Developmental changes in spontaneous electrocortical activity and network organization from early to late childhood
Open accessAbstract
We investigated the development of spontaneous (resting state) cerebral electric fields and their network organization from early to late childhood in a large community sample of children. Critically, we examined electrocortical maturation across one-year windows rather than creating aggregate averages that can miss subtle maturational trends. We implemented several novel methodological approaches including a more fine grained examination of spectral features across multiple electrodes, the use of phase-lagged functional connectivity to control for the confounding effects of volume conduction and applying topological network analyses to weighted cortical adjacency matrices. Overall, there were major decreases in absolute EEG spectral density (particularly in the slow wave range) across cortical lobes as a function of age. Moreover, the peak of the alpha frequency increased with chronological age and there was a redistribution of relative spectral density toward the higher frequency ranges, consistent with much of the previous literature. There were age differences in long range functional brain connectivity, particularly in the alpha frequency band, culminating in the most dense and spatially variable networks in the oldest children. We discovered age-related reductions in characteristic path lengths, modularity and homogeneity of alpha-band cortical networks from early to late childhood. In summary, there is evidence of large scale reorganization in endogenous brain electric fields from early to late childhood, suggesting reduced signal amplitudes in the presence of more functionally integrated and band limited coordination of neuronal activity across the cerebral cortex.
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Spectral power decreases continually from 5-30 years of age across most frequency bands, particularly in the slow-wave (0.5-7Hz).
“One of the classical and well-reproduced findings is that spectral power (i.e. amplitude of activity within different temporal frequency bands) decreases continually from 5–30 years of age across most frequency bands, but particularly in the slow-wave (0.5–7Hz) (Miskovic et al., 2015; Rodriguez-Martinez et al., 2015; Smit et al., 2012; Whitford et al., 2007).”
From Development of large-scale functional networks from birth to adulthood: A guide to the neuroimaging literature (2017) · cites this paper as Miskovic et al., 2015
Network structure becomes increasingly non-random across this timespan.
“There is also consensus that network structure becomes increasingly non-random across this timespan (Boersma et al., 2011; Miskovic et al., 2015; Smit et al., 2012).”
From Development of large-scale functional networks from birth to adulthood: A guide to the neuroimaging literature (2017) · cites this paper as Miskovic et al., 2015
Two reports found path length increases with age, while more recent work demonstrates age-related reductions.
“Somewhat unexpectedly, two reports found path length to also increase with age (Boersma et al., 2011; Smit et al., 2012), although more recent work demonstrates age-related reductions (Miskovic et al., 2015).”
From Development of large-scale functional networks from birth to adulthood: A guide to the neuroimaging literature (2017) · cites this paper as Miskovic et al., 2015
There is a progressive shift in peak amplitude towards higher frequency activity.
“There is also a progressive shift in peak amplitude towards higher frequency activity (Miskovic et al., 2015; Rodriguez-Martinez et al., 2015; Smit et al., 2012; Whitford et al., 2007).”
From Development of large-scale functional networks from birth to adulthood: A guide to the neuroimaging literature (2017) · cites this paper as Miskovic et al., 2015
Relative theta power reflects a qualitatively different neural process, anatomically and functionally distinct from event-related mediofrontal theta.
“relative theta power reflects a qualitatively different neural process, which is anatomically and functionally distinct from event-related mediofrontal theta (Finnigan and Robertson, 2011; Miskovic et al., 2015; Uhlhaas et al., 2010; Whitford et al., 2007)”
From Adolescent cognitive control and mediofrontal theta oscillations are disrupted by neglect: Associations with transdiagnostic risk for psychopathology in a randomized controlled trial (2020) · cites this paper as Miskovic et al., 2015
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References 105 · Cited by 175
Research works printed but not linked: 1
- Sporns O Networks of the brain 2011 The MIT Press Cambridge, MA
- Authors
- Miskovic, V., Ma, X., Chou, C.-A., Fan, M., Owens, M., Sayama, H., & Gibb, B. E.
- Affiliations
- Binghamton University (US)
- Corresponding author
- Miskovic, Vladimir
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2015-09
- Volume
- 118
- Pages
- 237-247
- ISSN
- 1053-8119 (ISSN-L)
- PMC
- PMC4554821
- OpenAlex
- W625264944
- Cited by
- 175
- References
- 105
- Citations by year
- 2026: 12 · 2025: 20 · 2024: 19 · 2023: 24 · 2022: 19 · 2021: 21 · 2020: 15 · 2019: 18 · 2018: 12 · 2017: 10 · 2016: 5
- FWCI
- 5.40
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Digital Commons - University of South Florida (University of South Florida) (submittedVersion, cc-by-nc-nd)
- Funders
- National Institute of Mental Health (MH098060, R01MH098060)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Keywords
- resting-state EEG, child neurodevelopment, alpha band, brain functional connectivity, volume conduction, path length, network modularity, network homogeneity, cortical maturation
- MeSH terms
- Alpha Rhythm, Cerebral Cortex, Child, Child Development, Cross-Sectional Studies, Electroencephalography, Female, Humans, Male, Nerve Net, Neural Pathways, Brain Waves
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