Neurosciences Department, Montreal University, Montreal, Quebec, Canada.
Research Center, Sainte-Justine Hospital, Montreal University, Montreal, Quebec, Canada.
Eur J Neurosci. 2021 Nov;54(9):7193-7213. doi: 10.1111/ejn.15475. Epub 2021 Oct 13.
Repetition effects and change detection response have been proposed as neuro-electrophysiological correlates of fundamental learning processes. As such, they could be a good predictor of brain maturation and cognitive development. We recorded high density EEG in 71 healthy infants (32 females) aged between 3 and 9 months, while they listened to vowel sequences (standard /a/a/a/i/ [80%] and deviant /a/a/a/a/ [20%]). Adaptive skills, a surrogate of cognitive development, were measured via the parent form of the Adaptive Behavior Assessment System Second Edition (ABAS-II). Cortical auditory-evoked potentials (CAEPs) analyses, time-frequency analyses and a statistical approach using linear mixed models (LMMs) and linear regression models were performed. Age and adaptive skills were tested as predictors. Age modulation of repetition effects and change detection response was observed in theta (3-5 Hz), alpha (5-10 Hz) and high gamma (80-90 Hz) oscillations and in all CAEPs. Moreover, adaptive skills modulation of repetition effects was evidenced in theta (3-5 Hz), high gamma oscillations (80-90 Hz), N250/P350 peak-to-peak amplitude and P350 latency. Finally, adaptive skills modulation of change detection response was observed in the N250/P350 peak-to-peak amplitude. Our results confirm that repetition effects and change detection response evolve with age. Moreover, our results suggest that repetition effects and change detection response vary according to adaptive skills displayed by infants during the first year of life, demonstrating their predictive value for neurodevelopment.
重复效应和变化检测响应被提出作为基本学习过程的神经电生理相关物。因此，它们可以很好地预测大脑成熟和认知发展。我们记录了 71 名健康婴儿（32 名女性）的高密度 EEG，年龄在 3 至 9 个月之间，同时他们听了元音序列（标准 /a/a/a/i/ [80%] 和偏差 /a/a/a/a/ [20%]）。认知发展的替代指标是通过适应性行为评估系统第二版（ABAS-II）的家长形式来测量的。进行了皮质听觉诱发电位（CAEPs）分析、时频分析以及使用线性混合模型（LMMs）和线性回归模型的统计方法。年龄和适应能力被测试为预测因子。在 theta（3-5 Hz）、alpha（5-10 Hz）和高 gamma（80-90 Hz）振荡以及所有 CAEPs 中观察到重复效应和变化检测响应的年龄调制。此外，在 theta（3-5 Hz）、高 gamma 振荡（80-90 Hz）、N250/P350 峰峰值幅度和 P350 潜伏期中，证明了适应能力对重复效应的调制。最后，在 N250/P350 峰峰值幅度中观察到变化检测响应的适应能力调制。我们的结果证实了重复效应和变化检测响应随年龄而变化。此外，我们的结果表明，重复效应和变化检测响应根据婴儿在生命的第一年中表现出的适应能力而变化，证明了它们对神经发育的预测价值。
