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Behavioral and electrophysiological investigation of speech perception deficits in silence, noise and envelope conditions in developmental dyslexia

机译:发育综合症沉默,噪声和包络条件中言语感知缺陷的行为与电生理学调查

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The present study investigated whether children with developmental dyslexia showed specific deficits in the perception of three phonetic features (voicing, place, and manner of articulation) in optimal (silence) and degraded listening conditions (envelope-coded speech versus noise), using both standard behavioral and electrophysiological measures. Performance of children with dyslexia was compared to that of younger typically developing children who were matched in terms of reading age. Results showed no significant group differences in response accuracy except for the reception of place-of-articulation in noise. However, dyslexic children responded more slowly than typically developing children across all conditions with larger deficits in noise than in envelope than in silence. At the neural level, dyslexic children exhibited reduced N1 components in silence and the reduction of N1 amplitude was more pronounced for voicing than for the other phonetic features. In the envelope condition, the N1 was localized over the right hemisphere and it was larger for typically developing readers than for dyslexic children. Finally, in stationary noise, the N1 to place of articulation was clearly delayed in children with dyslexia, which suggests a temporal de-organization in the most adverse listening conditions. The results clearly show abnormal neural processing to speech sounds in all conditions. They are discussed in the context of recent theories on perceptual noise exclusion, neural noise and temporal sampling.
机译:本研究调查了发育综合症的儿童是否在最佳(沉默)和降级的听力(静音)和降级的收听条件(信封编码的语音与噪声)中表现出特定的赤字,并使用两个标准行为和电生理措施。患有诵读儿童的表现与年轻人在阅读年龄方面匹配的孩子的比较。结果表明,除了接收噪声的铰接地位之外,响应准确性没有显着的群体差异。然而,缺血儿童比在所有条件下,在所有条件下,噪音越来越多的噪声而不是在沉默中,缺陷的速度比在沉默中更大。在神经层面,缺血儿童静音表现出降低的N1分量,并且对于表录比其他语音特征更为明显的N1振幅的减少。在信封条件下,N1局限于右半球,通常为读者比缺血儿童更大。最后,在静止噪声中,N1到闭幕的地方被患有综合症的儿童显然延迟,这表明在最不利的听力条件下是一个时间的遗传组织。结果清楚地显示了所有条件的语音声音异常的神经处理。在最近的感知噪声排除,神经噪声和时间采样的背景下讨论它们。

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