Title
Neural tonotopy in cochlear implants : an evaluation in unilateral cochlear implant patients with unilateral deafness and tinnitus Neural tonotopy in cochlear implants : an evaluation in unilateral cochlear implant patients with unilateral deafness and tinnitus
Author
Faculty/Department
Faculty of Social Sciences. Sociology
Faculty of Medicine and Health Sciences
Publication type
article
Publication
Amsterdam ,
Subject
Human medicine
Source (journal)
Hearing research. - Amsterdam
Volume/pages
245(2008) :1-2 , p. 98-106
ISSN
0378-5955
ISI
000261565700013
Carrier
E
Target language
English (eng)
Full text (Publishers DOI)
Affiliation
University of Antwerp
Abstract
In cochlear implants, the signal is filtered into different frequency bands and transmitted to electrodes along the cochlea. In this study the frequency-place function for electric hearing was investigated as a means to possibly improve speech coding by delivering information to the appropriate cochlear place. Fourteen subjects with functional hearing in the contralateral ear have been provided with a MED-EL cochlear implant in the deaf ear in order to reduce intractable tinnitus. Pitch scaling experiments were performed using single-electrode, constant-amplitude, constant-rate stimuli in the implanted ear, and acoustic sinusoids in the contralateral ear. The frequency-place function was calculated using the electrode position in the cochlea as obtained from postoperative skull radiographs. Individual frequency-place functions were compared to Greenwoods function in normal hearing. Electric stimulation elicited a low pitch in the apical region of the cochlea, and shifting the stimulating electrode towards the basal region elicited increasingly higher pitch. The frequency-place function did not show a significant shift relative to Greenwoods function. In cochlear implant patients with functional hearing in the non-implanted ear, electrical stimulation produced a frequency-place function that on average resembles Greenwoods function. These results differ from previously derived data.
E-info
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