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Updated: Jun 11, 2026

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
Published on: July 28, 2013
Diffusion tensor imaging of Aicardi syndrome
Michael Wahl1, Zoe A Strominger, Mari Wakahiro
1Department of Neurology, University of California, San Francisco, San Francisco, California 94143-0114, USA.
Aicardi syndrome disrupts corticocortical white matter connectivity, unlike other neurodevelopmental disorders. Diffusion tensor imaging reveals widespread organization issues specific to this condition.
Area of Science:
- Neuroscience
- Developmental Neuroscience
- Medical Imaging
Background:
- Aicardi syndrome is a severe congenital neurodevelopmental disorder.
- It is characterized by cognitive and motor impairments.
- Understanding its neurobiological underpinnings is crucial.
Purpose of the Study:
- To investigate white matter organization in Aicardi syndrome using diffusion tensor imaging (DTI).
- To compare white matter connectivity in Aicardi syndrome with matched controls exhibiting similar anatomical abnormalities.
Main Methods:
- Diffusion tensor imaging (DTI) and whole-brain three-dimensional fiber tractography were employed.
- Major white matter tracts were isolated in two subjects with Aicardi syndrome.
- Two matched control subjects with callosal agenesis and cortical malformations were included for comparison.
Main Results:
- One Aicardi subject showed a near-complete absence of normal corticocortical connectivity.
- The second Aicardi subject had limited recovered corticocortical tracts (cingulum bundles, uncinate fasciculus).
- Subcortical tracts were preserved in Aicardi subjects, while controls showed intact corticocortical and subcortical connectivity.
Conclusions:
- Aicardi syndrome is associated with widespread disruption of corticocortical white matter organization.
- This white matter disruption is a specific feature of Aicardi syndrome.
- The findings differentiate Aicardi syndrome from other neurodevelopmental disorders with similar anatomical manifestations.
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