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
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
复制标题
DOI：
10.3389/fnhum.2020.00110
复制
发表时间：
2020-03-31
影响因子：
2.9
通讯作者：
Zhang, Fawen
中科院分区：
文献类型：
--
作者：
Firestone, Gabrielle M.;McGuire, Kelli;Zhang, Fawen
前言大多数人工耳蜗术患者的听力任务严重依赖于对频率变化的感知(如噪声中的言语感知、音乐旋律感知等)。之前的一些使用行为或主观评估的研究表明，短期的音乐培训可以有利于CI用户对音乐和语音的感知。脑电(EEG)记录可能揭示CI使用者音乐训练受益的神经基础。目的采用主观评估、行为测试、脑电测试等综合测试方法，探讨短期音乐训练对脑梗塞听力的影响。设计12名成年CI用户被招募参加一项以家庭为基础的音乐培训计划，该计划侧重于专心聆听侧重于旋律的音乐流派和材料。参与者使用下载到个人电子设备上的音乐流媒体程序(即Pandora)进行培训。参与者通过直接音频线或蓝牙流媒体专心收听音乐。训练计划为40min/次/天，5天/周，为期4周或8周。训练前和训练后的测试包括：听力阈值、语音、空间和听力质量量表(SSQ12)问卷、频率变化检测阈值的心理声学测试(FCDT)、语音识别测试(Cnc单词、AzBio句子和QuickSIN)，以及对包含不同频率变化幅度的音调的脑电反应。结果除1名学员外，其余学员均完成了为期4周或8周的培训，辍学率为8.33%。除了两名没有参加脑电测试的参与者外，有11名参与者进行了所有测试。结果显示，训练后FCDTS以及在计算机控制和QuickSIN上的表现有显著提高(p<；0.05)，但SSQ分数没有显著提高(p>；0.05)。脑电测试的结果显示，9名参与者中有7名在训练后皮质听觉诱发电位(CAEP)较大，这表明大脑对刺激开始和刺激内频率变化的处理都更好。结论这些初步数据表明，广泛、集中地听音乐可以改善CI用户的频率感知和言语感知。进一步的研究包括更大的样本量和控制组，以确定短期音乐培训在CI用户中的有效性。
IntroductionMost 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. ObjectiveTo 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. DesignTwelve 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. ResultsAll 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. ConclusionThese 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.