Laboratory of Neuroinformatics, Nencki Institute of Experimental Biology of the Polish Academy of Sciences, 02-093 Warsaw, Poland; Australian Research Council, Centre of Excellence for Integrative Brain Function, Monash University Node, Clayton, VIC 3800, Australia; Biomedicine Discovery Institute and Department of Physiology, Monash University, Clayton, VIC 3800, Australia.
Laboratory of Neuroinformatics, Nencki Institute of Experimental Biology of the Polish Academy of Sciences, 02-093 Warsaw, Poland.
Neuroimage. 2021 Feb 1;226:117625. doi: 10.1016/j.neuroimage.2020.117625. Epub 2020 Dec 8.
The rapid adoption of marmosets in neuroscience has created a demand for three dimensional (3D) atlases of the brain of this species to facilitate data integration in a common reference space. We report on a new open access template of the marmoset cortex (the Nencki-Monash, or NM template), representing a morphological average of 20 brains of young adult individuals, obtained by 3D reconstructions generated from Nissl-stained serial sections. The method used to generate the template takes into account morphological features of the individual brains, as well as the borders of clearly defined cytoarchitectural areas. This has resulted in a resource which allows direct estimates of the most likely coordinates of each cortical area, as well as quantification of the margins of error involved in assigning voxels to areas, and preserves quantitative information about the laminar structure of the cortex. We provide spatial transformations between the NM and other available marmoset brain templates, thus enabling integration with magnetic resonance imaging (MRI) and tracer-based connectivity data. The NM template combines some of the main advantages of histology-based atlases (e.g. information about the cytoarchitectural structure) with features more commonly associated with MRI-based templates (isotropic nature of the dataset, and probabilistic analyses). The underlying workflow may be found useful in the future development of 3D brain atlases that incorporate information about the variability of areas in species for which it may be impractical to ensure homogeneity of the sample in terms of age, sex and genetic background.
狨猴在神经科学中的迅速应用,产生了对该物种大脑三维(3D)图谱的需求,以方便在共同参考空间中进行数据整合。我们报告了一种新的狨猴皮层开放获取模板(即 Nencki-Monash 或 NM 模板),它代表了 20 个年轻成年个体大脑的形态平均值,通过对 Nissl 染色的连续切片进行 3D 重建获得。生成模板所使用的方法考虑了个体大脑的形态特征以及明确界定的细胞构筑区域的边界。这导致了一个资源,可以直接估计每个皮质区域最可能的坐标,以及量化将体素分配给区域所涉及的误差幅度,并保留有关皮质层状结构的定量信息。我们提供了 NM 和其他可用狨猴脑模板之间的空间变换,从而实现与磁共振成像(MRI)和示踪剂连接性数据的集成。NM 模板结合了基于组织学图谱的主要优点(例如,关于细胞构筑结构的信息)与更常与基于 MRI 的图谱相关的特征(数据集的各向同性性质和概率分析)。该基础工作流程将来可能会在开发 3D 脑图谱方面有用,这些图谱纳入了关于其物种中区域变异性的信息,对于这些物种,由于年龄、性别和遗传背景的同质性不切实际,因此可能无法确保样本的均匀性。