School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.
Department of Neurosurgery, Clinical Neuroscience Center Comprehensive Epilepsy Unit, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Hum Brain Mapp. 2023 Dec 1;44(17):5953-5971. doi: 10.1002/hbm.26487. Epub 2023 Sep 18.
The evolution of magnetic susceptibility of the brain is mainly determined by myelin in white matter (WM) and iron deposition in deep gray matter (DGM). However, existing imaging techniques have limited abilities to simultaneously quantify the myelination and iron deposition within a voxel throughout brain development and aging. For instance, the temporal trajectories of iron in the brain WM and myelination in DGM have not been investigated during the aging process. This study aimed to map the age-related iron and myelin changes in the whole brain, encompassing myelin in DGM and iron deposition in WM, using a novel sub-voxel quantitative susceptibility mapping (QSM) method. To achieve this, a cohort of 494 healthy adults (18-80 years old) was studied. The sub-voxel QSM method was employed to obtain the paramagnetic and diamagnetic susceptibility based on the approximated map from acquired map. The linear relationship between and maps was established from the regression coefficients on a small cohort data acquired with both 3D gradient recalled echo data and mapping. Large cohort sub-voxel susceptibility maps were used to create longitudinal and age-specific atlases via group-wise registration. To explore the differential developmental trajectories in the DGM and WM, we employed nonlinear models including exponential and Poisson functions, along with generalized additive models. The constructed atlases reveal the iron accumulation in the posterior part of the putamen and the gradual myelination process in the globus pallidus with aging. Interestingly, the developmental trajectories show that the rate of myelination differs among various DGM regions. Furthermore, the process of myelin synthesis is paralleled by an associated pattern of iron accumulation in the primary WM fiber bundles. In summary, our study offers significant insights into the distinctive developmental trajectories of iron in the brain's WM and myelination/demyelination in the DGM in vivo. These findings highlight the potential of using sub-voxel QSM to uncover new perspectives in neuroscience and improve our understanding of whole-brain myelination and iron deposit processes across the lifespan.
大脑磁化率的演变主要由白质(WM)中的髓鞘和深部灰质(DGM)中的铁沉积决定。然而,现有的成像技术在定量量化大脑发育和老化过程中体素内的髓鞘和铁沉积方面能力有限。例如,在大脑 WM 中的铁和 DGM 中的髓鞘在老化过程中的时间轨迹尚未被研究。本研究旨在使用新的亚体素定量磁化率映射(QSM)方法,绘制全脑与年龄相关的铁和髓鞘变化图,包括 DGM 中的髓鞘和 WM 中的铁沉积。为了实现这一目标,研究了 494 名健康成年人(18-80 岁)的队列。使用亚体素 QSM 方法,基于近似图从获得的图中获得顺磁和抗磁性磁化率。从小队列数据的回归系数建立 3D 梯度回波数据和 映射的线性关系。使用大队列亚体素磁化率图,通过群组注册创建纵向和年龄特异性图谱。为了探索 DGM 和 WM 中的差异发育轨迹,我们使用了包括指数和泊松函数在内的非线性模型,以及广义加性模型。构建的图谱揭示了壳核后部铁的积累以及苍白球随年龄增长的逐渐髓鞘化过程。有趣的是,发育轨迹表明,不同 DGM 区域的髓鞘化速度不同。此外,髓鞘合成过程伴随着初级 WM 纤维束中与之相关的铁积累模式。总之,本研究深入了解了大脑 WM 中的铁和 DGM 中的髓鞘化/脱髓鞘的独特发育轨迹。这些发现突出了使用亚体素 QSM 揭示神经科学新视角并提高对整个生命周期全脑髓鞘和铁沉积过程的理解的潜力。