Association between regional white matter hyperintensity burden and cognitive impairment in Parkinson′s disease patients / 中华神经科杂志

ABSTRACT

Objective:To investigate the association between regional white matter hyperintensity (WMH) volumes and cognitive impairment in Parkinson′s disease (PD) patients.Methods:The consecutive samples of PD cohort between October 2018 and August 2019 from the Department of Movement Disorders, Beijing Tiantan Hospital, Capital Medical University were retrospectively analyzed. Demographic and disease profiles, three-dimensional brain magnetic resonance imaging data were collected. Cognition was evaluated by Mini-Mental State Examination (MMSE), and mood was evaluated by Hamilton Anxiety Scale and Hamilton Depression Scale (HAMD). According to the MMSE score, patients were divided into PD with dementia group and PD without dementia group. WMH volume was automatically calculated using unidentified bright objects detector pipeline based on anatomical autonomic labeling atlas. Firstly, demographic and disease profiles, and WMH total volume were compared between groups with and without dementia. Then, partial correlation analysis [false discovery rate (FDR) corrected] and principal component (PC) regression analysis were used to assess the association between regional WMH volumes and the MMSE score.Results:Compared with PD without dementia group, PD with dementia group showed significantly higher WMH volume [5 125 (2 727, 13 718) mm 3vs 3 214 (1 959, 7 205) mm 3, Z=-2.256, P=0.024]. After adjusting for age, low density lipoprotein, cholesterol, and HAMD score, partial correlation analysis (FDR corrected) showed that WMH volumes in the right calcarine ( r=-0.204, PFDR-corrected=0.034), the right fusiform ( r=-0.180, PFDR-corrected=0.046), the right lingual ( r=-0.146, PFDR-corrected=0.047), the left middle temporal ( r=-0.168, PFDR-corrected=0.047), the left inferior parietal lobes ( r=-0.145, PFDR-corrected=0.047) and the right inferior parietal lobes ( r=-0.148, PFDR-corrected=0.047) were significantly associated with MMSE score. PC regression analysis demonstrated that MMSE score was significantly associated with PC2 ( B=-0.632, 95% CI -1.222--0.041, P=0.036), PC13 ( B=-1.384, 95% CI -2.155--0.613, P=0.001), and PC14 ( B=-0.913, 95% CI -1.599--0.227, P=0.009); PC2, PC13 and PC14 were mainly composed of temporo-parieto-occipital WMHs in the posterior brain, and the related WMH components accounted for 9.668% of WMH variance. Conclusions:The posterior WMH burden may be associated with cognitive impairment in PD patients. However, WMH burden may not be the main contributor to cognitive impairment in PD patients.