Abstract

Background

Accumulating neuroimaging evidence indicates that patients with cervical dystonia (CD) have changes in the cortico-subcortical white matter (WM) bundle. However, whether these patients’ WM structural networks undergo reorganization remains largely unclear. We aimed to investigate topological changes in large-scale WM structural networks in patients with CD compared to healthy controls (HCs), and explore the network changes associated with clinical manifestations.

Methods

Diffusion tensor imaging (DTI) was conducted in 30 patients with CD and 30 HCs, and WM network construction was based on the BNA-246 atlas and deterministic tractography. Based on the graph theoretical analysis, global and local topological properties were calculated and compared between patients with CD and HCs. Then, the AAL-90 atlas was used for the reproducibility analyses. In addition, the relationship between abnormal topological properties and clinical characteristics was analyzed.

Results

Compared with HCs, patients with CD showed changes in network segregation and resilience, characterized by increased local efficiency and assortativity, respectively. In addition, a significant decrease of network strength was also found in patients with CD relative to HCs. Validation analyses using the AAL-90 atlas similarly showed increased assortativity and network strength in patients with CD. No significant correlations were found between altered network properties and clinical characteristics in patients with CD.

Conclusion

Our findings show that reorganization of the large-scale WM structural network exists in patients with CD. However, this reorganization is attributed to dystonia-specific abnormalities or hyperkinetic movements that need further identification.

Details

Title
Topological alterations in white matter anatomical networks in cervical dystonia
Author
Zhang, Jiana; Luo, Yuhan; Zhong, Linchang; Liu, Huiming; Yang, Zhengkun; Weng, Ai; Zhang, Yue; Zhang, Weixi; Yan, Zhicong; Xu, Jinping; Liu, Gang; Peng, Kangqiang; Ou, Zilin
Pages
1-9
Section
Research
Publication year
2024
Publication date
2024
Publisher
Springer Nature B.V.
e-ISSN
14712377
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3066881206
Copyright
© 2024. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.