|
KMID : 1130620220180050581
|
|
Journal of Clinical Neurology
2022 Volume.18 No. 5 p.581 ~ p.593
|
|
|
Variations of Resting-State EEG-Based Functional Networks in Brain Maturation From Early Childhood to Adolescence
|
|
Chung Yoon-Gi
Jeon Yong-Hoon
Kim Ryeo-Gyeong
Cho An-Na
Kim Hun-Min
Hwang Hee
Choi Ji-Eun
Kim Ki-Joong
|
|
|
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.
|
|
|
KEYWORD
|
|
|
electroencephalography, rest state, functional connectivity, graph theory, child, brain maturation
|
|
|
FullTexts / Linksout information
|
|
|
|
|
|
Listed journal information
|
|
   
|