Objective Identification of Simulated Cochlear Implant Settings in Normal-Hearing Listeners Via Auditory Cortical Evoked Potentials (Record no. 2771)
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| 000 -LEADER | |
|---|---|
| fixed length control field | nam a22 7a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20170721151150.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 170721b xxu||||| |||| 00| 0 eng d |
| 040 ## - CATALOGING SOURCE | |
| Transcribing agency | National Acoustic Laboratories |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Lee, Sungmin |
| 245 ## - TITLE STATEMENT | |
| Title | Objective Identification of Simulated Cochlear Implant Settings in Normal-Hearing Listeners Via Auditory Cortical Evoked Potentials |
| 520 3# - SUMMARY, ETC. | |
| Summary, etc | Objectives: Providing cochlear implant (CI) patients the optimal signal<br/>processing settings during mapping sessions is critical for facilitating<br/>their speech perception. Here, we aimed to evaluate whether auditory<br/>cortical event-related potentials (ERPs) could be used to objectively<br/>determine optimal CI parameters.<br/>Design: While recording neuroelectric potentials, we presented a set of<br/>acoustically vocoded consonants (aKa, aSHa, and aNa) to normal-hearing<br/>listeners (n = 12) that simulated speech tokens processed through<br/>four different combinations of CI stimulation rate and number of spectral<br/>maxima. Parameter settings were selected to feature relatively fast/<br/>slow stimulation rates and high/low number of maxima; 1800 pps/20<br/>maxima, 1800/8, 500/20 and 500/8.<br/>Results: Speech identification and reaction times did not differ with<br/>changes in either the number of maxima or stimulation rate indicating<br/>ceiling behavioral performance. Similarly, we found that conventional<br/>univariate analysis (analysis of variance) of N1 and P2 amplitude/latency<br/>failed to reveal strong modulations across CI-processed speech conditions.<br/>In contrast, multivariate discriminant analysis based on a combination<br/>of neural measures was used to create “neural confusion matrices”<br/>and identified a unique parameter set (1800/8) that maximally differentiated<br/>speech tokens at the neural level. This finding was corroborated by<br/>information transfer analysis which confirmed these settings optimally<br/>transmitted information in listeners’ neural and perceptual responses.<br/>Conclusions: Translated to actual implant patients, our findings suggest<br/>that scalp-recorded ERPs might be useful in determining optimal signal<br/>processing settings from among a closed set of parameter options and<br/>aid in the objective fitting of CI devices. |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Gavin M. Bidelman |
| 773 0# - HOST ITEM ENTRY | |
| Relationship information | 2016;38;e215–e226 |
| Title | Ear & Hearing |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://dspace.nal.gov.au/xmlui/bitstream/handle/123456789/708/Objective.pdf?sequence=1&isAllowed=y">https://dspace.nal.gov.au/xmlui/bitstream/handle/123456789/708/Objective.pdf?sequence=1&isAllowed=y</a> |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Universal Decimal Classification |
| Koha item type | Journal article |
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