuli used for the recording of auditory brainstem responses.

Authors:  Claus Elberling; Manuel Don
Journal:  J Acoust Soc Am       Date:  2010-11       Impact factor: 1.840

3.  Age-related changes in the auditory brainstem response.

Authors:  Dawn Konrad-Martin; Marilyn F Dille; Garnett McMillan; Susan Griest; Daniel McDermott; Stephen A Fausti; Donald F Austin
Journal:  J Am Acad Audiol       Date:  2012-01       Impact factor: 1.664

4.  Differences by sex, ear, and sexual orientation in the time intervals between successive peaks in auditory evoked potentials.

Authors:  Dennis McFadden; Michelle D Hsieh; Adrian Garcia-Sierra; Craig A Champlin
Journal:  Hear Res       Date:  2010-09-27       Impact factor: 3.208

5.  Auditory brainstem responses to a chirp stimulus designed from derived-band latencies in normal-hearing subjects.

Authors:  Claus Elberling; Manuel Don
Journal:  J Acoust Soc Am       Date:  2008-11       Impact factor: 1.840

6.  Input and output compensation for the cochlear traveling wave delay in wide-band ABR recordings: implications for small acoustic tumor detection.

Authors:  Manuel Don; Claus Elberling; Erin Maloff
Journal:  J Am Acad Audiol       Date:  2009-02       Impact factor: 1.664

7.  Individual Differences in Auditory Brainstem Response Wave Characteristics: Relations to Different Aspects of Peripheral Hearing Loss.

Authors:  Sarah Verhulst; Anoop Jagadeesh; Manfred Mauermann; Frauke Ernst
Journal:  Trends Hear       Date:  2016-11-11       Impact factor: 3.293

8.  Towards Personalized Auditory Models: Predicting Individual Sensorineural Hearing-Loss Profiles From Recorded Human Auditory Physiology.

Authors:  Sarineh Keshishzadeh; Markus Garrett; Sarah Verhulst
Journal:  Trends Hear       Date:  2021 Jan-Dec       Impact factor: 3.293

9.  Effects of Aging Versus Noise Exposure on Auditory System in Individuals With Normal Audiometric Thresholds.

Authors:  Kondli Nagaraj Megha; Suprabha Kappadi; Ganapathy Mechiyanda Kaverappa; Sreeraj Konadath
Journal:  J Int Adv Otol       Date:  2021-07       Impact factor: 1.017

  9 in total

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