Topography of Slow Sigma Power during Sleep is Associated with Processing Speed in Preschool Children

Topography of Slow Sigma Power during Sleep is Associated with Processing Speed in Preschool Children
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DOI:
10.3390/brainsci5040494
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发表时间:
2015-12-01
期刊:
影响因子:
3.3
通讯作者:
LeBourgeois, Monique K.
LeBourgeois, Monique K.
中科院分区:
医学4区
文献类型:
--
作者:
Doucette, Margaret R.;Kurth, Salome;LeBourgeois, Monique K.

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认知发展受处理速度的成熟变化的影响,这一结构反映了执行认知操作的速度。虽然认知能力和处理速度与睡眠脑电图(EEG)中的纺锤波和西格玛功率有关,但对儿童早期的这种联系知之甚少,这是一个主要的神经元完善的时期。我们计算了健康学龄前儿童(n = 10,4.3 +/- 1.0岁)的横断面样本中整夜高密度脑电图(EEG)的慢(10-13 Hz)和快(13.25-17 Hz)sigma功率的EEG功率。处理速度被评估为简单反应时间。平均而言,反应时间为1409 +/- 251 ms;慢速西格玛功率为4.0 +/- 1.5 V-2;快速西格玛功率为0.9 +/- 0.2 V-2。慢速和快速西格玛功率在中心区域占主导地位。在大的顶叶电极簇中,只有慢的西格玛功率与处理速度相关(p < 0.05,r范围从-0.6到-0.8),使得更大的功率预测更快的反应时间。我们的研究结果表明,西格玛功率和处理速度之间的区域相关性,是特定于儿童早期,并提供新的见解的EEG的神经生物学特征,可能是发展认知能力的基础。
Cognitive development is influenced by maturational changes in processing speed, a construct reflecting the rapidity of executing cognitive operations. Although cognitive ability and processing speed are linked to spindles and sigma power in the sleep electroencephalogram (EEG), little is known about such associations in early childhood, a time of major neuronal refinement. We calculated EEG power for slow (10-13 Hz) and fast (13.25-17 Hz) sigma power from all-night high-density electroencephalography (EEG) in a cross-sectional sample of healthy preschool children (n = 10, 4.3 +/- 1.0 years). Processing speed was assessed as simple reaction time. On average, reaction time was 1409 +/- 251 ms; slow sigma power was 4.0 +/- 1.5 V-2; and fast sigma power was 0.9 +/- 0.2 V-2. Both slow and fast sigma power predominated over central areas. Only slow sigma power was correlated with processing speed in a large parietal electrode cluster (p < 0.05, r ranging from -0.6 to -0.8), such that greater power predicted faster reaction time. Our findings indicate regional correlates between sigma power and processing speed that are specific to early childhood and provide novel insights into the neurobiological features of the EEG that may underlie developing cognitive abilities.