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Abstract #3042

Abnormal intrinsic brain functional network dynamics associated with tremor in Parkinson’s disease

Junlan Zhu1, Guanxun Cheng1, Qiaoling Zeng1, Chao Lai1, Jiao Li1, and Shuwen Dong1
1Department of Medical Imaging, Peking University Shenzhen Hospital, Shenzhen, China

By applying group information guided independent component analysis to fMRI data, the dFNCs of each subject were estimated using a sliding window method and k-means clustering. Four dynamic functional states were identified. Interestingly, our study found that dwell time in State I was positively correlated with resting tremor scors in TD-PDs dFNC strength between BG and vSMN in State3 had significant positive correlation with MDS-UPDRS-III score in PD patients. Our study indicates that tremor in Parkinson’s disease is characterized by altered dFNC strength and temporal properties in dynamic connectivity, which provides a new insight into the pathological of Parkinsonian tremor.

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