Lee Hong-Hsi, Tian Qiyuan, Sheft Maxina, Coronado-Leija Ricardo, Ramos-Llorden Gabriel, Abdollahzadeh Ali, Fieremans Els, Novikov Dmitry S, Huang Susie Y
Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, Massachusetts, USA.
Harvard Medical School, Boston, Massachusetts, USA.
NMR Biomed. 2024 Apr;37(4):e5087. doi: 10.1002/nbm.5087. Epub 2024 Jan 2.
The increasing availability of high-performance gradient systems in human MRI scanners has generated great interest in diffusion microstructural imaging applications such as axonal diameter mapping. Practically, sensitivity to axon diameter in diffusion MRI is attained at strong diffusion weightings , where the deviation from the expected scaling in white matter yields a finite transverse diffusivity, which is then translated into an axon diameter estimate. While axons are usually modeled as perfectly straight, impermeable cylinders, local variations in diameter (caliber variation or beading) and direction (undulation) are known to influence axonal diameter estimates and have been observed in microscopy data of human axons. In this study, we performed Monte Carlo simulations of diffusion in axons reconstructed from three-dimensional electron microscopy of a human temporal lobe specimen using simulated sequence parameters matched to the maximal gradient strength of the next-generation Connectome 2.0 human MRI scanner ( 500 mT/m). We show that axon diameter estimation is accurate for nonbeaded, nonundulating fibers; however, in fibers with caliber variations and undulations, the axon diameter is heavily underestimated due to caliber variations, and this effect overshadows the known overestimation of the axon diameter due to undulations. This unexpected underestimation may originate from variations in the coarse-grained axial diffusivity due to caliber variations. Given that increased axonal beading and undulations have been observed in pathological tissues, such as traumatic brain injury and ischemia, the interpretation of axon diameter alterations in pathology may be significantly confounded.
人类磁共振成像(MRI)扫描仪中高性能梯度系统的日益普及,引发了人们对扩散微观结构成像应用(如轴突直径映射)的极大兴趣。实际上,在强扩散加权下,扩散MRI对轴突直径具有敏感性,此时白质中与预期标度的偏差会产生有限的横向扩散率,进而转化为轴突直径估计值。虽然轴突通常被建模为完美笔直、不可渗透的圆柱体,但已知直径的局部变化(管径变化或串珠状)和方向(波动)会影响轴突直径估计,并且在人类轴突的显微镜数据中也观察到了这些情况。在本研究中,我们使用与下一代Connectome 2.0人类MRI扫描仪的最大梯度强度相匹配的模拟序列参数,对从人类颞叶标本的三维电子显微镜重建的轴突中的扩散进行了蒙特卡罗模拟(500 mT/m)。我们表明,对于无串珠状、无波动的纤维,轴突直径估计是准确的;然而,在存在管径变化和波动的纤维中,由于管径变化,轴突直径被严重低估,并且这种影响掩盖了由于波动导致的已知轴突直径高估。这种意外的低估可能源于管径变化导致的粗粒度轴向扩散率的变化。鉴于在病理组织(如创伤性脑损伤和缺血)中观察到轴突串珠状和波动增加,病理学中轴突直径改变的解释可能会受到显著混淆。