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Updated: Mar 17, 2026
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Infant Auditory Processing and Event-related Brain Oscillations
Published on: July 1, 2015
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语音 听觉脑干反应 预测语言延迟
Patrick C M Wong1,2, Shaoqi Pan1,3, Ching Man Lai1
1Brain and Mind Institute, The Chinese University of Hong Kong, Hong Kong SAR, China.
Pediatrics
|March 15, 2026
概括
在婴儿中使用脑电图 (EEG) 的神经语音编码可以预测语言延迟. 这种方法为早期干预提供了一个新的查工具,改善了语言发展结果.
科学领域:
- 神经科学是一个神经科学.
- 发展心理学 发展心理学
- 语音语言病理学 语言病理学
背景情况:
- 过早出生是语言延迟的已知预测因素,但对于个体儿童的评估缺乏准确性.
- 早期干预 (EI) 对语言延迟非常有效,但需要准确,儿童级预测.
- 目前的预测方法不足以在学龄前及时处方EI.
研究的目的:
- 利用婴儿神经数据开发和验证语言延迟的预测模型.
- 预测语言延迟,以实现先发制人的早期干预.
- 利用脑电图 (EEG) 神经语音编码来早期识别有风险的儿童.
主要方法:
- 记录了423名婴儿 (1-24个月) 的EEG神经语音编码 (语音听觉脑干反应 (ABR)).
- 使用贝利婴幼儿发育 (7-32个月) 尺度收集语言结果.
- 采用随机森林模型来比较带有和没有EEG测量的预测准确度.
主要成果:
- 纳入EEG测量的模型显著超过了非神经临床预测指标.
- 仅使用EEG的模型实现了>90%的灵敏度和AUC,在外部验证后持续>80%的灵敏度和>90%的AUC.
- 非神经模型 (妊娠年龄,出生体重) 预测的结果超出了机会,但不如EEG模型那么准确.
结论:
- 语音ABR显示承诺作为一种新的查工具,用于识别语言延迟风险的婴儿.
- 通过语音ABR进行早期识别,可以及时实现EI,从而有可能增强语言的发展.
- 与现有的方法相比,这种基于神经系统的方法为儿童水平的预测提供了更精确的方法.
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