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

Network analysis: applications for the developing brain.

Catherine J Chu-Shore1, Mark A Kramer, Matt T Bianchi

  • 1Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA. cchushore@partners.org

Journal of Child Neurology
|February 10, 2011
PubMed
Summary
This summary is machine-generated.

Network analysis offers insights into human brain development, mapping age-specific anatomical and functional brain networks. This approach aids understanding of neurodevelopmental changes and potential disease alterations.

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Area of Science:

  • Neuroscience
  • Developmental Neuroscience
  • Network Science

Background:

  • Human brain development involves complex, age-specific anatomical and physiological changes.
  • Network analysis offers a powerful framework for understanding the dynamic properties of the brain.
  • Previous research has begun to explore functional brain networks during neurodevelopment.

Purpose of the Study:

  • To provide a critical synopsis of network analysis methods applied to developing brain networks.
  • To outline the primary events of anatomical cortical development.
  • To review the evolution of age-specific functional brain networks and their alterations in disease.

Main Methods:

  • Review of network analysis concepts and approaches.
  • Description of anatomical cortical development from gestation through adolescence.
  • Synthesis of existing research on functional brain network evolution in neurodevelopment.

Main Results:

  • Network analysis illuminates dynamic interregional and global brain properties.
  • Age-specific functional brain networks evolve throughout normal neurodevelopment.
  • These network relationships can be altered in disease states.

Conclusions:

  • Network analysis provides a promising approach to understanding normal and abnormal human neural development.
  • This methodology holds potential for future discoveries in neuroscience.
  • Understanding network alterations may inform treatment strategies for neurological disorders.