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Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
Published on: November 8, 2012
White matter microstructural abnormality in children with hydrocephalus detected by probabilistic diffusion
A Rajagopal1, J S Shimony, R C McKinstry
1Pediatric Neuroimaging Research Consortium.
Insights
Probabilistic diffusion tractography reveals reduced white matter (WM) connectivity in children with hydrocephalus. This method highlights WM tract damage, offering quantitative insights into the condition.
Area of Science:
- Neuroimaging
- Pediatric Neurology
- White Matter Integrity
Background:
- Hydrocephalus significantly impacts white matter (WM) integrity, leading to poor patient outcomes.
- Understanding WM damage is crucial for managing hydrocephalus in children.
Purpose of the Study:
- To investigate tract-based WM connectivity and diffusion tensor imaging (DTI) measures in children with hydrocephalus.
- To utilize probabilistic diffusion tractography for assessing WM changes.
Main Methods:
- Compared 12 children with hydrocephalus to 16 age-matched controls.
- Employed probabilistic diffusion tractography to analyze connectivity index and DTI measures (FA, MD, AD, RD) in specific WM tracts.
- Focused analysis on the genu of the corpus callosum and corticospinal tracts.
Main Results:
- Children with hydrocephalus exhibited a higher percentage of WM voxels with lower normalized connectivity index values.
- Significantly lower normalized connectivity index was observed in the genu of the corpus callosum and corticospinal tracts in the hydrocephalus group.
- Elevated mean, axial, and radial diffusivity, alongside reduced fractional anisotropy, were noted in key WM tracts of children with hydrocephalus.
Conclusions:
- Probabilistic diffusion tractography is a sensitive method for detecting WM tract compromise due to mechanical distortion in hydrocephalus.
- This voxel-based connectivity analysis provides quantitative data that complements standard DTI measures.
- The findings underscore the utility of advanced imaging techniques in characterizing hydrocephalus-related neurological damage.
Background And Purpose:
Hydrocephalus is a severe pathologic condition in which WM damage is a major factor associated with poor outcomes. The goal of the study was to investigate tract-based WM connectivity and DTI measurements in children with hydrocephalus by using the probabilistic diffusion tractography method.
Materials And Methods:
Twelve children with hydrocephalus and 16 age-matched controls were included in the study. Probabilistic diffusion tractography was conducted to generate tract-based connectivity distribution and DTI measures for the genu of the corpus callosum and the connectivity index. Tract-based summary measurements, including the connectivity index and DTI measures (fractional anisotropy, mean diffusivity, axial diffusivity, and radial diffusivity), were calculated and compared between the 2 study groups.
Results:
Tract-based summary measurement showed a higher percentage of voxels with lower normalized connectivity index values in the WM tracts in children with hydrocephalus. In the genu of the corpus callosum, the left midsegment of the corticospinal tract, and the right midsegment of the corticospinal tract, the normalized connectivity index value in children with hydrocephalus was found to be significantly lower (P < .05, corrected). The tract-based DTI measures showed that the children with hydrocephalus had significantly higher mean diffusivity, axial diffusivity, and radial diffusivity in the genu of the corpus callosum, left midsegment of the corticospinal tract, and right midsegment of corticospinal tract and lower fractional anisotropy in the genu of the corpus callosum (P < .05, corrected).
Conclusions:
The analysis of WM connectivity showed that the probabilistic diffusion tractography method is a sensitive tool to detect the decreased continuity in WM tracts that are under the direct influence of mechanical distortion and increased intracranial pressure in hydrocephalus. This voxel-based connectivity method can provide quantitative information complementary to the standard DTI summary measures.
