White matter structural and network topological changes in moyamoya disease with limb paresthesia: A study based on diffusion kurtosis imaging

Rujing Sun; Shi-Yu Zhang; Xu Cheng; Sangma Xie; Peng-Gang Qiao; Gong-Jie Li

doi:10.3389/fnins.2022.1029388

White matter structural and network topological changes in moyamoya disease with limb paresthesia: A study based on diffusion kurtosis imaging

Front Neurosci. 2022 Oct 31:16:1029388. doi: 10.3389/fnins.2022.1029388. eCollection 2022.

Authors

Rujing Sun¹, Shi-Yu Zhang¹, Xu Cheng¹, Sangma Xie², Peng-Gang Qiao^{1

3}, Gong-Jie Li³

Affiliations

¹ Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
² School of Automation, Hangzhou Dianzi University, Hangzhou, China.
³ Department of Radiology, Affiliated Hospital of Academy of Military Medical Sciences, Beijing, China.

Abstract

Purpose: To investigate the structural and network topological changes in the white matter (WM) in MMD patients with limb paresthesia by performing diffusion kurtosis imaging (DKI).

Materials and methods: A total of 151 MMD patients, including 46 with left-limb paresthesia (MLP), 52 with right-limb paresthesia (MRP), and 53 without paresthesia (MWP), and 28 healthy controls (HCs) underwent whole-brain DKI, while the surgical patients were reexamined 3-4 months after revascularization. The data were preprocessed to calculate the fractional anisotropy (FA) and mean kurtosis (MK) values. Voxel-wise statistics for FA and MK images were obtained by using tract-based spatial statistics (TBSS). Next, the whole-brain network was constructed, and global and local network parameters were analyzed using graph theory. All parameters were compared among the HC, MWP, MLP, and MRP groups, and changes in the MMD patients before and after revascularization were also compared.

Results: The TBSS analysis revealed significant reductions in FA and MK in extensive WM regions in the three patient groups. In comparison with the MWP group, the MLP group showed reductions in FA and MK in both right and left WM, mainly in the right WM, while the MRP group mainly showed a reduction in FA in the left WM region and demonstrated no significant change in MK. The graph theoretical analysis showed decreased global network efficiency, increased characteristic path length, and increased sigma in the MWP, MRP, and MLP groups in comparison with the HC group. Among local network parameters, the nodal efficiency decreased in the bilateral MFG and IFGtriang, while the degree decreased in the MFG.L and bilateral IFGtriang. Patients with right-limb paresthesia showed the lowest nodal efficiency and degree in MFG.L and IFGtriang.L, while those with left-limb paresthesia showed the lowest nodal efficiency in MFG.R and IFGtriang.R and the lowest degree in IFGtriang.R.

Conclusion: A DKI-based whole-brain structural and network analysis can be used to detect changes in WM damage and network topological changes in MMD patients with limb paresthesia. FA is more sensitive than MK in detecting WM injury, while MFG and IFGtriang are the key nodes related to the development of acroparesthesia.

Keywords: brain network; diffusion kurtosis imaging (DKI); limb paresthesia; magnetic resonance imaging (MRI); moyamoya disease (MMD).