Dynamic functional connectivity changes of brain networks in different stages of Parkinson disease
10.13929/j.issn.1003-3289.2025.03.009
- VernacularTitle:不同分期帕金森病脑网络动态功能连接改变
- Author:
Qinru LIU
1
;
Yuqing TANG
1
;
Changlian TAN
1
;
Xu LI
1
;
Yaping NIU
1
;
Congli HUANG
1
;
Haiyan LIAO
1
Author Information
1. 中南大学湘雅二医院放射科,湖南长沙 410011
- Publication Type:Journal Article
- Keywords:
Parkinson disease;
brain;
magnetic resonance imaging;
functional connectivity;
prospective studies
- From:
Chinese Journal of Medical Imaging Technology
2025;41(3):389-393
- CountryChina
- Language:Chinese
-
Abstract:
Objective To observe changes of dynamic functional connectivity(dFC)of brain networks in different stages of Parkinson disease(PD).Methods Totally 52 early-stage PD patients(early PD group),36 late-stage PD patients(late PD group)and 38 healthy controls(HC group)were prospectively enrolled,and resting-state functional MRI were performed.The sliding window,independent component analysis and k-means clustering were used to extract dFC intensity and temporal properties,including fractional windows,dwell time and transition frequency.Results Network connectivity patterns within and between visual network(VIS),sensorimotor network(SMN),default mode network(DMN),cerebellar network(CB)and cognitive executive network(CEN)were altered in PD patients.Four dFC states were identified,in which connections between components in states Ⅰ and Ⅱ were compact,while in states Ⅲ and Ⅳ were sparse.The fractional window and dwell time of late PD group,early PD group and HC group successively increased under state Ⅱ,but successively decreased under state Ⅲ(all P＜0.05).Under state Ⅰ and Ⅳ,no significant difference of fractional window nor dwell time was found between early PD group and late PD group(both P＞0.05),and the above indexes under state Ⅰ were both lower than those in HC group(all P＜0.05),the fraction window under state Ⅳ was higher than that in HC group(both P＜0.05).Conclusion The temporal properties of dFC in PD patients were altered,characterized by increased tendency toward segregated states.Furthermore,fractional windows and dwell time were associated with PD disease stages,suggesting that dFC parameters might serve as novel biomarkers for assessing clinical progression of PD.
