Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, USA.
Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Aging Cell. 2024 Nov;23(11):e14267. doi: 10.1111/acel.14267. Epub 2024 Aug 8.
The human brain undergoes age-related microstructural alterations across the lifespan. Soma and Neurite Density Imaging (SANDI), a novel biophysical model of diffusion MRI, provides estimates of cell body (soma) radius and density, and neurite density in gray matter. The goal of this cross-sectional study was to assess the sensitivity of high-gradient diffusion MRI toward age-related alterations in cortical microstructure across the adult lifespan using SANDI. Seventy-two cognitively unimpaired healthy subjects (ages 19-85 years; 40 females) were scanned on the 3T Connectome MRI scanner with a maximum gradient strength of 300mT/m using a multi-shell diffusion MRI protocol incorporating 8 b-values and diffusion time of 19 ms. Intra-soma signal fraction obtained from SANDI model-fitting to the data was strongly correlated with age in all major cortical lobes (r = -0.69 to -0.60, FDR-p < 0.001). Intra-soma signal fraction (r = 0.48-0.63, FDR-p < 0.001) and soma radius (r = 0.28-0.40, FDR-p < 0.04) were significantly correlated with cortical volume in the prefrontal cortex, frontal, parietal, and temporal lobes. The strength of the relationship between SANDI metrics and age was greater than or comparable to the relationship between cortical volume and age across the cortical regions, particularly in the occipital lobe and anterior cingulate gyrus. In contrast to the SANDI metrics, all associations between diffusion tensor imaging (DTI) and diffusion kurtosis imaging metrics and age were low to moderate. These results suggest that high-gradient diffusion MRI may be more sensitive to underlying substrates of neurodegeneration in the aging brain than DTI and traditional macroscopic measures of neurodegeneration such as cortical volume and thickness.
人类大脑在整个生命周期中都会经历与年龄相关的微观结构改变。Soma 和 Neurite Density Imaging(SANDI)是一种新的扩散 MRI 生物物理模型,可提供灰质中细胞体(soma)半径和密度以及神经突密度的估计值。本横断面研究的目的是使用 SANDI 评估高梯度扩散 MRI 对整个成年期皮质微观结构与年龄相关改变的敏感性。72 名认知正常的健康受试者(年龄 19-85 岁;40 名女性)在 3T Connectome MRI 扫描仪上进行扫描,最大梯度强度为 300mT/m,使用包含 8 个 b 值和扩散时间为 19ms 的多壳扩散 MRI 协议。从 SANDI 模型拟合数据中获得的细胞内信号分数与所有主要皮质叶的年龄呈强相关性(r=-0.69 至-0.60,FDR-p<0.001)。细胞内信号分数(r=0.48-0.63,FDR-p<0.001)和细胞体半径(r=0.28-0.40,FDR-p<0.04)与前额叶、额叶、顶叶和颞叶皮质体积呈显著相关。SANDI 指标与年龄之间的关系强度大于或与皮质体积与年龄之间的关系强度相当,尤其是在枕叶和前扣带回。与 SANDI 指标相反,扩散张量成像(DTI)和扩散峰度成像指标与年龄之间的所有关联均为低到中度。这些结果表明,与 DTI 和传统的神经退行性变宏观测量(如皮质体积和厚度)相比,高梯度扩散 MRI 可能对衰老大脑中的神经退行性变潜在底物更为敏感。