Neuroanatomical patterns of cerebral white matter involvement in different motor neuron diseases as studied by diffusion tensor imaging analysis

Neuroanatomical patterns of cerebral white matter involvement in different motor neuron diseases as studied by diffusion tensor imaging analysis
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DOI:
10.3109/17482968.2011.653571
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发表时间:
2012-05-01
影响因子:
--
通讯作者:
Kassubek, Jan
Kassubek, Jan
中科院分区:
其他
文献类型:
--
作者:
Mueller, Hans-Peter;Unrath, Alexander;Kassubek, Jan

文献摘要

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本研究旨在利用弥散张量成像(DTI)研究不同运动神经元疾病(MND)患者脑白质(WM)受累模式的差异。弥散张量成像在ALS(n=20)、原发性侧索硬化症(n=20)、单纯遗传性痉挛截瘫(HSP)(n=20)和复杂性HSP(n=12)中获得。数据分析是通过组水平的分数各向异性(FA)图的体素比较以及伴随着局部分数各向异性统计的感兴趣区域(ROI)中的纤维跟踪来执行的。DTI分析揭示了广泛的改变模式,主要是运动系统的恶化。这些改变不仅包括皮质脊髓束(CST),而且还包括穹隆体部(CC)的不同区域,特别是其运动III段。综上所述,基于全脑和基于束的DTI分析能够定义不同MND的不同的WM病理解剖。这些结果可以作为识别基于MRI的参数的额外指导,通过显示CST和CC的一致受累,在一系列临床不同的疾病中,病理程度不同。对于MND中MRI诊断的潜在未来发展,(也许是多参数的)基于ROI的方法应该包括CST和CC运动节段。
This study was designed to investigate differences of white matter (WM) involvement patterns in various motor neuron disorders (MND) by use of diffusion tensor imaging (DTI). DTI was acquired in ALS (n = 20), primary lateral sclerosis (n = 20), pure hereditary spastic paraparesis (HSP) (n = 20), and complicated HSP (n = 12). The data analysis was performed by voxelwise comparison of fractional anisotropy (FA) maps at group level together with fibre tracking in regions of interest (ROI) accompanied by tractwise fractional anisotropy statistics. DTI analysis revealed widespread patterns of alterations with a predominant deterioration of the motor system. These alterations encompassed, as the key structures, not only the corticospinal tracts (CST) but also distinct areas of the corpus callosum (CC), in particular its motor segment III. In conclusion, whole brain-based and tract-based DTI analysis was able to define a distinct WM pathoanatomy of different MND. These results may serve as an additional guidance in the identification of MRI-based parameters by showing a consistent CST and CC involvement, with differences in the extent of pathology, across a range of clinically different disorders. For potential future developments in MRI diagnostics in MND, a (perhaps multiparametric) ROI-based approach should include CST and the CC motor segment.