Variations of Resting-State EEG-Based Functional Networks in Brain Maturation From Early Childhood to Adolescence.

Yoon Gi Chung, Yonghoon Jeon, Ryeo Gyeong Kim, Anna Cho, Hunmin Kim, Hee Hwang, Jieun Choi, Ki Joong Kim
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引用次数: 3

Abstract

Background and purpose: Alterations in human brain functional networks with maturation have been explored extensively in numerous electroencephalography (EEG) and functional magnetic resonance imaging studies. It is known that the age-related changes in the functional networks occurring prior to adulthood deviate from ordinary trajectories of network-based brain maturation across the adult lifespan.

Methods: This study investigated the longitudinal evolution of resting-state EEG-based functional networks from early childhood to adolescence among 212 pediatric patients (age 12.2±3.5 years, range 4.4-17.9) in 6 frequency bands using 8 types of functional connectivity measures in the amplitude, frequency, and phase domains.

Results: Electrophysiological aspects of network-based pediatric brain maturation were characterized by increases in both functional segregation and integration up to middle adolescence. EEG oscillations in the upper alpha band reflected the age-related increases in mean node strengths and mean clustering coefficients and a decrease in the characteristic path lengths better than did those in the other frequency bands, especially for the phase-domain functional connectivity. The frequency-band-specific age-related changes in the global network metrics were influenced more by volume-conduction effects than by the domain specificity of the functional connectivity measures.

Conclusions: We believe that this is the first study to reveal EEG-based functional network properties during preadult brain maturation based on various functional connectivity measures. The findings potentially have clinical applications in the diagnosis and treatment of age-related brain disorders.

Abstract Image

Abstract Image

Abstract Image

静息状态下基于脑电图的功能网络在儿童早期到青春期大脑成熟过程中的变化。
背景与目的:大量脑电图和功能磁共振成像研究广泛探讨了成熟过程中人脑功能网络的变化。众所周知,在成年之前发生的功能网络的年龄相关变化偏离了基于网络的大脑成熟的正常轨迹。方法:研究了212例儿童(年龄12.2±3.5岁,范围4.4-17.9岁)静息状态脑电图功能网络在6个频段的纵向演变,采用8种功能连接测量振幅、频率和相位域。结果:基于网络的儿童脑成熟的电生理方面的特征是功能分离和整合的增加,直到青春期中期。与其他频带相比,上α频带的脑电图振荡更能反映出平均节点强度和平均聚类系数随年龄的增加以及特征路径长度的减少,尤其是相域功能连接。全球网络指标中频段特异性年龄相关的变化更多地受到体积传导效应的影响,而不是功能连接测量的域特异性。结论:我们认为这是第一个基于各种功能连接测量揭示成人前大脑成熟过程中基于脑电图的功能网络特性的研究。这一发现可能在诊断和治疗与年龄有关的脑部疾病方面具有临床应用价值。
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