Differences of dynamic connectivity of motor function network between meningioma and low-grade glioma based on wavelet transform / 中国医学影像技术

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.