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Modeling the Functional Network for Spatial Navigation in the Human Brain
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Developmental changes in functional brain networks from birth through adolescence.

Elveda Gozdas1, Scott K Holland2, Mekibib Altaye3

  • 1Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California.

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|December 25, 2018
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This study reveals how functional brain networks mature from birth to adolescence, showing changes in global and local efficiency with age and some sex differences. These findings enhance understanding of brain development and cognitive function.

Keywords:
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Area of Science:

  • Neuroscience
  • Developmental Neuroscience
  • Cognitive Neuroscience

Background:

  • Functional magnetic resonance imaging (fMRI) and graph theory analysis offer novel insights into brain development and disorders.
  • Understanding the evolving functional brain connectome is crucial for cognitive development.

Purpose of the Study:

  • To investigate age, sex, and neurocognitive influences on functional brain network topology in healthy individuals aged 0-18 years.
  • To analyze developmental changes in global and regional brain network organization using graph theory.

Main Methods:

  • Analysis of fMRI data from 189 healthy children and adolescents (0-18 years) during rest.
  • Application of graph theory metrics to assess functional brain network topology.
  • Examination of developmental trajectories and sex-based differences in network properties.

Main Results:

  • Global Efficiency and Rich-Club coefficient increased with age; Local Efficiency and Small-Worldness decreased.
  • Global Modularity exhibited an inverted U-shaped developmental trajectory.
  • Marginal sex differences were noted in Local Efficiency, Small-Worldness, and global Modularity.

Conclusions:

  • Brain functional connectome topology undergoes significant developmental changes from birth through adolescence.
  • These maturation patterns are related to cognitive development and show subtle sex-related variations.
  • The study provides a foundational understanding of normative brain network development.