Brain Imaging and Analysis Center, Duke University, 40 Duke Medicine Circle, Room 414, Durham, NC 27710, United States; Medical Physics Graduate Program, Duke University, Durham, NC, United States.
Brain Imaging and Analysis Center, Duke University, 40 Duke Medicine Circle, Room 414, Durham, NC 27710, United States; Department of Neurology, Duke University, Durham, NC, United States.
Neuroimage. 2023 Apr 15;270:119993. doi: 10.1016/j.neuroimage.2023.119993. Epub 2023 Mar 1.
High-resolution diffusion tensor imaging (DTI) can noninvasively probe the microstructure of cortical gray matter in vivo. In this study, 0.9-mm isotropic whole-brain DTI data were acquired in healthy subjects with an efficient multi-band multi-shot echo-planar imaging sequence. A column-based analysis that samples the fractional anisotropy (FA) and radiality index (RI) along radially oriented cortical columns was then performed to quantitatively analyze the FA and RI dependence on the cortical depth, cortical region, cortical curvature, and cortical thickness across the whole brain, which has not been simultaneously and systematically investigated in previous studies. The results showed characteristic FA and RI vs. cortical depth profiles, with an FA local maximum and minimum (or two inflection points) and a single RI maximum at intermediate cortical depths in most cortical regions, except for the postcentral gyrus where no FA peaks and a lower RI were observed. These results were consistent between repeated scans from the same subjects and across different subjects. They were also dependent on the cortical curvature and cortical thickness in that the characteristic FA and RI peaks were more pronounced i) at the banks than at the crown of gyri or at the fundus of sulci and ii) as the cortical thickness increases. This methodology can help characterize variations in microstructure along the cortical depth and across the whole brain in vivo, potentially providing quantitative biomarkers for neurological disorders.
高分辨率弥散张量成像(DTI)可以非侵入性地探测活体皮质灰质的微观结构。在这项研究中,使用高效的多频带多-shot 回波平面成像序列在健康受试者中获取了 0.9 毫米各向同性全脑 DTI 数据。然后,对基于柱的分析进行了采样,该分析沿放射状定向的皮质柱采样分数各向异性(FA)和放射率指数(RI),以定量分析 FA 和 RI 随皮质深度、皮质区域、皮质曲率和皮质厚度在整个大脑中的依赖性,这在以前的研究中尚未同时系统地进行过研究。结果显示,特征 FA 和 RI 与皮质深度的关系曲线具有特征性,除中央后回外,大多数皮质区域在中间皮质深度处具有 FA 局部最大值和最小值(或两个拐点)以及 RI 最大值,而中央后回则没有观察到 FA 峰和较低的 RI。这些结果在来自同一受试者的重复扫描和不同受试者之间是一致的。它们还取决于皮质曲率和皮质厚度,即特征性 FA 和 RI 峰值在 i)脑回的脑沟和脑回的基底部比 ii)在皮质厚度增加时更为明显。该方法可以帮助在体内沿皮质深度和整个大脑特征化微观结构的变化,可能为神经疾病提供定量生物标志物。