Differences of dynamic connectivity of motor function network between meningioma and low-grade glioma based on wavelet transform
10.13929/j.issn.1003-3289.2020.06.003
- VernacularTitle: 脑膜瘤与低级别胶质瘤基于小波变换运动功能网络动态连接的差异
- Author:
Chen NIU
1
Author Information
1. Department of Medical Imaging, The First Affiliated Hospital of Xi'an Jiaotong University
- Publication Type:Journal Article
- Keywords:
Dynamic connection;
Glioma;
Magnetic resonance imaging;
Meningioma;
Motor function networks;
Wavelet transformation
- From:
Chinese Journal of Medical Imaging Technology
2020;36(6):813-817
- CountryChina
- Language:Chinese
-
Abstract:
Objective: To observe the differences of dynamic connectivity in motor function networks between meningioma and low-grade glioma. Methods: Totally 14 patients with meningioma (meningioma group), 14 patients with low grade gliomas (gliomas group) and 14 healthy controls (control group) were enrolled. The wavelet transform coherence (WTC) was used to analyze the dynamic connectivity in motor function networks of 3 groups. Results: The motor function networks nodes were determined by hands movement task stimulus and the generalized linear model analysis, which located at the left and right side of the primary motor cortex (LPMC and RPMC) and the supplementary motor area (SMA). The values of WTC in LPMC-SMA, RPMC-SMA and LPMC-RPMC in meningioma group and gliomas group were lower than those in control group, and in gliomas group were lower than those in meningioma group (all P<0.05). Conclusion: Low frequency fluctuation alteration of connectivity in motor function networks in patients with meningioma and low grade gliomas can be sensitively detected using WTC.
