Parkinson's Disease MRI Brain Scans from 41 Subjects

Dryad hosts a neuroimaging dataset from a study of 41 participants, including 20 Parkinson's disease patients and 21 healthy controls. The data comprises high-resolution T1-weighted and 60-direction diffusion-weighted 3T MRI images. It includes derived volumetric and diffusion property measures for cortical, deep grey matter, and white matter regions.

Use Cases

• Analyze white matter diffusion properties like axial, mean, and radial diffusivity in the corona radiata and internal capsule to detect early Parkinson's disease biomarkers.
• Compare grey matter intensity in the superior parietal lobe between patient and control groups using flipped and un-flipped data analysis.
• Correlate volumetric measures of cortical and deep grey matter with cognitive domain test scores for attention, executive function, and working memory.
• Investigate hemispheric asymmetry in white matter microstructure alterations using data flipped to the side of disease origin.

Strengths

• Includes a controlled cohort of 20 Parkinson's disease patients and 21 matched healthy controls.
• Provides multi-modal MRI data with both high-resolution T1-weighted and 60-direction diffusion-weighted sequences.
• Contains derived metrics for brain structure, including regional volumes, densities, and multiple diffusion tensor imaging properties.

Limitations

• Small sample size of 41 total participants limits statistical power and generalizability of findings.
• Dataset scope is restricted to Parkinson's disease patients without cognitive impairment, excluding other disease stages.
• Lacks raw cognitive test scores, providing only the conclusion of no significant group differences.

Provenance

Source

Dryad, contributed by author Ivan Rektor.

Collection Method

Data collected from a clinical study using 3T MRI scans and neuropsychological testing.

Freshness

Data was last updated in June 2020.