The Acoustic Change Complex in Response to Frequency Changes and Its Correlation to Cochlear Implant Speech Outcomes.
The Acoustic Change Complex in Response to Frequency Changes and Its Correlation to Cochlear Implant Speech Outcomes.
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DOI：
10.3389/fnhum.2021.757254
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发表时间：
2021
影响因子：
2.9
通讯作者：
Zhang F
中科院分区：
文献类型：
--
作者：
McGuire K;Firestone GM;Zhang N;Zhang F
人工耳蜗（CI）用户面临的最大挑战之一是患者之间植入的高度可变的听力结果。由于语音感知需要检测声学特征的各种动态变化（例如，频率、强度、定时），关键是要检查检测CI用户中刺激内声学变化的能力。本研究的主要目的是探讨听觉事件相关电位（ERP）诱发的内刺激频率变化（F-变化），一种类型的声学变化复合体（ACC），在成年CI用户，及其与语音结果的相关性。21名成年CI用户（29个单独的CI耳朵）进行了测试，心理声学频率变化检测任务，语音测试，包括辅音-核-辅音（CNC）单词识别，亚利桑那州生物医学句子识别在安静和噪音（AzBio-Q和AzBio-N），数字噪声（DIN）测试，和脑电图（EEG）记录。心理声学测试和EEG记录的刺激是三种不同基频（0.25、1和4 kHz）的纯音，在音调的中点包含F变化。结果表明，频率变化检测阈值（FCDT）、ACC N1 ′潜伏期和P2 ′潜伏期在不同频率之间无差异（p> 0.05）。0.25kHz时ACC N1 ′-P2波幅显著大于其他基频（p <0.05）。三个基频的平均N1 ′潜伏期与CNC单词识别（r =-0.40，p <0.05）和CNC音素（r =-0.40，p <0.05）呈负相关，与平均FCDT呈正相关（r = 0.46，p <0.05）。P2 ′潜伏期与DIN（r = 0.47，p <0.05）和FCDT（r = 0.47，p <0.05）呈正相关。N1 ′-P2 ′波幅与语音结果之间无统计学意义的相关性（所有ps> 0.05）。这项研究的结果表明，在CI语音结果与CNC，AzBio-Q，DIN测试评估的变异性可以部分解释（约16 - 21%）的F-变化由ACC反映的皮层感觉编码的变异性。
One of the biggest challenges that face cochlear implant (CI) users is the highly variable hearing outcomes of implantation across patients. Since speech perception requires the detection of various dynamic changes in acoustic features (e.g., frequency, intensity, timing) in speech sounds, it is critical to examine the ability to detect the within-stimulus acoustic changes in CI users. The primary objective of this study was to examine the auditory event-related potential (ERP) evoked by the within-stimulus frequency changes (F-changes), one type of the acoustic change complex (ACC), in adult CI users, and its correlation to speech outcomes. Twenty-one adult CI users (29 individual CI ears) were tested with psychoacoustic frequency change detection tasks, speech tests including the Consonant-Nucleus-Consonant (CNC) word recognition, Arizona Biomedical Sentence Recognition in quiet and noise (AzBio-Q and AzBio-N), and the Digit-in-Noise (DIN) tests, and electroencephalographic (EEG) recordings. The stimuli for the psychoacoustic tests and EEG recordings were pure tones at three different base frequencies (0.25, 1, and 4 kHz) that contained a F-change at the midpoint of the tone. Results showed that the frequency change detection threshold (FCDT), ACC N1′ latency, and P2′ latency did not differ across frequencies (p > 0.05). ACC N1′-P2 amplitude was significantly larger for 0.25 kHz than for other base frequencies (p < 0.05). The mean N1′ latency across three base frequencies was negatively correlated with CNC word recognition (r = −0.40, p < 0.05) and CNC phoneme (r = −0.40, p < 0.05), and positively correlated with mean FCDT (r = 0.46, p < 0.05). The P2′ latency was positively correlated with DIN (r = 0.47, p < 0.05) and mean FCDT (r = 0.47, p < 0.05). There was no statistically significant correlation between N1′-P2′ amplitude and speech outcomes (all ps > 0.05). Results of this study indicated that variability in CI speech outcomes assessed with the CNC, AzBio-Q, and DIN tests can be partially explained (approximately 16–21%) by the variability of cortical sensory encoding of F-changes reflected by the ACC.
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