Covariant network features of iron deposition in Parkinson's disease with mild cognitive impairment
10.3969/j.issn.1002-1671.2025.04.003
- VernacularTitle:帕金森病轻度认知障碍脑铁沉积协变网络特征的研究
- Author:
Yi ZHAO
1
;
Hang QU
;
Jiangbing LIU
;
Yu PAN
;
Zheng LI
;
Chunhong HU
;
Wei WANG
Author Information
1. 扬州大学附属医院影像科,江苏 扬州 225009
- Publication Type:Journal Article
- Keywords:
Parkinson's disease with mild cognitive impair-ment;
brain iron deposition;
covariant network;
quantitative sus-ceptibility mapping
- From:
Journal of Practical Radiology
2025;41(4):549-553
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the covariant network features of iron deposition in Parkinson's disease with mild cognitive impairment(PD-MCI)based on quantitative susceptibility mapping(QSM).Methods Seventy-one patients with Parkinson's disease(PD)were divided into PD-MCI group(n=37)and PD with normal cognition(PD-NC)group(n=34).The differences of edge-connection and topological property parameters of the iron deposition covariant network between the two groups were compared,respectively.Results The iron deposition covariant network edge-connection analysis showed that there were significant difference in r values of the right globus pallidus-right cerebellar dentate nucleus,right globus pallidus-left putamen,and left hippo-campus-left substantia nigra between the two groups(P<0.05).The global topological property analysis showed that when the sparsity was 0.47 and 0.48,respectively,the Cp in PD-MCI group was significantly higher than that in PD-NC group(P<0.05).The node topological property analysis showed that there were significant differences in the node network property parameters of the left substantia nigra,left entorhinal cortex,left precentral gyrus,left putamen,left dentate nucleus,and right orbital frontal cortex between the two groups(P<0.05).Conclusion The changes of covariant network topological properties based on QSM may be the neuropathological mechanism in PD-MCI at the level of large-scale iron metabolism network.