1. Dynamic cerebellar and sensorimotor network compensation in tremor-dominated Parkinson's disease.
- Author
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Shen B, Yao Q, Li W, Dong S, Zhang H, Zhao Y, Pan Y, Jiang X, Li D, Chen Y, Yan J, Zhang W, Zhu Q, Zhang D, Zhang L, and Wu Y
- Subjects
- Humans, Male, Female, Middle Aged, Aged, Sensorimotor Cortex physiopathology, Sensorimotor Cortex diagnostic imaging, Nerve Net diagnostic imaging, Nerve Net physiopathology, Neural Pathways physiopathology, Parkinson Disease physiopathology, Parkinson Disease diagnostic imaging, Parkinson Disease complications, Tremor physiopathology, Tremor diagnostic imaging, Cerebellum diagnostic imaging, Cerebellum physiopathology, Magnetic Resonance Imaging
- Abstract
Aim: Parkinson's disease (PD) tremor is associated with dysfunction in the basal ganglia (BG), cerebellum (CB), and sensorimotor networks (SMN). We investigated tremor-related static functional network connectivity (SFNC) and dynamic functional network connectivity (DFNC) in PD patients., Methods: We analyzed the resting-state functional MRI data of 21 tremor-dominant Parkinson's disease (TDPD) patients and 29 healthy controls. We compared DFNC and SFNC between the three networks and assessed their associations with tremor severity., Results: TDPD patients exhibited increased SFNC between the SMN and BG networks. In addition, they spent more mean dwell time (MDT) in state 2, characterized by sparse connections, and less MDT in state 4, indicating stronger connections. Furthermore, enhanced DFNC between the CB and SMN was observed in state 2. Notably, the MDT of state 2 was positively associated with tremor scores., Conclusion: The enhanced dynamic connectivity between the CB and SMN in TDPD patients suggests a potential compensatory mechanism. However, the tendency to remain in a state of sparse connectivity may contribute to the severity of tremor symptoms., Competing Interests: Declaration of competing interest All authors declare no financial or non-financial competing interests., (Copyright © 2024. Published by Elsevier Inc.)
- Published
- 2024
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