| 牛晨,刘翔,温鑫,王茂德,郭建新,张明.基于小波变换的颅内肿瘤运动网络动态功能连接变化研究[J].中国医学影像技术,2020,36(6): |
| 基于小波变换的颅内肿瘤运动网络动态功能连接变化研究 |
| Changes of dynamic functional connectivity of the motor network in patients with intracranial tumor based on wavelet transform |
| 投稿时间：2019-07-31 修订日期：2020-06-15 |
| DOI： |
| 中文关键词: 动态功能连接 小波变换一致性 运动网络 颅内肿瘤 功能磁共振成像 |
| 英文关键词:dynamic functional connection Wavelet transform coherence motor network intracranial tumor functional magnetic resonance imaging |
| 基金项目:陕西省重点研发计划项目 |
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| 中文摘要: |
| 目的 比较观察脑膜瘤及低级别胶质瘤这两种缓慢生长的颅内肿瘤的运动功能网络的动态连接差异性 方法 分别筛选病灶位于主要运动皮层的低级别胶质瘤、脑膜瘤患者各14例与14名正常对照者进行研究比较，所有受试者均为右利手并经过运动任务刺激来明确运动网络三个主要节点。采用小波变换一致性方法来分析受试者的运动网络动态链接改变。三组之间统计学分析比较采用单因素方差分析进行比较。结果 小波变换一致性分析在双侧主要运动皮层及辅助运动皮层之间进行比较，动态功能连接分析结果表明，低级别胶质瘤组与脑膜瘤组的运动功能网络连接与正常组相比，动态一致性均下降。当胶质瘤组与脑膜瘤组进行组间比较是，胶质瘤组的动态一致性要显著低于脑膜瘤组。结论 利用小波变换方法能够进一步的观察不同病理类型肿瘤的低频振荡的改变与大脑功能可塑性之间的关系，从而为临床下一步治疗提供帮助。 |
| 英文摘要: |
| [Abstract] Objective Comparison of dynamic connectivity differences in motor function networks between meningioma and low-grade glioma. Methods 14 patients with low grade gliomas, 14 patients with meningioma and 14 healthy controls participated in this study. All subjects are right-handed, and conducted handgrip task to identify the 3 key regions in motor network. The analysis of variance (ANOVA) was used for multiple comparison of low frequency fluctuation coherence in the three groups. A probability (P) value of <0.05 was considered statistically significant. Results The wavelet transform coherence was computed among bilateral PMC ROIs and the SMA ROI. Our results demonstrated prominent group differences of WTC of LPMC-RPMC, LPMC-SMA, RPMC-SMA between healthy controls and patients with brain tumors. A decreased tendency was found in both tumor groups compared to controls. In addition, the value of WTC in patients with gliomas was significantly lower than that in patients with meningioma. Conclusion Although both classified as slow-growing intracranial space-occupying lesions, low grade gliomas and meningioma dynamically affect the functional connectivity in motor network. WTC is a sensitive method for detecting dynamic functional connectivity alteration in patients with different types of tumor in or near motor region, and could help to further understand motor plasticity caused by different tumor histopathology. In addition, WTC could provide new insights into treatment for different types of tumor in clinical neurosurgery. |
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