Purpose: Enhancement of musical perception has a positive impact on the emotional stability, quality of life, and aural rehabilitation in individuals with hearing loss. In Korea, however, there are a few test batteries available for properly assessing their abilities to perceive music. The purpose of this study was to develop a evaluation material for the music perception ability, Assessment of Music Perception (AMP) considering the Korean culture and emotion.Methods: A total of 15 normal hearing adults (33.1 ± 11.4 years) were recruited. They performed the AMP which includes eight sub-tests: pitch, melody, rhythm, timbre, and harmony perception test, emotional reaction test, Music listening Attitudes and Satisfaction Questionnaire (MASQ), and Mismatch negativity (MMN).Results: The average percentage of correct answer was 94.0% ± 6.1% in pitch perception test, 94.0% ± 7.1% in melody perception test, 99.3% ± 1.8% in rhythm perception test, 78.9% ± 41.8% in timbre perception test, 96.7% ± 10.4% in emotional reaction test, 85.7% ± 14.1% in harmony perception test. The area of the negative waveform for MMN was 275.27 ± 225.65 μV·ms with the intensity of 70 dBnHL.Conclusion: Considering high scores of a instrument, a developed AMP could be applied for evaluating the music perception ability. However, a little bit of correction for each factor of materials is recommended for comprehensive AMP material. In the future, the music perception ability of the hearing impaired should be evaluated utilizing AMP.
Objectives: Prediction of cochlear implantation (CI) outcome is often difficult because outcomes vary among patients. Though the brain plasticity across modalities during deafness is associated with individual CI outcomes, longitudinal observations in multiple patients are scarce. Therefore, we sought a prediction system based on cross-modal plasticity in a longitudinal study with multiple patients. METHODS: Classification of CI outcomes between excellent or poor was tested based on the features of brain cross-modal plasticity, measured using event-related responses and their corresponding electromagnetic sources. A machine learning estimation model was applied to 13 datasets from 3 patients based on linear supervised training. Classification efficiency was evaluated comparing prediction accuracy, sensitivity/specificity, total mis-classification cost, and training time among feature set conditions. Results: Combined feature sets with the sensor and source levels dramatically improved classification accuracy between excellent and poor outcomes. Specifically, the tactile feature set best explained CI outcome (accuracy, 98.83 ± 2.57%; sensitivity, 98.00 ± 0.01%; specificity, 98.15 ± 4.26%; total misclassification cost, 0.17 ± 0.38; training time, 0.51 ± 0.09 sec), followed by the visual feature (accuracy, 93.50 ± 4.89%; sensitivity, 89.17 ± 8.16%; specificity, 98.00 ± 0.01%; total misclassification cost, 0.65 ± 0.49; training time, 0.38 ± 0.50 sec). Conclusion: Individual tactile and visual processing in the brain best classified the current status when classified by combined sensor–source level features. Our results suggest that cross-modal brain plasticity due to deafness may provide a basis for classifying the status. We expect this novel method to contribute to the evaluation and prediction of CI outcomes.
Purpose: The ability of music perception should be improved for the hearing impaired by music training. The music training should be systematically conducted from each musical element to overall music listening based on analytic and synthetic approaches. This study aimed to develop the music rehabilitation program (MRP) to improve the music perception of the hearing-impaired.Methods: Fifteen cochlear implant (CI) users (34.5 ± 11.6 years) participated. The MRP consisted the musical elements such as pitch, melody, rhythm and timbre, and musical emotional training considering Korean culture. The MRP was conducted twice per week through self-directed home training for 2 months. The assessment of music perception (AMP) was tested before and after performing the MRP.Results: The results of AMP subtests were significantly different between pre- and post-MRP with 61.1% and 83.8% for the pitch perception test, 72.8% and 87.8% for the timbre perception test with Korean musical instruments, 48.0% and 59.3% with Western musical instruments, and 55.9% and 71.1% in the harmony perception test. However, there was no significant differences in the melody, rhythm and emotional reaction tests. According to the MRP effectiveness questionnaire, 80% of participants have changed their interests after training for listening to music.Conclusion: Although there were differences among elements of music training, the overall music perception ability was improved after conducting MRP (p < 0.001). In conclusion, providing a systematic music training program such as MRP could expand the range of music experience and improve the ability for music listening and for CI users.
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