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颞叶癫痫的弥散张量成像基于体素的形态测量学和基于束流的空间统计学分析。

Tract based spatial statistical analysis and voxel based morphometry of diffusion indices in temporal lobe epilepsy.

机构信息

Control and Intelligent Processing Center of Excellence, School of Electrical and Computer Engineering, University of Tehran, Iran.

出版信息

Comput Biol Med. 2011 Dec;41(12):1082-91. doi: 10.1016/j.compbiomed.2011.05.006. Epub 2011 May 25.

Abstract

White matter (WM) microstructure can be evaluated by diffusion tensor imaging (DTI). Tract-based spatial statistical (TBSS) analysis provides a means of assessing alterations in WM tracts. In this paper, both voxel-based morphometry (VBM) and TBSS are examined using DTI data of temporal lobe epilepsy (TLE) patients and nonepileptic subjects. In addition to fractional anisotropy (FA), ellipsoidal area ratio (EAR) is used in this study. Significant reductions of FA and EAR are identified by TBSS in the parahippocampal white matter. Because of methodological differences, TBSS detects more localized abnormalities than VBM, while the EAR is more sensitive to WM alteration than FA.

摘要

脑白质(WM)的微观结构可以通过弥散张量成像(DTI)进行评估。基于束的空间统计(TBSS)分析提供了一种评估 WM 束变化的方法。在本文中,我们使用颞叶癫痫(TLE)患者和非癫痫患者的 DTI 数据,分别对基于体素的形态测量学(VBM)和 TBSS 进行了检查。除了各向异性分数(FA)之外,本研究还使用了椭圆面积比(EAR)。TBSS 在海马旁白质中发现 FA 和 EAR 显著降低。由于方法学的差异,TBSS 比 VBM 检测到更局限的异常,而 EAR 比 FA 更敏感地反映 WM 的变化。

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