Neuroimaging of Epilepsy Laboratory, McConnell Brain Imaging Center, Montreal Neurological Institute, Montreal, QC, Canada; Department of Neurosurgery, Medical Center - University of Freiburg, Freiburg, Germany.
Neuroimaging of Epilepsy Laboratory, McConnell Brain Imaging Center, Montreal Neurological Institute, Montreal, QC, Canada.
Neuroimage. 2022 Nov;263:119617. doi: 10.1016/j.neuroimage.2022.119617. Epub 2022 Sep 6.
Building precise and detailed parcellations of anatomically and functionally distinct brain areas has been a major focus in Neuroscience. Pioneer anatomists parcellated the cortical manifold based on extensive histological studies of post-mortem brain, harnessing local variations in cortical cyto- and myeloarchitecture to define areal boundaries. Compared to the cytoarchitectonic field, where multiple neuroimaging studies have recently translated this old legacy data into useful analytical resources, myeloarchitectonics, which parcellate the cortex based on the organization of myelinated fibers, has received less attention. Here, we present the neocortical surface-based myeloarchitectonic atlas based on the histology-derived maps of the Vogt-Vogt school and its 2D translation by Nieuwenhuys. In addition to a myeloarchitectonic parcellation, our package includes intracortical laminar profiles of myelin content based on Vogt-Vogt-Hopf original publications. Histology-derived myelin density mapped on our atlas demonstrated a close overlap with in vivo quantitative MRI markers for myelin and relates to cytoarchitectural features. Complementing the existing battery of approaches for digital cartography, the whole-brain myeloarchitectonic atlas offers an opportunity to validate imaging surrogate markers of myelin in both health and disease.
构建精确和详细的解剖学和功能上不同的脑区划分一直是神经科学的主要焦点。先驱解剖学家基于对死后大脑的广泛组织学研究，根据皮质细胞和髓鞘结构的局部变化来定义区域边界，对皮质流形进行了分区。与细胞构筑领域相比，最近有多项神经影像学研究将这一古老的传统数据转化为有用的分析资源，而基于髓鞘纤维组织的皮质分区的髓鞘构筑学则受到较少关注。在这里，我们基于 Vogt-Vogt 学派的组织学图谱及其由 Nieuwenhuys 进行的 2D 转化，呈现了基于皮质表面的新皮质髓鞘构筑学图谱。除了髓鞘构筑学分区外，我们的包还包括基于 Vogt-Vogt-Hopf 原始出版物的皮质内层状髓鞘含量图谱。在我们的图谱上绘制的源自组织学的髓鞘密度与体内定量 MRI 髓鞘标记物密切相关，并与细胞构筑学特征相关。该全脑髓鞘构筑学图谱补充了现有的数字制图方法，为健康和疾病中的髓鞘成像替代标志物提供了验证机会。
