Daianu Madelaine, Mendez Mario F, Baboyan Vatche G, Jin Yan, Melrose Rebecca J, Jimenez Elvira E, Thompson Paul M
Imaging Genetics Center, Mark & Mary Stevens Institute for Neuroimaging & Informatics, University of Southern California, Marina del Rey, CA, USA.
Department of Neurology, UCLA School of Medicine, Los Angeles, CA, USA.
Brain Imaging Behav. 2016 Dec;10(4):1038-1053. doi: 10.1007/s11682-015-9458-5.
Cortical and subcortical nuclei degenerate in the dementias, but less is known about changes in the white matter tracts that connect them. To better understand white matter changes in behavioral variant frontotemporal dementia (bvFTD) and early-onset Alzheimer's disease (EOAD), we used a novel approach to extract full 3D profiles of fiber bundles from diffusion-weighted MRI (DWI) and map white matter abnormalities onto detailed models of each pathway. The result is a spatially complex picture of tract-by-tract microstructural changes. Our atlas of tracts for each disease consists of 21 anatomically clustered and recognizable white matter tracts generated from whole-brain tractography in 20 patients with bvFTD, 23 with age-matched EOAD, and 33 healthy elderly controls. To analyze the landscape of white matter abnormalities, we used a point-wise tract correspondence method along the 3D profiles of the tracts and quantified the pathway disruptions using common diffusion metrics - fractional anisotropy, mean, radial, and axial diffusivity. We tested the hypothesis that bvFTD and EOAD are associated with preferential degeneration in specific neural networks. We mapped axonal tract damage that was best detected with mean and radial diffusivity metrics, supporting our network hypothesis, highly statistically significant and more sensitive than widely studied fractional anisotropy reductions. From white matter diffusivity, we identified abnormalities in bvFTD in all 21 tracts of interest but especially in the bilateral uncinate fasciculus, frontal callosum, anterior thalamic radiations, cingulum bundles and left superior longitudinal fasciculus. This network of white matter alterations extends beyond the most commonly studied tracts, showing greater white matter abnormalities in bvFTD versus controls and EOAD patients. In EOAD, network alterations involved more posterior white matter - the parietal sector of the corpus callosum and parahipoccampal cingulum bilaterally. Widespread but distinctive white matter alterations are a key feature of the pathophysiology of these two forms of dementia.
在痴呆症中,皮质和皮质下核会发生退化,但对于连接它们的白质束的变化了解较少。为了更好地理解行为变异型额颞叶痴呆(bvFTD)和早发性阿尔茨海默病(EOAD)中的白质变化,我们采用了一种新颖的方法,从扩散加权磁共振成像(DWI)中提取纤维束的完整三维轮廓,并将白质异常映射到每条通路的详细模型上。结果呈现出一幅逐束微观结构变化的空间复杂图景。我们针对每种疾病构建的束图谱由21条解剖学上聚类且可识别的白质束组成,这些白质束来自对20例bvFTD患者、23例年龄匹配的EOAD患者以及33名健康老年对照进行的全脑纤维束成像。为了分析白质异常的情况,我们沿着束的三维轮廓采用逐点束对应方法,并使用常见的扩散指标——分数各向异性、平均扩散率、径向扩散率和轴向扩散率来量化通路的破坏情况。我们检验了bvFTD和EOAD与特定神经网络中优先退化相关的假设。我们绘制了通过平均扩散率和径向扩散率指标能最佳检测到的轴突束损伤情况,这支持了我们的网络假设,具有高度统计学显著性,并且比广泛研究的分数各向异性降低更敏感。从白质扩散率来看,我们在bvFTD的所有21条感兴趣的束中都发现了异常,尤其是在双侧钩束、额胼胝体、丘脑前辐射、扣带束和左侧上纵束。这种白质改变网络超出了最常研究的束,显示出bvFTD与对照及EOAD患者相比存在更大的白质异常。在EOAD中,网络改变涉及更多的后部白质——双侧胼胝体的顶叶部分和海马旁扣带。广泛但独特的白质改变是这两种痴呆症病理生理学的一个关键特征。