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Exploratory study of the effect of brain tumors on the default mode network

机译:脑肿瘤对默认模式网络影响的探索性研究

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摘要

Resting state functional magnetic resonance imaging (RS-fMRI) is a popular method of visualizing functional networks in the brain. One of these networks, the default mode network (DMN), has exhibited altered connectivity in a variety of pathological states, including brain tumors. However, very few studies have attempted to link the effect of tumor localization, type and size on DMN connectivity. We collected RS-fMRI data in 73 patients with various brain tumors and attempted to characterize the different effects these tumors had on DMN connectivity based on their location, type and size. This was done by comparing the tumor patients with healthy controls using independent component analysis (ICA) and seed based analysis. We also used a multi-seed approach described in the paper to account for anatomy distortion in the tumor patients. We found that tumors in the left hemisphere had the largest effect on DMN connectivity regardless of their size and type, while this effect was not observed for right hemispheric tumors. Tumors in the cerebellum also had statistically significant effects on DMN connectivity. These results suggest that DMN connectivity in the left side of the brain may be more fragile to insults by lesions.
机译:静止状态功能磁共振成像(RS-fMRI)是一种可视化大脑功能网络的流行方法。这些网络之一是默认模式网络(DMN),在包括脑肿瘤在内的各种病理状态下都表现出改变的连接性。但是,很少有研究试图将肿瘤定位,类型和大小对DMN连接性的影响联系起来。我们收集了73例患有各种脑部肿瘤的患者的RS-fMRI数据,并试图根据其位置,类型和大小来表征这些肿瘤对DMN连接性的不同影响。这是通过使用独立成分分析(ICA)和基于种子的分析将肿瘤患者与健康对照进行比较而完成的。我们还使用了本文所述的多种子方法来说明肿瘤患者的解剖畸变。我们发现左半球肿瘤对DMN连接性的影响最大,无论其大小和类型如何,而右半球肿瘤未观察到这种影响。小脑肿瘤对DMN的连通性也有统计学上的显着影响。这些结果表明,大脑左侧的DMN连接可能更容易受到损害。

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