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Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
Published on: June 26, 2013
Decreased interhemispheric functional connectivity in subtypes of Parkinson's disease
Xiaofei Hu1, Jiuquan Zhang, Xiaomei Jiang
1Department of Radiology, Southwest Hospital, Third Military Medical University, Chongqing, 400038, People's Republic of China.
Abstract:
Parkinson's disease (PD) can be classified into tremor-dominant (TD) subtype and akinetic-rigid (AR) subtype, which exhibit different clinical courses and prognoses. However, the neural mechanisms underlying different subtypes of PD are not well understood. Using voxel-mirrored homotopic connectivity (VMHC), we examined the homotopic resting-state functional connectivity patterns in akinetic-rigid PD (AR-PD) and tremor-dominant PD (TD-PD) to study the neural basis for these disparate manifestations of PD. Twenty-one TD-PD patients, 29 AR-PD patients and 26 normal control subjects participated in this study. Resting-state fMRI data were analyzed using VMHC. Correlations between VMHC values and each clinical characteristic were also calculated. Compared with normal control subjects and subjects with AR-PD, subjects with TD-PD exhibited significantly lower VMHC values in the posterior lobe of the cerebellum. Moreover, tremor scores and VMHC values for the cerebellum were found to be significantly negatively correlated in TD-PD patients. By contrast, subjects with AR-PD exhibited lower VMHC values in the precentral gyrus compared with normal control subjects. These findings suggest that functional coordination between homotopic brain regions is impaired in AR-PD and TD-PD patients. This study provides evidence of both cerebellum-related connectivity deficits in TD-PD. The finding that VMHC values and tremor scores were significantly correlated suggests that VMHC measurements may be of potential clinical relevance in TD-PD.
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