Cited by 143Functional Brain Connectivity StudiesNeural dynamics and brain functionAdvanced Neuroimaging Techniques and Applications

The brain matures with stronger functional connectivity and decreased randomness of its network

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Smit, Dirk J. A., Boersma, Maria, Schnack, Hugo G., Micheloyannis, Sifis, Boomsma, Dorret I., Hulshoff Pol, Hilleke E., Stam, Cornelis J., de Geus, Eco J. C.·2012·PLoS ONE

Abstract

We investigated the development of the brain's functional connectivity throughout the life span (ages 5 through 71 years) by measuring EEG activity in a large population-based sample. Connectivity was established with Synchronization Likelihood. Relative randomness of the connectivity patterns was established with Watts and Strogatz' (1998) graph parameters C (local clustering) and L (global path length) for alpha (~10 Hz), beta (~20 Hz), and theta (~4 Hz) oscillation networks. From childhood to adolescence large increases in connectivity in alpha, theta and beta frequency bands were found that continued at a slower pace into adulthood (peaking at ~50 yrs). Connectivity changes were accompanied by increases in L and C reflecting decreases in network randomness or increased order (peak levels reached at ~18 yrs). Older age (55+) was associated with weakened connectivity. Semi-automatically segmented T1 weighted MRI images of 104 young adults revealed that connectivity was significantly correlated to cerebral white matter volume (alpha oscillations: r = 33, p<01; theta: r = 22, p<05), while path length was related to both white matter (alpha: max. r = 38, p<001) and gray matter (alpha: max. r = 36, p<001; theta: max. r = 36, p<001) volumes. In conclusion, EEG connectivity and graph theoretical network analysis may be used to trace structural and functional development of the brain.

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Crossref · 10.1371/journal.pone.0036896

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  • From roughly 5 years of age until adulthood, theta, alpha, and beta oscillation networks exhibit concurrent increases in clustering coefficient and strength of long-range anterior-posterior and interhemispheric connections.

    “From roughly 5 years of age until adulthood, theta (~4Hz), alpha (~10Hz), and beta (~20Hz) oscillation networks exhibit concurrent increases in clustering coefficient (Boersma et al., 2011; Smit et al., 2012) and strength of long-range anterior-posterior and interhemispheric connections (Barry et al., 2004; Miskovic et al., 2015; Smit et al., 2012; Srinivasan, 1999).”
  • These coincident trajectories support the hypothesis that developmental changes in baseline electrophysiological signatures may primarily be subserved by reduction of neuropil and progressive synapse elimination.

    “These coincident trajectories have provided key support for the hypothesis that developmental changes in baseline electrophysiological signatures may primarily be subserved by reduction of neuropil and progressive synapse elimination (Buchmann et al., 2011; Smit et al., 2012; Whitford et al., 2007).”
  • 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).”
  • 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).”
  • 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).”

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References 79 · Cited by 143

Research works printed but not linked: 1

  1. [59]Stam CJ de Haan W Daffertshofer A Jones BF Manshanden I 2009 Graph theoretical analysis of magnetoencephalographic functional connectivity in Alzheimer's disease. Brain 132 213 224 doi: 10.1093/brain/awn262 18952674 · DOI

Authors
Smit, D. J. A., Boersma, M., Schnack, H. G., Micheloyannis, S., Boomsma, D. I., Hulshoff Pol, H. E., Stam, C. J., & de Geus, E. J. C.
Affiliations
  • Amsterdam Neuroscience (NL)
  • Amsterdam UMC Location Vrije Universiteit Amsterdam (NL)
  • University Medical Center Utrecht (NL)
  • University of Crete (GR)
Corresponding author
Smit, Dirk J. A.
Venue
PLoS ONE
Published
2012-05-15
Volume
7
Issue
5
Pages
e36896
ISSN
1932-6203 (ISSN-L)
OpenAlex
W2071705943
Cited by
143
References
79
Citations by year
2026: 6 · 2025: 8 · 2024: 15 · 2023: 10 · 2022: 12 · 2021: 9 · 2020: 6 · 2019: 12 · 2018: 8 · 2017: 9 · 2016: 9 · 2015: 10 · 2014: 14 · 2013: 11 · 2012: 4
FWCI
6.39
Type
journal article
Language
en
Open access
Locations
  • PLoS ONE (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Pure Amsterdam UMC (publishedVersion, other-oa)
  • Amsterdam UMC (VU Amsterdam) - Institutional Repository (publishedVersion, other-oa)
  • VU Research Portal (publishedVersion, other-oa)
  • Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
  • Digital Academic REpository of VU University Amsterdam (Vrije Universiteit Amsterdam) (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • Vrije Universiteit Amsterdam
  • Nederlandse Organisatie voor Wetenschappelijk Onderzoek (NWO/ SPI 56-464-14192, 451-08-026, 56‐464‐14192, Spi-56-464-14192, 14192)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
Keywords
brain maturation, functional connectivity, graph theory, network randomness, local clustering coefficient, alpha oscillations, beta oscillations, theta oscillations, white matter volume, gray matter volume
MeSH terms
Adolescent, Adult, Aged, Brain, Child, Child, Preschool, Cortical Synchronization, Electroencephalography, Female, Humans, Longitudinal Studies, Male, Middle Aged, Nerve Net, Neural Pathways, Signal Processing, Computer-Assisted, Life, Young Adult

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