LAUSR

Mild cognitive impairment is a nonmotor complication in Parkinson's disease (PD) that have a high risk of developing dementia. White matter is associated with cognitive function in PD and the alterations may occur before the symptoms of the disease. Previous diffusion tensor imaging (DTI) studies lacked specificity to characterize the concrete contributions of distinct white matter tissue properties. This may lead to inconsistent conclusions about the alteration of white matter microstructure. Here, we used neurite orientation dispersion and density imaging (NODDI) and white matter fiber clustering method to uncover local white matter microstructures in PD with mild cognitive impairment (PD‐MCI). This study included 23 PD‐MCI and 20 PD with normal cognition (PD‐NC) and 21 healthy controls (HC). To probe specific and fine‐grained differences, metrics of NODDI and DTI in white matter fiber clusters were evaluated using along‐tract analysis. Our results showed that PD‐MCI patients had significantly lower neurite density index (NDI) and orientation dispersion index (ODI) in white matter fiber clusters in the prefrontal region. Correlation analysis and receiver operating characteristic (ROC) analysis revealed that the diagnostic performance of NODDI‐derived metrics in cingulum bundle (2 clusters) and thalamo‐frontal (2 clusters) were superior to DTI metrics. Our study provides a more specific insight to uncover local white matter abnormalities in PD‐MCI, which benefit understanding the underlying mechanism of cognitive decline in PD and predicting the disease in advance.