Wu Dan, Zhang Yi, Cheng Bei, Mori Susumu, Reeves Roger H, Gao Feng J
Key Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, Zhejiang 310027, China.
Department of Radiology, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA.
Brain Commun. 2021 Apr 5;3(2):fcab062. doi: 10.1093/braincomms/fcab062. eCollection 2021.
The cerebellum is a complex system with distinct cortical laminar organization. Alterations in cerebellar microstructure are common and associated with many factors such as genetics, cancer and ageing. Diffusion MRI (dMRI) provides a non-invasive tool to map the brain structural organization, and the recently proposed diffusion-time ( )-dependent dMRI further improves its capability to probe the cellular and axonal/dendritic microstructures by measuring water diffusion at multiple spatial scales. The -dependent diffusion profile in the cerebellum and its utility in detecting cerebellar disorders, however, are not yet elucidated. Here, we first deciphered the spatial correspondence between dMRI contrast and cerebellar layers, based on which the cerebellar layer-specific -dependent dMRI patterns were characterized in both euploid and Ts65Dn mice, a mouse model of Down syndrome. Using oscillating gradient dMRI, which accesses diffusion at short 's by modulating the oscillating frequency, we detected subtle changes in the apparent diffusivity coefficient of the cerebellar internal granular layer and Purkinje cell layer of Ts65Dn mice that were not detectable by conventional pulsed gradient dMRI. The detection sensitivity of oscillating gradient dMRI increased with the oscillating frequency at both the neonatal and adult stages. The -dependence, quantified by ΔADC map, was reduced in Ts65Dn mice, likely associated with the reduced granule cell density and abnormal dendritic arborization of Purkinje cells as revealed from histological evidence. Our study demonstrates superior sensitivity of short- diffusion using oscillating gradient dMRI to detect cerebellar microstructural changes in Down syndrome, suggesting the potential application of this technique in cerebellar disorders.
小脑是一个具有独特皮质层状组织的复杂系统。小脑微观结构的改变很常见,且与许多因素相关,如遗传学、癌症和衰老。扩散磁共振成像(dMRI)提供了一种用于绘制脑结构组织的非侵入性工具,最近提出的依赖扩散时间( )的dMRI通过在多个空间尺度上测量水扩散,进一步提高了其探测细胞和轴突/树突微观结构的能力。然而,小脑的依赖 的扩散分布及其在检测小脑疾病中的效用尚未阐明。在这里,我们首先破译了dMRI对比度与小脑层之间的空间对应关系,在此基础上,在整倍体小鼠和唐氏综合征小鼠模型Ts65Dn中表征了小脑层特异性的依赖 的dMRI模式。使用振荡梯度dMRI,通过调节振荡频率在短 时获取扩散信息,我们检测到了Ts65Dn小鼠小脑内颗粒层和浦肯野细胞层表观扩散系数的细微变化,而这些变化是传统脉冲梯度dMRI无法检测到的。振荡梯度dMRI的检测灵敏度在新生儿期和成年期均随振荡频率增加。通过ΔADC图量化的 依赖性在Ts65Dn小鼠中降低,这可能与组织学证据显示的颗粒细胞密度降低和浦肯野细胞树突分支异常有关。我们的研究表明,使用振荡梯度dMRI进行短扩散检测在检测唐氏综合征小脑微观结构变化方面具有更高的灵敏度,表明该技术在小脑疾病中具有潜在应用价值。