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      A Preliminary Study of the Effects of Attentive Music Listening on Cochlear Implant Users’ Speech Perception, Quality of Life, and Behavioral and Objective Measures of Frequency Change Detection

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          Abstract

          Introduction

          Most cochlear implant (CI) users have difficulty in listening tasks that rely strongly on perception of frequency changes (e.g., speech perception in noise, musical melody perception, etc.). Some previous studies using behavioral or subjective assessments have shown that short-term music training can benefit CI users’ perception of music and speech. Electroencephalographic (EEG) recordings may reveal the neural basis for music training benefits in CI users.

          Objective

          To examine the effects of short-term music training on CI hearing outcomes using a comprehensive test battery of subjective evaluation, behavioral tests, and EEG measures.

          Design

          Twelve adult CI users were recruited for a home-based music training program that focused on attentive listening to music genres and materials that have an emphasis on melody. The participants used a music streaming program (i.e., Pandora) downloaded onto personal electronic devices for training. The participants attentively listened to music through a direct audio cable or through Bluetooth streaming. The training schedule was 40 min/session/day, 5 days/week, for either 4 or 8 weeks. The pre-training and post-training tests included: hearing thresholds, Speech, Spatial and Qualities of Hearing Scale (SSQ12) questionnaire, psychoacoustic tests of frequency change detection threshold (FCDT), speech recognition tests (CNC words, AzBio sentences, and QuickSIN), and EEG responses to tones that contained different magnitudes of frequency changes.

          Results

          All participants except one finished the 4- or 8-week training, resulting in a dropout rate of 8.33%. Eleven participants performed all tests except for two who did not participate in EEG tests. Results showed a significant improvement in the FCDTs as well as performance on CNC and QuickSIN after training ( p < 0.05), but no significant improvement in SSQ scores ( p > 0.05). Results of the EEG tests showed larger post-training cortical auditory evoked potentials (CAEPs) in seven of the nine participants, suggesting a better cortical processing of both stimulus onset and within-stimulus frequency changes.

          Conclusion

          These preliminary data suggest that extensive, focused music listening can improve frequency perception and speech perception in CI users. Further studies that include a larger sample size and control groups are warranted to determine the efficacy of short-term music training in CI users.

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          Most cited references59

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          Development and validation of the AzBio sentence lists.

          The goal of this study was to create and validate a new set of sentence lists that could be used to evaluate the speech perception abilities of hearing-impaired listeners and cochlear implant (CI) users. Our intention was to generate a large number of sentence lists with an equivalent level of difficulty for the evaluation of performance over time and across conditions. The AzBio sentence corpus includes 1000 sentences recorded from two female and two male talkers. The mean intelligibility of each sentence was estimated by processing each sentence through a five-channel CI simulation and calculating the mean percent correct score achieved by 15 normal-hearing listeners. Sentences from each talker were sorted by percent correct score, and 165 sentences were selected from each talker and were then sequentially assigned to 33 lists, each containing 20 sentences (5 sentences from each talker). List equivalency was validated by presenting all lists, in random order, to 15 CI users. Using sentence scores from the CI simulation study produced 33 lists of sentences with a mean score of 85% correct. The results of the validation study with CI users revealed no significant differences in percent correct scores for 29 of the 33 sentence lists. However, individual listeners demonstrated considerable variability in performance on the 29 lists. The binomial distribution model was used to account for the inherent variability observed in the lists. This model was also used to generate 95% confidence intervals for one and two list comparisons. A retrospective analysis of 172 instances where research subjects had been tested on two lists within a single condition revealed that 94% of results were accurately contained within these confidence intervals. The use of a five-channel CI simulation to estimate the intelligibility of individual sentences allowed for the creation of a large number of sentence lists with an equivalent level of difficulty. The results of the validation procedure with CI users found that 29 of 33 lists allowed scores that were not statistically different. However, individual listeners demonstrated considerable variability in performance across lists. This variability was accurately described by the binomial distribution model and was used to estimate the magnitude of change required to achieve statistical significance when comparing scores from one and two lists per condition. Fifteen sentence lists have been included in the AzBio Sentence Test for use in the clinical evaluation of hearing-impaired listeners and CI users. An additional eight sentence lists have been included in the Minimum Speech Test Battery to be distributed by the CI manufacturers for the evaluation of CI candidates.
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            Can nonlinguistic musical training change the way the brain processes speech? The expanded OPERA hypothesis.

            A growing body of research suggests that musical training has a beneficial impact on speech processing (e.g., hearing of speech in noise and prosody perception). As this research moves forward two key questions need to be addressed: 1) Can purely instrumental musical training have such effects? 2) If so, how and why would such effects occur? The current paper offers a conceptual framework for understanding such effects based on mechanisms of neural plasticity. The expanded OPERA hypothesis proposes that when music and speech share sensory or cognitive processing mechanisms in the brain, and music places higher demands on these mechanisms than speech does, this sets the stage for musical training to enhance speech processing. When these higher demands are combined with the emotional rewards of music, the frequent repetition that musical training engenders, and the focused attention that it requires, neural plasticity is activated and makes lasting changes in brain structure and function which impact speech processing. Initial data from a new study motivated by the OPERA hypothesis is presented, focusing on the impact of musical training on speech perception in cochlear-implant users. Suggestions for the development of animal models to test OPERA are also presented, to help motivate neurophysiological studies of how auditory training using non-biological sounds can impact the brain's perceptual processing of species-specific vocalizations. This article is part of a Special Issue entitled . Copyright © 2013 Elsevier B.V. All rights reserved.
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              A short form of the Speech, Spatial and Qualities of Hearing scale suitable for clinical use: the SSQ12.

              To develop and evaluate a 12-item version of the Speech, Spatial and Qualities of Hearing scale for use in clinical research and rehabilitation settings, and provide a formula for converting scores between the full (SSQ49) and abbreviated (SSQ12) versions. Items were selected independently at the three centres (Eriksholm Research Centre, MRC Institute of Hearing Research, University of New England) to be representative of the complete scale. A consensus was achieved after discussion. The data set (n = 1220) used for a factor analysis (Akeroyd et al, submitted) was re-analysed to compare original SSQ scores (SSQ49) with scores on the short version (SSQ12). A scatter-plot of SSQ12 scores against SSQ49 scores showed that SSQ12 score was about 0.6 of a scale point lower than the SSQ49 (0-10 scale) in the re-analysis of the Akeroyd et al data. SSQ12 scores lay on a slightly steeper slope than scores on the SSQ49. The SSQ12 provides similar results to SSQ49 in a large clinical research sample. The slightly lower average SSQ12 score and the slightly steeper slope reflect the composition of this short form relative to the SSQ49.
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                Author and article information

                Contributors
                Journal
                Front Hum Neurosci
                Front Hum Neurosci
                Front. Hum. Neurosci.
                Frontiers in Human Neuroscience
                Frontiers Media S.A.
                1662-5161
                31 March 2020
                2020
                : 14
                : 110
                Affiliations
                [1] 1Department of Communication Sciences and Disorders, University of Cincinnati , Cincinnati, OH, United States
                [2] 2Division of Biostatistics and Epidemiology, Cincinnati Children’s Hospital Medical Center , Cincinnati, OH, United States
                [3] 3Department of Pediatrics, University of Cincinnati College of Medicine , Cincinnati, OH, United States
                [4] 4Department of Pediatrics and Neurology, Cincinnati Children’s Hospital Medical Center , Cincinnati, OH, United States
                Author notes

                Edited by: Christoph Braun, University of Tübingen, Germany

                Reviewed by: Richard Charles Dowell, The University of Melbourne, Australia; Bert Maat, University Medical Center Groningen, Netherlands; John Galvin, House Ear Institute, United States

                *Correspondence: Fawen Zhang, Fawen.Zhang@ 123456uc.edu

                This article was submitted to Sensory Neuroscience, a section of the journal Frontiers in Human Neuroscience

                Article
                10.3389/fnhum.2020.00110
                7136537
                32296318
                5c29536a-a333-4f8a-a714-e6f33de3a37e
                Copyright © 2020 Firestone, McGuire, Liang, Zhang, Blankenship, Xiang and Zhang.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 20 May 2019
                : 11 March 2020
                Page count
                Figures: 8, Tables: 1, Equations: 0, References: 63, Pages: 12, Words: 0
                Funding
                Funded by: University of Cincinnati 10.13039/100008102
                Categories
                Neuroscience
                Original Research

                Neurosciences
                cochlear implant,music training,frequency change detection,electroencephalogram,cortical auditory evoked potential

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