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Related Experiment Video

Updated: Sep 13, 2025

Cortical Source Analysis of High-Density EEG Recordings in Children
09:32

Cortical Source Analysis of High-Density EEG Recordings in Children

Published on: June 30, 2014

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Simulation-based inference of developmental EEG maturation with the spectral graph model.

Danilo Bernardo1, Xihe Xie2, Parul Verma3

  • 1Department of Neurology and Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA USA.

Communications Physics
|August 4, 2025
PubMed
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Brain activity spectra mature during development, reflecting changes in neural network dynamics. This study links electroencephalogram (EEG) spectral changes to brain connectivity and neural parameters during development.

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Developmental Neuroscience

Background:

  • Macroscopic neural activity spectral content changes during development.
  • The relationship between spectral maturation and brain network formation/dynamics is not well understood.

Purpose of the Study:

  • To investigate the developmental maturation of electroencephalogram (EEG) spectra.
  • To link spectral maturation to underlying brain network formation and dynamics.

Main Methods:

  • Utilized Bayesian model inversion of the spectral graph model (SGM).
  • Employed simulation-based inference to estimate age-varying SGM parameter posterior distributions from EEG spectra.
  • The SGM is a whole-brain model of spatiospectral neural activity derived from linearized neural field models coupled by the structural connectome.
Keywords:
Biological physicsComputational biophysicsComputational science

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Related Experiment Videos

Last Updated: Sep 13, 2025

Cortical Source Analysis of High-Density EEG Recordings in Children
09:32

Cortical Source Analysis of High-Density EEG Recordings in Children

Published on: June 30, 2014

21.5K
EEG Mu Rhythm in Typical and Atypical Development
11:50

EEG Mu Rhythm in Typical and Atypical Development

Published on: April 9, 2014

25.9K
Computer-based Multitaper Spectrogram Program for Electroencephalographic Data
04:13

Computer-based Multitaper Spectrogram Program for Electroencephalographic Data

Published on: November 13, 2019

12.3K

Main Results:

  • The model-fitting approach accurately captured observed developmental EEG spectral maturation.
  • This maturation was explained by a neurobiologically consistent progression of key neural parameters: long-range coupling, axonal conduction speed, and excitatory:inhibitory balance.
  • Demonstrated age-dependent functional adaptations in localized neural dynamics and long-range coupling.

Conclusions:

  • Spectral maturation of macroscopic neural activity during typical development is supported by age-dependent functional adaptations.
  • These adaptations involve localized neural dynamics and their long-range coupling across the macroscopic structural network.