铜离子螯合剂诱导胼胝体脱髓鞘中扩散峰度与白质建模指标的组织学相关性
Histological correlation of diffusional kurtosis and white matter modeling metrics in cuprizone-induced corpus callosum demyelination.
作者信息
Falangola Maria F, Guilfoyle David N, Tabesh Ali, Hui Edward S, Nie Xingju, Jensen Jens H, Gerum Scott V, Hu Caixia, LaFrancois John, Collins Heather R, Helpern Joseph A
机构信息
Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA; Center for Biomedical Imaging, Medical University of South Carolina, Charleston, SC, USA; Department of Neurosciences, Medical University of South Carolina, Charleston, SC, USA.
出版信息
NMR Biomed. 2014 Aug;27(8):948-57. doi: 10.1002/nbm.3140. Epub 2014 Jun 3.
The cuprizone mouse model is well established for studying the processes of both demyelination and remyelination in the corpus callosum, and it has been utilized together with diffusion tensor imaging (DTI) to investigate myelin and axonal pathology. Although some underlying morphological mechanisms contributing to the changes in diffusion tensor (DT) metrics have been identified, the understanding of specific associations between histology and diffusion measures remains limited. Diffusional kurtosis imaging (DKI) is an extension of DTI that provides metrics of diffusional non-Gaussianity, for which an associated white matter modeling (WMM) method has been developed. The main goal of the present study was to quantitatively assess the relationships between diffusion measures and histological measures in the mouse model of cuprizone-induced corpus callosum demyelination. The diffusional kurtosis (DK) and WMM metrics were found to provide additional information that enhances the sensitivity to detect the morphological heterogeneity in the chronic phase of the disease process in the rostral segment of the corpus callosum. Specifically, in the rostral segment, axonal water fraction (d = 2.6; p < 0.0001), radial kurtosis (d = 2.0; p = 0.001) and mean kurtosis (d = 1.5; p = 0.005) showed the most sensitivity between groups with respect to yielding statistically significant p values and high Cohen's d values. These results demonstrate the ability of DK and WMM metrics to detect white mater changes and inflammatory processes associated with cuprizone-induced demyelination. They also validate, in part, the application of these new WMM metrics for studying neurological diseases, as well as helping to elucidate their biophysical meaning.
铜螯合剂小鼠模型已被广泛用于研究胼胝体脱髓鞘和髓鞘再生过程,并且已与扩散张量成像(DTI)一起用于研究髓鞘和轴突病理学。尽管已经确定了一些导致扩散张量(DT)指标变化的潜在形态学机制,但对组织学与扩散测量之间特定关联的理解仍然有限。扩散峰度成像(DKI)是DTI的扩展,它提供了扩散非高斯性的指标,并已开发出相关的白质建模(WMM)方法。本研究的主要目的是定量评估铜螯合剂诱导的胼胝体脱髓鞘小鼠模型中扩散测量与组织学测量之间的关系。发现扩散峰度(DK)和WMM指标提供了额外的信息,增强了在胼胝体嘴侧段疾病过程慢性期检测形态异质性的敏感性。具体而言,在嘴侧段,轴突水分数(d = 2.6;p < 0.0001)、径向峰度(d = 2.0;p = 0.001)和平均峰度(d = 1.5;p = 0.005)在组间显示出最高的敏感性,具有统计学显著的p值和高的科恩d值。这些结果证明了DK和WMM指标检测与铜螯合剂诱导的脱髓鞘相关的白质变化和炎症过程的能力。它们还部分验证了这些新的WMM指标在研究神经疾病中的应用,并有助于阐明其生物物理意义。
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