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Preliteracy signatures of poor-reading abilities in resting-state EEG

机译:静止状态脑电图中阅读能力差的预识特征

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摘要

The hereditary character of dyslexia suggests the presence of putative underlying neural anomalies already in preliterate age. Here, we investigated whether early neurophysiological correlates of future reading difficulties—a hallmark of dyslexia—could be identified in the resting-state EEG of preliterate children. The children in this study were recruited at birth and classified on the basis of parents' performance on reading tests to be at-risk of becoming poor readers (n = 48) or not (n = 14). Eyes-open rest EEG was measured at the age of 3 years, and the at-risk children were divided into fluent readers (n = 24) and non-fluent readers (n = 24) after reading assessment at their third grade of school. We found that fluent readers and non-fluent readers differed in normalized spectral amplitude. Non-fluent readers were characterized by lower amplitude in the delta-1 frequency band (0.5–2 Hz) and higher amplitude in the alpha-1 band (6–8 Hz) in multiple scalp regions compared to control and at-risk fluent readers. Interestingly, across groups these EEG biomarkers correlated with several behavioral test scores measured in the third grade. Specifically, the performance on reading fluency, phonological and orthographic tasks and rapid automatized naming task correlated positively with delta-1 and negatively with alpha-1. Together, our results suggest that combining family-risk status, neurophysiological testing and behavioral test scores in a longitudinal setting may help uncover physiological mechanisms implicated with neurodevelopmental disorders such as the predisposition to reading disabilities.
机译:阅读障碍的遗传特征表明,在识字年龄已经存在潜在的潜在神经异常。在这里,我们调查了在识字儿童的静息状态脑电图中是否可以识别出未来阅读困难的早期神经生理相关性(阅读障碍的标志)。本研究中的孩子是在出生时招募的,并根据父母在阅读测试中的表现进行分类,以有可能成为贫困读者(n = 48)或没有(n = 14)。在3岁时测量睁眼的静息EEG,将处于危险中的儿童在其三年级的阅读评估后分为流利的读者(n = 24)和非流利的读者(n = 24)。我们发现流利的阅读器和非流利的阅读器在归一化频谱幅度方面有所不同。与对照和有风险的流利型阅读器相比,非流利型阅读器的特点是在多个头皮区域中,delta-1频段的振幅较低(0.5–2 Hz),而α-1频段的振幅较高(6–8 Hz)。 。有趣的是,在各个组中,这些EEG生物标志物与三年级中测得的几个行为测试得分相关。具体而言,阅读流利度,语音和拼字任务以及快速自动命名任务的性能与delta-1正相关,与alpha-1负相关。总之,我们的结果表明,在纵向环境中结合家庭风险状况,神经生理学测试和行为测验分数可能有助于揭示与神经发育障碍(例如阅读障碍易感性)有关的生理机制。

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