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Frontoparietal network and neuropsychological measures in typically developing children
Neuropsychologia ( IF 2.6 ) Pub Date : 2021-06-10 , DOI: 10.1016/j.neuropsychologia.2021.107914
Isabel Solis 1 , Jacki Janowich 1 , Felicha Candelaria-Cook 2 , William Collishaw 2 , Yu-Ping Wang 3 , Tony W Wilson 4 , Vince D Calhoun 5 , Kristina R T Ciesielski 6 , Julia M Stephen 2
Affiliation  

Resting-state activity has been used to gain a broader understanding of typical and aberrant developmental changes. However, the developmental trajectory of resting-state activity in relation to cognitive performance has not been studied in detail. The present study assessed spectral characteristics of theta (5–8 Hz) and alpha (9–13 Hz) frequency bands during resting-state in a priori selected regions of the frontoparietal network (FPN). We also examined the relationship between resting-state activity and cognitive performance in typically developing children. We hypothesized that older children and children with high attentional scores would have higher parietal alpha activity and frontal theta activity while at rest compared to young children and those with lower attentional scores. MEG data were collected in 65 typically developing children, ages 9–14 years, as part of the Developmental Chronnecto-Genomics study. Resting-state data were collected during eyes open and eyes closed for 5 min. Participants completed the NIH Toolbox Flanker Inhibitory Control (FICA) and Attention Test and Dimensional Change Card Sort Test (DCCS) to assess top-down attentional control. Spectral power density was used to characterize the FPN. We found during eyes open and eyes closed, all participants had higher theta and alpha power in parietal regions relative to frontal regions. The group with high attentional scores had higher alpha power during resting-state eyes closed compared to those with low attentional scores. However, there were no significant differences between age groups, suggesting changes in the maturation of neural oscillations in theta and alpha are not evident among children in the 9-14-year age range.



中文翻译:

典型发育儿童的额顶叶网络和神经心理测量

静息状态活动已被用于获得对典型和异常发育变化的更广泛理解。然而,尚未详细研究与认知表现相关的静息状态活动的发展轨迹。本研究先验地评估了静息状态下 theta (5–8 Hz) 和 alpha (9–13 Hz) 频带的光谱特性额顶叶网络 (FPN) 的选定区域。我们还研究了正常发育儿童的静息状态活动与认知表现之间的关系。我们假设,与幼儿和注意力得分较低的儿童相比,年龄较大的儿童和注意力得分较高的儿童在休息时的顶叶 alpha 活动和额叶 theta 活动会更高。作为 Developmental Chronnecto-Genomics 研究的一部分,从 65 名 9-14 岁的正常发育儿童中收集了 MEG 数据。在睁眼和闭眼 5 分钟期间收集静息状态数据。参与者完成了 NIH 工具箱侧卫抑制控制 (FICA) 和注意力测试以及维度变化卡片分类测试 (DCCS),以评估自上而下的注意力控制。光谱功率密度用于表征 FPN。我们发现在睁眼和闭眼期间,所有参与者的顶叶区域相对于额叶区域都有更高的 theta 和 alpha 功率。与注意力得分低的组相比,注意力得分高的组在闭眼静息状态下具有更高的 alpha 功率。然而,年龄组之间没有显着差异,这表明在 9-14 岁年龄段的儿童中,theta 和 alpha 神经振荡的成熟度变化并不明显。

更新日期:2021-06-23
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