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学龄儿童的认知功能水平可通过静息脑电图定向相位滞后指数来预测。

The level of cognitive functioning in school-aged children is predicted by resting EEG Directed Phase Lag Index.

作者信息

Charlebois-Poirier Audrey-Rose, Davoudi Saeideh, Lalancette Ève, Knoth Inga Sophia, Lippé Sarah

机构信息

Research Center of the Centre Hospitalier Universitaire Sainte-Justine, Montreal, QC, Canada.

Department of Psychology, University of Montréal, Montreal, QC, Canada.

出版信息

Sci Rep. 2025 Jan 9;15(1):1531. doi: 10.1038/s41598-025-85635-6.

DOI:10.1038/s41598-025-85635-6
PMID:39789112
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11718128/
Abstract

Quantifying cognitive potential relies on psychometric measures that do not directly reflect cortical activity. While the relationship between cognitive ability and resting state EEG signal dynamics has been extensively studied in children with below-average cognitive performances, there remains a paucity of research focusing on individuals with normal to above-average cognitive functioning. This study aimed to elucidate the resting EEG dynamics in children aged four to 12 years across normal to above-average cognitive potential. Our findings indicate that signal complexity, as measured by Multiscale Entropy (MSE), was not significantly predictive of the level of cognitive functioning. However, utilizing Directed Phase Lag Index (DPLI) as an effective connectivity measure, we observed consistent patterns of information flow between anterior and posterior regions. Fronto-parietal as well as local connectivity patterns were seen across most of the cognitive functions. Moreover, specific connectivity patterns were obtained for each intellectual quotient index (namely verbal comprehension, visuospatial, fluid reasoning, and processing speed indexes as well as full-scale intellectual quotient). These results underscore the presence of long-range connections and support fronto-parietal theories of cognitive abilities within the resting state brain dynamics of children.

摘要

量化认知潜能依赖于心理测量方法,而这些方法并不能直接反映皮层活动。虽然认知能力与静息态脑电图信号动态之间的关系在认知表现低于平均水平的儿童中已得到广泛研究,但针对认知功能正常至高于平均水平的个体的研究仍然匮乏。本研究旨在阐明4至12岁认知潜能正常至高于平均水平的儿童的静息脑电图动态。我们的研究结果表明,用多尺度熵(MSE)测量的信号复杂性并不能显著预测认知功能水平。然而,利用定向相位滞后指数(DPLI)作为一种有效的连接性测量方法,我们观察到前后区域之间一致的信息流模式。在大多数认知功能中都发现了额顶叶以及局部连接模式。此外,针对每个智商指数(即言语理解、视觉空间、流体推理、处理速度指数以及全量表智商)都获得了特定的连接模式。这些结果强调了长程连接的存在,并支持了儿童静息态脑动力学中认知能力的额顶叶理论。

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