Journal of Neuroscience Research · 2020 · 24 citations · 51 references
MedicineNeurologyNeuroscienceClinical NeuroscienceNeuroanatomyNeurodegenerationBrain ImagingNeurocognitive DisordersNeurodegenerative DiseasesNeurodegenerative DisordersParkinson DiseaseWhite Matter TractsMicrostructural AlterationNeurite Orientation Dispersion And Density ImagingNeuroimaging In Parkinson's DiseaseWhite Matter AbnormalitiesWhite Matter ImagingWhite Matter IntegrityWhite Matter PathologyWhite Matter Tract Analysis
Neurocognitive and psychiatric disorders have significant consequences for quality of life in patients with Parkinson's disease (PD). In the current study, we evaluated microstructural white matter (WM) alterations associated with neurocognitive and psychiatric disorders in PD using neurite orientation dispersion and density imaging (NODDI) and linked independent component analysis (LICA). The indices of NODDI were compared between 20 and 19 patients with PD with and without neurocognitive and psychiatric disorders, respectively, and 25 healthy controls using tract-based spatial statistics and tract-of-interest analyses. LICA was applied to model inter-subject variability across measures. A widespread reduction in axonal density (indexed by intracellular volume fraction [ICVF]) was demonstrated in PD patients with and without neurocognitive and psychiatric disorders, as compared with healthy controls. Compared with patients without neurocognitive and psychiatric disorders, patients with neurocognitive and psychiatric disorders exhibited more extensive (posterior predominant) decreases in axonal density. Using LICA, ICVF demonstrated the highest contribution (59% weight) to the main effects of diagnosis that reflected widespread decreases in axonal density. These findings suggest that axonal loss is a major factor underlying WM pathology related to neurocognitive and psychiatric disorders in PD, whereas patients with neurocognitive and psychiatric disorders had broader axonal pathology, as compared with those without. LICA suggested that the ICVF can be used as a useful biomarker of microstructural changes in the WM related to neurocognitive and psychiatric disorders in PD.
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