Lee Choong H, Holloman Mara, Salzer James L, Zhang Jiangyang
Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, New York, USA.
Department of Neuroscience and Physiology, Neuroscience Institute, New York University Grossman School of Medicine, New York, New York, USA.
NMR Biomed. 2025 May;38(5):e70025. doi: 10.1002/nbm.70025.
This study investigated the potential of combining multiple MR parameters to enhance the characterization of myelin in the mouse brain. We collected ex vivo multiparametric MR data at 7 T from control and Gli1 mice; the latter exhibit enhanced myelination at Postnatal Day 10 (P10) in the corpus callosum and cortex. The MR data included relaxivity, magnetization transfer, and diffusion measurements, each targeting distinct myelin properties. This analysis was followed by and compared to myelin basic protein (MBP) staining of the same samples. Although a majority of the MR parameters included in this study showed significant differences in the corpus callosum between the control and Gli1 mice, only T, T/T, and radial diffusivity (RD) demonstrated a significant correlation with MBP values. Based on data from the corpus callosum, partial least square regression suggested that combining T, T/T, and inhomogeneous magnetization transfer ratio could explain approximately 80% of the variance in the MBP values. Myelin predictions based on these three parameters yielded stronger correlations with the MBP values in the P10 mouse brain corpus callosum than any single MR parameter. In the motor cortex, combining T, T/T, and radial kurtosis could explain over 90% of the variance in the MBP values at P10. This study demonstrates the utility of multiparametric MRI in improving the detection of myelin changes in the mouse brain.
本研究调查了结合多个磁共振(MR)参数以增强对小鼠脑内髓鞘特征描述的潜力。我们在7T场强下收集了对照小鼠和Gli1小鼠的离体多参数MR数据;后者在出生后第10天(P10)时胼胝体和皮质的髓鞘形成增强。MR数据包括弛豫率、磁化传递和扩散测量,每项测量针对不同的髓鞘特性。此分析之后对相同样本进行了髓鞘碱性蛋白(MBP)染色并进行比较。尽管本研究中纳入的大多数MR参数在对照小鼠和Gli1小鼠的胼胝体中显示出显著差异,但只有T1、T2/T1和径向扩散率(RD)与MBP值呈现显著相关性。基于胼胝体的数据,偏最小二乘回归表明,结合T1、T2/T1和非均匀磁化传递率可以解释MBP值中约80%的方差。基于这三个参数对髓鞘的预测与P10小鼠脑胼胝体中的MBP值的相关性比任何单个MR参数都更强。在运动皮质中,结合T1、T2/T1和径向峰度可以解释P10时MBP值中超过90%的方差。本研究证明了多参数MRI在改善小鼠脑内髓鞘变化检测方面的实用性。