Mismatched response predicts behavioral speech discrimination outcomes in infants with hearing loss and normal hearing.
Mismatched response predicts behavioral speech discrimination outcomes in infants with hearing loss and normal hearing.
复制标题
不匹配反应预测听力损失和听力正常婴儿的行为言语辨别结果。
DOI：
10.1111/infa.12386
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发表时间：
2021-03
期刊：
影响因子：
--
通讯作者：
Gilley PM
中科院分区：
文献类型：
--
作者：
Uhler K;Hunter S;Gilley PM
尽管采取了有针对性的干预措施，听力损失（HL）儿童的语言能力仍然比听力正常（NH）儿童差；这些差异的原因尚不清楚。最近的研究表明，在 NH 儿童中，言语歧视与语言结果有关，但我们对两岁以下 HL 儿童的情况知之甚少。我们利用元音对比 /a-i/ 和辅音元音对比 /ba-da/ 来检查 47 名 NH 婴儿和 40 名 HL 婴儿的言语辨别能力。在平均年龄 = 3 个月时，使用 11 个头皮电极记录的脑电图来计算对比的时频不匹配反应 (TF-MMRSE)；在平均年龄 = 9 个月时，使用转头任务评估行为歧视。当给定任意 TF-MMRSE 作为输入时，使用机器学习 (ML) 分类器来预测行为歧视，精确分类的准确率达到 73%，在一类距离内的分类准确率达到 92%。无论听力状态或语音对比度如何，线性拟合都显示出稳健的关系。 Delta (1–3.5 Hz)、theta (3.5–8 Hz) 和 alpha (8–12 Hz) 频段的 TF-MMRSE 响应解释了行为任务表现的最大差异。我们的研究结果证明了使用 TF-MMRSE 预测后期行为言语歧视的可行性。
Children with hearing loss (HL) remain at risk for poorer language abilities than normal hearing (NH) children despite targeted interventions; reasons for these differences remain unclear. In NH children, recent research suggests that speech discrimination is related to language outcomes, yet we know little about it in children with HL under the age of two years. We utilized a vowel contrast, /a-i/, and a consonant-vowel contrast, /ba-da/, to examine speech discrimination in 47 NH infants and 40 infants with HL. At Mean age = 3 months, EEG recorded from 11 scalp electrodes was used to compute the time-frequency mismatched response (TF-MMRSE) to the contrasts; at Mean age = 9 months, behavioral discrimination was assessed using a head turn task. A machine learning (ML) classifier was used to predict behavioral discrimination when given an arbitrary TF-MMRSE as input, achieving accuracies of 73% for exact classification and 92% for classification within a distance of one class. Linear fits revealed a robust relationship regardless of hearing status or speech contrast. TF-MMRSE responses in the delta (1–3.5 Hz), theta (3.5–8 Hz), and alpha (8–12 Hz) bands explained the most variance in behavioral task performance. Our findings demonstrate the feasibility of using TF-MMRSE to predict later behavioral speech discrimination.
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