Patterns of diffusion kurtosis changes in Parkinson's disease subtypes
Language English Country Great Britain, England Media print-electronic
Document type Journal Article, Research Support, Non-U.S. Gov't
PubMed
33120076
DOI
10.1016/j.parkreldis.2020.10.032
PII: S1353-8020(20)30825-7
Knihovny.cz E-resources
- Keywords
- Diagnostic marker, Diffusion kurtosis imaging, MRI, Mild cognitive impairment, Parkinson's disease,
- MeSH
- Atrophy MeSH
- Basal Ganglia diagnostic imaging MeSH
- White Matter diagnostic imaging MeSH
- Diffusion Magnetic Resonance Imaging MeSH
- Hippocampus diagnostic imaging MeSH
- Cognitive Dysfunction diagnostic imaging physiopathology psychology MeSH
- Middle Aged MeSH
- Humans MeSH
- Logistic Models MeSH
- Motor Cortex diagnostic imaging MeSH
- Brain diagnostic imaging pathology MeSH
- Multivariate Analysis MeSH
- Parkinson Disease diagnostic imaging physiopathology psychology MeSH
- Gray Matter diagnostic imaging MeSH
- Aged MeSH
- Models, Statistical MeSH
- Thalamus diagnostic imaging MeSH
- Diffusion Tensor Imaging MeSH
- Check Tag
- Middle Aged MeSH
- Humans MeSH
- Male MeSH
- Aged MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
BACKGROUND: Diffusion kurtosis imaging has been applied to evaluate white matter and basal ganglia microstructure in mixed Parkinson's disease (PD) groups with inconclusive results. OBJECTIVES: To evaluate specific patterns of kurtosis changes in PD and to assess the utility of diffusion imaging in differentiating between healthy subjects and cognitively normal PD, and between PD with and without mild cognitive impairment. METHODS: Diffusion scans were obtained in 92 participants using 3T MRI. Differences in white matter were tested by tract-based spatial statistics. Gray matter was evaluated in basal ganglia, thalamus, hippocampus, and motor and premotor cortices. Brain atrophy was also assessed. Multivariate logistic regression was used to identify a combination of diffusion parameters with the highest discrimination power between groups. RESULTS: Diffusion kurtosis metrics showed a significant increase in substantia nigra (p = 0.037, Hedges' g = 0.89), premotor (p = 0.009, Hedges' g = 0.85) and motor (p = 0.033, Hedges' g = 0.87) cortices in PD with normal cognition compared to healthy participants. Combined diffusion markers in gray matter reached 81% accuracy in differentiating between both groups. Significant white matter microstructural changes, and kurtosis decreases in the cortex were present in cognitively impaired versus cognitively normal PD. Diffusion parameters from white and gray matter differentiated between both PD phenotypes with 78% accuracy. CONCLUSIONS: Increased kurtosis in gray matter structures in cognitively normal PD reflects increased hindrance to water diffusion caused probably by alpha-synuclein-related microstructural changes. In cognitively impaired PD, the changes are mostly driven by decreased white matter integrity. Our results support the utility of diffusion kurtosis imaging for PD diagnostics.
References provided by Crossref.org
Early Changes in the Locus Coeruleus in Mild Cognitive Impairment with Lewy Bodies
Imaging Biomarkers in Prodromal and Earliest Phases of Parkinson's Disease
Language impairment in Parkinson's disease: fMRI study of sentence reading comprehension
