ArticleJournal of clinical neurology (Seoul, Korea)2022
Variations of Resting-State EEG-Based Functional Networks in Brain Maturation From Early Childhood to Adolescence.
Article in Journal of clinical neurology (Seoul, Korea), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Developmental variation in resting-state EEG spectral correlates of response inhibition in children and adolescents.Developmental cognitive neuroscience · 2026Article
- Disrupted Global Brain Dynamics in Adolescents With Comorbid Anxiety and Depression: Neural Mechanisms and Classification Based on EEG Microstates.Depression and anxiety · 2026Article
- Functional connectivity patterns in preschool children associated with working memory performance and digital device use.Scientific reports · 2025Article
- Disruption of functional network development in children with prenatal Zika virus exposure revealed by resting-state EEG.Scientific reports · 2025Article
- Electro-Clinical Features and Functional Connectivity Analysis in SYN1-Related Epilepsy.Annals of neurology · 2024Article
- The impact of paediatric epilepsy and co-occurring neurodevelopmental disorders on functional brain networks in wake and sleep.PloS one · 2024Article
- Integrating Structural and Functional Connectivities of Neural Networks: A Comprehensive Approach for Advancing Neuroscience.Journal of clinical neurology (Seoul, Korea) · 2023Article
- Structural brain network analysis in occipital lobe epilepsy.BMC neurology · 2023Article
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8 authors.
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Abstract
background and purposeAlterations 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.
methodsThis 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.
resultsElectrophysiological 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.
conclusionsWe 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.
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