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Modeling the Functional Network for Spatial Navigation in the Human Brain
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Published on: October 13, 2023

The development of human functional brain networks.

Jonathan D Power1, Damien A Fair, Bradley L Schlaggar

  • 1Department of Neurology, Washington University School of Medicine, St Louis, MO 63110, USA. powerj@wusm.wustl.edu

Neuron
|September 10, 2010
PubMed
Summary

This review explores how functional brain networks develop from infancy to adolescence using resting-state functional connectivity MRI. Graph theory analysis reveals preserved network properties across development, similar to complex systems.

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Area of Science:

  • Neuroscience
  • Developmental Neuroscience
  • Systems Neuroscience

Background:

  • Recent MRI advances allow precise measurement of correlated brain activity.
  • This has led to comprehensive descriptions of human functional brain networks.
  • Understanding network development is crucial for cognitive and behavioral science.

Purpose of the Study:

  • To review the literature on functional brain network development from infancy through adolescence.
  • To introduce graph theory as a framework for analyzing brain networks.
  • To emphasize comprehensive network characterization within broader contexts.

Main Methods:

  • Review of resting-state functional connectivity MRI studies.
  • Application of graph theory to analyze network properties.
  • Examination of network development across pediatric age ranges.

Main Results:

  • Functional brain networks undergo substantial reorganization during development.
  • Several large-scale network properties remain preserved from infancy to adolescence.
  • Brain networks exhibit organizational principles similar to other complex systems.

Conclusions:

  • Graph theory provides a powerful framework for understanding brain network development.
  • Comprehensive analysis requires considering networks within wider contexts.
  • Despite developmental changes, fundamental organizational principles of brain networks are conserved.