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Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
Published on: July 28, 2013
Myelination deficits in schizophrenia: evidence from diffusion tensor imaging.
M Scheel1, T Prokscha, M Bayerl
1Department of Neuroradiology, Charité, Universitätsmedizin Berlin, Charitéplatz 1, 10117 Berlin, Germany. michael.scheel@charite.de
Brain Structure & Function
|February 14, 2012
Summary
Schizophrenia patients show decreased white matter integrity, specifically due to increased radial diffusivity (RD), not parallel diffusivity (PD). This finding suggests disrupted myelination in the brain.
Area of Science:
- Neuroimaging
- Neuroscience
- Radiology
Background:
- Diffusion Tensor Imaging (DTI) studies consistently report reduced fractional anisotropy (FA) in schizophrenia patients, indicating compromised white matter microstructure.
- FA is a relative measure; reductions can stem from decreased parallel diffusivity (PD) or increased radial diffusivity (RD).
- The specific microstructural basis for FA reduction in schizophrenia remains unclear.
Purpose of the Study:
- To investigate the underlying microstructural changes (PD and RD) contributing to reduced FA in schizophrenia.
- To localize these diffusion changes within specific white matter tracts and brain regions.
Main Methods:
- Seventeen schizophrenia patients and healthy controls underwent DTI scanning.
- Voxel-based and tract-specific analyses were employed to examine FA, PD, and RD values.
Main Results:
- Schizophrenia patients exhibited significantly lower FA compared to controls.
- The observed FA reduction was primarily attributed to increased RD, with no significant changes in PD.
- These alterations were predominantly found in frontal and temporal white matter regions.
Conclusions:
- Increased RD, underlying the decreased FA in schizophrenia, suggests myelin sheath disintegration.
- This finding aligns with histopathological evidence pointing to disturbed myelination in schizophrenia.
- DTI-based diffusion parameter analysis offers insights into white matter abnormalities in psychiatric disorders.
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