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White matter asymmetry in the human brain: a diffusion tensor MRI study.
C Büchel1, T Raedler, M Sommer
1NeuroImage Nord, Department of Neurology, Hamburg University Medical School, D-20246 Hamburg, Germany. buechel@uke.uni-hamburg.de
Cerebral Cortex (New York, N.Y. : 1991)
|April 30, 2004
Summary
Diffusion Tensor Imaging (DTI) reveals significant white matter asymmetries, particularly in the arcuate fascicle, linked to language. This advanced technique also identified handedness-related white matter differences, offering insights into brain structure.
Area of Science:
- Neuroimaging
- Neuroscience
- Brain Anatomy
Background:
- Cerebral cortex asymmetry (grey matter) and connectivity (white matter) are linked to language and handedness.
- Voxel-based morphometry (VBM) using T1-weighted images has identified grey matter asymmetry but shows inconsistent results for white matter.
- Previous VBM studies have not detected handedness-related differences in grey or white matter.
Purpose of the Study:
- To investigate white matter asymmetries and handedness-related differences using Diffusion Tensor Imaging (DTI).
- To overcome the limitations of VBM in detecting white matter microstructural differences.
Main Methods:
- Utilized Diffusion Tensor Imaging (DTI) on two independent subject groups.
- Applied voxel-based statistical analyses to examine white matter composition and asymmetry.
- Focused on fractional anisotropy (FA) as a measure of white matter integrity.
Main Results:
- Observed a significant asymmetry in the arcuate fascicle, with higher fractional anisotropy (FA) in the left hemisphere.
- Identified handedness-related differences in white matter beneath the precentral gyrus contralateral to the dominant hand.
- Demonstrated robust findings even with small sample sizes, highlighting DTI's sensitivity.
Conclusions:
- DTI is a sensitive tool for detecting white matter microstructural differences and asymmetries.
- The study provides evidence for white matter correlates of language (arcuate fascicle) and handedness.
- DTI is effective for studying small patient populations due to its high sensitivity.

