A preliminary diffusional kurtosis imaging study of Parkinson disease: comparison with conventional diffusion tensor...

Area of Science:

• Neuroimaging
• White Matter Integrity
• Parkinson Disease Research

Background:

• Diffusional kurtosis imaging (DKI) offers superior sensitivity over conventional diffusion tensor imaging (DTI) for assessing tissue microstructure.
• DKI can quantify white matter integrity, even in areas with complex fiber crossings.
• Parkinson disease (PD) is associated with white matter alterations that may be detectable with advanced imaging techniques.

Purpose of the Study:

• To compare the ability of DKI and DTI to reveal white matter abnormalities in Parkinson disease (PD).
• To investigate the sensitivity of DKI in detecting microstructural changes in the brains of PD patients.

Main Methods:

• DKI and DTI scans acquired on 12 PD patients and 10 healthy controls using a 3-T MRI scanner.
• Tract-based spatial statistics (TBSS) applied to compare mean kurtosis (MK), mean diffusivity (MD), and fractional anisotropy (FA) maps.
• Region-of-interest analysis focused on posterior corona radiata and superior longitudinal fasciculus (SLF) fiber crossing areas.

Main Results:

• Significantly lower FA values observed in the frontal white matter of PD patients compared to controls.
• Widespread reductions in mean kurtosis (MK) found in PD patients, including frontal, parietal, occipital, and temporal white matter.
• Reduced MK values detected in the posterior corona radiata and SLF fiber crossing regions in the PD group.

Conclusions:

• DKI demonstrates higher sensitivity than DTI in detecting cerebral white matter changes associated with Parkinson disease.
• DKI is effective in evaluating white matter integrity in areas with crossing fibers, a challenge for DTI.
• DKI shows potential as a sensitive biomarker for assessing brain pathology in PD and monitoring disease progression.