Suppr超能文献

脑肿瘤对默认模式网络影响的探索性研究

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

作者信息

Ghumman Sukhmanjit, Fortin D, Noel-Lamy M, Cunnane S C, Whittingstall K

机构信息

Departments of Nuclear Medicine and Radiobiology, Faculty of Medicine and Health Science, Université de Sherbrooke, 12e Avenue Nord, Sherbrooke, QC, Canada.

Department of Surgery, Faculty of Medicine and Health Science, Université de Sherbrooke, 12e Avenue Nord, Sherbrooke, QC, J1H 5N4, Canada.

出版信息

J Neurooncol. 2016 Jul;128(3):437-44. doi: 10.1007/s11060-016-2129-6. Epub 2016 Apr 18.

Abstract

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.

摘要

静息态功能磁共振成像(RS-fMRI)是一种用于可视化大脑功能网络的常用方法。这些网络之一,即默认模式网络(DMN),在包括脑肿瘤在内的多种病理状态下已表现出连接性改变。然而,很少有研究尝试将肿瘤定位、类型和大小对DMN连接性的影响联系起来。我们收集了73例患有各种脑肿瘤患者的RS-fMRI数据,并试图根据肿瘤的位置、类型和大小来描述这些肿瘤对DMN连接性的不同影响。这是通过使用独立成分分析(ICA)和基于种子点的分析,将肿瘤患者与健康对照进行比较来完成的。我们还使用了本文中描述的多种子点方法来考虑肿瘤患者的解剖结构畸变。我们发现,无论肿瘤大小和类型如何,左半球的肿瘤对DMN连接性的影响最大,而右半球肿瘤则未观察到这种影响。小脑的肿瘤对DMN连接性也有统计学上的显著影响。这些结果表明,大脑左侧的DMN连接性可能对病变损伤更为脆弱。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验