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Detecting brain growth patterns in normal children using tensor-based morphometry.

Xue Hua1, Alex D Leow, Jennifer G Levitt

  • 1Laboratory of Neuro Imaging, Brain Mapping Division, Department of Neurology, University of California Los Angeles School of Medicine, Los Angeles, CA 90095-7334, USA.

Human Brain Mapping
|December 8, 2007
PubMed
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This study reveals adolescent brain development involves white matter growth and gray matter loss using advanced MRI techniques. Tensor-based morphometry accurately maps these complex developmental changes in children.

Area of Science:

  • Neuroimaging
  • Developmental Neuroscience
  • Biomedical Engineering

Background:

  • Previous MRI studies indicated age-related changes in white and gray matter volumes in children.
  • Advanced image analysis strategies now allow for higher spatial resolution detection of human brain growth.

Purpose of the Study:

  • To investigate the spatio-temporal complexity of adolescent brain maturation.
  • To apply tensor-based morphometry for detailed analysis of brain development.

Main Methods:

  • Utilized a novel non-linear elastic intensity-based registration algorithm on serial structural MRI scans.
  • Analyzed data from 13 healthy children to generate individual Jacobian growth maps.
  • Registered Jacobian maps to a common anatomical space for statistical analysis.

Related Experiment Videos

Main Results:

  • Detected significant tissue growth in cerebral white matter.
  • Observed gray matter loss in the parietal, temporal, and occipital lobes.
  • Linear regression indicated a slowing growth rate in areas of high white matter growth, influenced by age and gender.

Conclusions:

  • Tensor-based Jacobian mapping is a sensitive and reliable method for detecting regional tissue changes during development.
  • Adolescent brain maturation exhibits complex spatio-temporal patterns of white matter expansion and gray matter reduction.
  • The findings provide new insights into the developmental trajectory of the human brain.