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Related Experiment Videos

Normal brain maturation during childhood: developmental trends characterized with diffusion-tensor MR imaging.

P Mukherjee1, J H Miller, J S Shimony

  • 1Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, St Louis, MO 63110, USA. mukherjeep@mir.wustl.edu

Radiology
|November 1, 2001
PubMed
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Brain development shows distinct water diffusion changes in gray and white matter, measurable with diffusion-tensor MR imaging. These quantitative metrics offer potential clinical milestones for assessing brain maturity.

Area of Science:

  • Neuroimaging
  • Developmental Neuroscience
  • Biophysics

Background:

  • Brain maturation involves complex microstructural changes.
  • Diffusion-tensor magnetic resonance (MR) imaging provides insights into tissue microstructure.
  • Understanding developmental trajectories of water diffusion is crucial for assessing brain maturity.

Purpose of the Study:

  • To characterize maturational changes in water diffusion within human brain gray and white matter.
  • To utilize diffusion-tensor MR imaging for quantitative analysis of brain development.

Main Methods:

  • Retrospective analysis of 153 normal subjects (1 day to 11 years).
  • Diffusion tensor-encoded echo-planar MR imaging was employed.
  • Isotropic diffusion coefficient (D) and diffusion anisotropy (A(sigma)) were measured in key brain regions.

Related Experiment Videos

Main Results:

  • Water diffusion exhibited biexponential decay with age in most gray and white matter regions.
  • A steep, nonlinear increase in diffusion anisotropy (A(sigma)) was observed in white matter, paralleling a decline in diffusion (D).
  • Basal ganglia showed minimal linear A(sigma) increase, while the thalamus displayed intermediate changes.

Conclusions:

  • Water diffusion magnitude and anisotropy follow predictable developmental time courses.
  • Multiexponential regression models can describe these developmental changes.
  • Quantitative diffusion-tensor MR imaging parameters may serve as clinical developmental milestones for brain maturity.