Development of EEG connectivity from preschool to school-age children

IntroductionMany 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, r...

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Main Authors: Jiannan Kang, Wenqin Mao, Juanmei Wu, Xinping Huang, Manuel F. Casanova, Estate M. Sokhadze, Xiaoli Li, Xinling Geng
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-01-01
Series:Frontiers in Neuroscience
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2023.1277786/full
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author Jiannan Kang
Wenqin Mao
Juanmei Wu
Xinping Huang
Manuel F. Casanova
Estate M. Sokhadze
Estate M. Sokhadze
Xiaoli Li
Xinling Geng
author_facet Jiannan Kang
Wenqin Mao
Juanmei Wu
Xinping Huang
Manuel F. Casanova
Estate M. Sokhadze
Estate M. Sokhadze
Xiaoli Li
Xinling Geng
author_sort Jiannan Kang
collection DOAJ
description IntroductionMany 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.MethodsIn this study, EEG data of children (N = 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.ResultsThe results showed an age trend for the functional and effective connectivity of the brain of children.DiscussionThe results are of importance in understanding normative brain development and in defining those conditions that deviate from typical growth trajectories.
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spelling doaj.art-65d44a3fcca74b69b5e4313d7c0e91912024-01-11T04:48:46ZengFrontiers Media S.A.Frontiers in Neuroscience1662-453X2024-01-011710.3389/fnins.2023.12777861277786Development of EEG connectivity from preschool to school-age childrenJiannan Kang0Wenqin Mao1Juanmei Wu2Xinping Huang3Manuel F. Casanova4Estate M. Sokhadze5Estate M. Sokhadze6Xiaoli Li7Xinling Geng8Child Rehabilitation Division, Ningbo Rehabilitation Hospital, Ningbo, ChinaChild Rehabilitation Division, Ningbo Rehabilitation Hospital, Ningbo, ChinaChild Rehabilitation Division, Ningbo Rehabilitation Hospital, Ningbo, ChinaChild Rehabilitation Division, Ningbo Rehabilitation Hospital, Ningbo, ChinaDepartment of Biomedical Sciences, University of South Carolina School of Medicine Greenville Campus, Prisma Health System, Greenville, SC, United StatesDepartment of Biomedical Sciences, University of South Carolina School of Medicine Greenville Campus, Prisma Health System, Greenville, SC, United StatesDuke University, Durham, NC, United StatesState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, ChinaSchool of Biomedical Engineering, Capital Medical University, Beijing, ChinaIntroductionMany 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.MethodsIn this study, EEG data of children (N = 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.ResultsThe results showed an age trend for the functional and effective connectivity of the brain of children.DiscussionThe results are of importance in understanding normative brain development and in defining those conditions that deviate from typical growth trajectories.https://www.frontiersin.org/articles/10.3389/fnins.2023.1277786/fullEEGfunctional connectivityeffective connectivitychildrenbrain development
spellingShingle Jiannan Kang
Wenqin Mao
Juanmei Wu
Xinping Huang
Manuel F. Casanova
Estate M. Sokhadze
Estate M. Sokhadze
Xiaoli Li
Xinling Geng
Development of EEG connectivity from preschool to school-age children
Frontiers in Neuroscience
EEG
functional connectivity
effective connectivity
children
brain development
title Development of EEG connectivity from preschool to school-age children
title_full Development of EEG connectivity from preschool to school-age children
title_fullStr Development of EEG connectivity from preschool to school-age children
title_full_unstemmed Development of EEG connectivity from preschool to school-age children
title_short Development of EEG connectivity from preschool to school-age children
title_sort development of eeg connectivity from preschool to school age children
topic EEG
functional connectivity
effective connectivity
children
brain development
url https://www.frontiersin.org/articles/10.3389/fnins.2023.1277786/full
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