Within- and across-frequency temporal processing and speech perception in cochlear implant users Article Swipe
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· 2022
· Open Access
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· DOI: https://doi.org/10.1371/journal.pone.0275772
Objective Cochlear implant (CI) recipient’s speech perception performance is highly variable and is influenced by temporal processing abilities. Temporal processing is commonly assessed using a behavioral task that requires the participant to detect a silent gap with the pre- and post-gap stimuli of the same frequency (within-frequency gap detection) or of different frequencies (across-frequency gap detection). The purpose of the study was to evaluate behavioral and electrophysiological measures of within- and across-frequency temporal processing and their correlations with speech perception performance in CI users. Design Participants included 11 post-lingually deafened adult CI users (n = 15 ears; Mean Age = 50.2 yrs) and 11 age- and gender-matched normal hearing (NH) individuals (n = 15 ears; Mean Age = 49.0 yrs). Speech perception was assessed with Consonant-Nucleus-Consonant Word Recognition (CNC), Arizona Biomedical Sentence Recognition (AzBio), and Bamford-Kowal-Bench Speech-in-Noise Test (BKB-SIN) tests. Within- and across-frequency behavioral gap detection thresholds (referred to as the GDT within and GDT across ) were measured using an adaptive, two-alternative, forced-choice procedure. Cortical auditory evoked potentials (CAEPs) were elicited using within- and across-frequency gap stimuli under four gap duration conditions (no gap, GDT, sub-threshold GDT, and supra-threshold GDT). Correlations among speech perception, GDTs, and CAEPs were examined. Results CI users had poorer speech perception scores compared to NH listeners ( p < 0.05), but the GDTs were not different between groups ( p > 0.05). Compared to NH peers, CI users showed increased N1 latency in the CAEPs evoked by the across-frequency gap stimuli ( p < 0.05). No group difference was observed for the CAEPs evoked by the within-frequency gap ( p > 0.05). Three CI ears showing the longest GDT within also showed the poorest performance in speech in noise. The within-frequency CAEP increased in amplitude with the increase of gap duration; while the across-frequency CAEP displayed a similar amplitude for all gap durations. There was a significant correlation between speech scores and within-frequency CAEP measures for the supra-threshold GDT condition, with CI users with poorer speech performance having a smaller N1-P2 amplitude and longer N1 latency. No correlations were found among GDT across , speech perception, and across-frequency CAEP measures. Conclusions Within- and across-frequency gap detection may involve different neural mechanisms. The within-frequency gap detection task can help identify CI users with poor speech performance for rehabilitation. The within-frequency CAEP is a better predictor for speech perception performance than the across-frequency CAEP.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1371/journal.pone.0275772
- OA Status
- gold
- Cited By
- 4
- References
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- Related Works
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- OpenAlex ID
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4305057147Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1371/journal.pone.0275772Digital Object Identifier
- Title
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Within- and across-frequency temporal processing and speech perception in cochlear implant usersWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2022Year of publication
- Publication date
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2022-10-13Full publication date if available
- Authors
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Chelsea M. Blankenship, Jareen Meinzen‐Derr, Fawen ZhangList of authors in order
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https://doi.org/10.1371/journal.pone.0275772Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1371/journal.pone.0275772Direct OA link when available
- Concepts
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Audiology, Cochlear implant, Speech perception, Perception, Psychology, Consonant, Speech processing, Medicine, Speech recognition, Computer science, Neuroscience, VowelTop concepts (fields/topics) attached by OpenAlex
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4Total citation count in OpenAlex
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2025: 2, 2024: 1, 2023: 1Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.11 | 87, 103 |
| abstract_inverted_index.15 | 95, 113 |
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| abstract_inverted_index.NH | 210, 230 |
| abstract_inverted_index.No | 251, 342 |
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| abstract_inverted_index.may | 362 |
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| abstract_inverted_index.> | 226, 266 |
| abstract_inverted_index.< | 214, 249 |
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| abstract_inverted_index.(NH) | 109 |
| abstract_inverted_index.49.0 | 118 |
| abstract_inverted_index.50.2 | 100 |
| abstract_inverted_index.CAEP | 287, 300, 319, 354, 385 |
| abstract_inverted_index.GDT, | 185, 187 |
| abstract_inverted_index.GDTs | 218 |
| abstract_inverted_index.Mean | 97, 115 |
| abstract_inverted_index.Test | 137 |
| abstract_inverted_index.Word | 126 |
| abstract_inverted_index.age- | 104 |
| abstract_inverted_index.also | 276 |
| abstract_inverted_index.ears | 270 |
| abstract_inverted_index.four | 179 |
| abstract_inverted_index.gap, | 184 |
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| abstract_inverted_index.poor | 378 |
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| abstract_inverted_index.same | 44 |
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| abstract_inverted_index.CAEP. | 397 |
| abstract_inverted_index.CAEPs | 197, 240, 258 |
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| abstract_inverted_index.GDTs, | 195 |
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| abstract_inverted_index.There | 309 |
| abstract_inverted_index.Three | 268 |
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| abstract_inverted_index.their | 75 |
| abstract_inverted_index.under | 178 |
| abstract_inverted_index.users | 92, 202, 233, 328, 376 |
| abstract_inverted_index.using | 23, 159, 172 |
| abstract_inverted_index.while | 297 |
| abstract_inverted_index.yrs). | 119 |
| abstract_inverted_index.(CNC), | 128 |
| abstract_inverted_index.0.05), | 215 |
| abstract_inverted_index.0.05). | 227, 250, 267 |
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| abstract_inverted_index.Speech | 120 |
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| abstract_inverted_index.highly | 9 |
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| abstract_inverted_index.normal | 107 |
| abstract_inverted_index.peers, | 231 |
| abstract_inverted_index.poorer | 204, 330 |
| abstract_inverted_index.scores | 207, 316 |
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| abstract_inverted_index.users. | 83 |
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| abstract_inverted_index.smaller | 335 |
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| abstract_inverted_index.Cortical | 165 |
| abstract_inverted_index.Sentence | 131 |
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| abstract_inverted_index.latency. | 341 |
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| abstract_inverted_index.(referred | 147 |
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