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从学龄前儿童到学龄儿童脑电连接性的发展

Development of EEG connectivity from preschool to school-age children.

作者信息

Kang Jiannan, Mao Wenqin, Wu Juanmei, Huang Xinping, Casanova Manuel F, Sokhadze Estate M, Li Xiaoli, Geng Xinling

机构信息

Child Rehabilitation Division, Ningbo Rehabilitation Hospital, Ningbo, China.

Department of Biomedical Sciences, University of South Carolina School of Medicine Greenville Campus, Prisma Health System, Greenville, SC, United States.

出版信息

Front Neurosci. 2024 Jan 11;17:1277786. doi: 10.3389/fnins.2023.1277786. eCollection 2023.

Abstract

INTRODUCTION

Many studies have collected normative developmental EEG data to better understand brain function in early life and associated changes during both aging and pathology. Higher cognitive functions of the brain do not normally stem from the workings of a single brain region that works but, rather, on the interaction between different brain regions. In this regard studying the connectivity between brain regions is of great importance towards understanding higher cognitive functions and its underlying mechanisms.

METHODS

In this study, EEG data of children ( = 253; 3-10 years old; 113 females, 140 males) from pre-school to schoolage was collected, and the weighted phase delay index and directed transfer function method was used to find the electrophysiological indicators of both functional connectivity and effective connectivity. A general linear model was built between the indicators and age, and the change trend of electrophysiological indicators analyzed for age.

RESULTS

The results showed an age trend for the functional and effective connectivity of the brain of children.

DISCUSSION

The results are of importance in understanding normative brain development and in defining those conditions that deviate from typical growth trajectories.

摘要

引言

许多研究收集了正常发育的脑电图数据,以更好地了解生命早期的脑功能以及衰老和病理过程中的相关变化。大脑的高级认知功能通常并非源于单个脑区的运作,而是源于不同脑区之间的相互作用。在这方面,研究脑区之间的连接对于理解高级认知功能及其潜在机制至关重要。

方法

在本研究中,收集了253名儿童(年龄3至10岁;女性113名,男性140名)从学龄前到学龄期的脑电图数据,并使用加权相位延迟指数和定向传递函数方法来寻找功能连接和有效连接的电生理指标。在这些指标和年龄之间建立了一般线性模型,并分析了电生理指标随年龄的变化趋势。

结果

结果显示了儿童大脑功能连接和有效连接的年龄趋势。

讨论

这些结果对于理解正常脑发育以及定义那些偏离典型生长轨迹的情况具有重要意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd0d/10808652/8de6ee34c5d8/fnins-17-1277786-g001.jpg

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