Cerebral Microcirculation Section, Laboratory of Functional and Molecular Imaging, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD 20892, USA.
Neurophysiology Imaging Facility, National Institute of Mental Health, National Institute of Neurological Disorders and Stroke, and National Eye Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Neuroimage. 2018 Apr 1;169:106-116. doi: 10.1016/j.neuroimage.2017.12.004. Epub 2017 Dec 5.
The common marmoset (Callithrix jacchus) is a New-World monkey of growing interest in neuroscience. Magnetic resonance imaging (MRI) is an essential tool to unveil the anatomical and functional organization of the marmoset brain. To facilitate identification of regions of interest, it is desirable to register MR images to an atlas of the brain. However, currently available atlases of the marmoset brain are mainly based on 2D histological data, which are difficult to apply to 3D imaging techniques. Here, we constructed a 3D digital atlas based on high-resolution ex-vivo MRI images, including magnetization transfer ratio (a T1-like contrast), T2w images, and multi-shell diffusion MRI. Based on the multi-modal MRI images, we manually delineated 54 cortical areas and 16 subcortical regions on one hemisphere of the brain (the core version). The 54 cortical areas were merged into 13 larger cortical regions according to their locations to yield a coarse version of the atlas, and also parcellated into 106 sub-regions using a connectivity-based parcellation method to produce a refined atlas. Finally, we compared the new atlas set with existing histology atlases and demonstrated its applications in connectome studies, and in resting state and stimulus-based fMRI. The atlas set has been integrated into the widely-distributed neuroimaging data analysis software AFNI and SUMA, providing a readily usable multi-modal template space with multi-level anatomical labels (including labels from the Paxinos atlas) that can facilitate various neuroimaging studies of marmosets.
普通狨猴（Callithrix jacchus）是神经科学领域中日益受到关注的新世界猴。磁共振成像（MRI）是揭示狨猴大脑解剖和功能组织的重要工具。为了方便确定感兴趣的区域，将 MRI 图像注册到大脑图谱是很有必要的。然而，目前可用的狨猴大脑图谱主要基于 2D 组织学数据，这些数据难以应用于 3D 成像技术。在这里，我们构建了一个基于高分辨率离体 MRI 图像的 3D 数字图谱，包括磁化传递率（一种 T1 样对比）、T2w 图像和多壳扩散 MRI。基于多模态 MRI 图像，我们在大脑的一个半球（核心版本）上手动描绘了 54 个皮质区域和 16 个皮质下区域。这 54 个皮质区域根据其位置合并为 13 个更大的皮质区域，生成图谱的粗略版本，也使用基于连接性的分区方法将其细分为 106 个亚区，生成精细化的图谱。最后，我们将新图谱集与现有的组织学图谱进行了比较，并展示了它在连接组学研究以及静息态和基于刺激的 fMRI 中的应用。该图谱集已集成到广泛分布的神经影像学数据分析软件 AFNI 和 SUMA 中，提供了一个具有多层次解剖学标签（包括 Paxinos 图谱的标签）的易于使用的多模态模板空间，可促进狨猴的各种神经影像学研究。
