Knowledge Commons of Institute of Automation,CAS
Macaque Brainnetome Atlas: A multifaceted brain map with parcellation, connection, and histology | |
Lu YH(陆玉恒)1,2![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() | |
发表期刊 | Science Bulletin
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2024 | |
页码 | 1 |
摘要 | The rhesus macaque (Macaca mulatta) is a crucial experimental animal that shares many genetic, brain organizational, and behavioral characteristics with humans. A macaque brain atlas is fundamental to biomedical and evolutionary research. However, even though connectivity is vital for understanding brain functions, a connectivity-based whole-brain atlas of the macaque has not previously been made. In this study, we created a new whole-brain map, the Macaque Brainnetome Atlas (MacBNA), based on the anatomical connectivity profiles provided by high angular and spatial resolution ex vivo diffusion MRI data. The new atlas consists of 248 cortical and 56 subcortical regions as well as their structural and functional connections. The parcellation and the diffusion-based tractography were evaluated with invasive neuronal-tracing and Nissl-stained images. As a demonstrative application, the structural connectivity divergence between macaque and human brains was mapped using the Brainnetome atlases of those two species to uncover the genetic underpinnings of the evolutionary changes in brain structure. The resulting resource includes: (1) the thoroughly delineated Macaque Brainnetome Atlas (MacBNA), (2) regional connectivity profiles, (3) the postmortem high-resolution macaque diffusion and T2-weighted MRI dataset (Brainnetome-8), and (4) multi-contrast MRI, neuronal-tracing, and histological images collected from a single macaque. MacBNA can serve as a common reference frame for mapping multifaceted features across modalities and spatial scales and for integrative investigation and characterization of brain organization and function. Therefore, it will enrich the collaborative resource platform for nonhuman primates and facilitate translational and comparative neuroscience research. |
七大方向——子方向分类 | 脑网络分析 |
国重实验室规划方向分类 | 脑启发多模态智能模型与算法 |
是否有论文关联数据集需要存交 | 否 |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/56573 |
专题 | 脑图谱与类脑智能实验室_脑网络组研究 |
作者单位 | 1.Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China 2.School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China 3.University of Chinese Academy of Sciences, Beijing 100049, China 4.University of Chinese Academy of Sciences, Beijing 100049, China 5.Neuroscience Research Australia and The University of New South Wales, Sydney NSW 2031, Australia 6.Key Laboratory for NeuroInformation of the Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China 7.State Key Laboratory of Primate Biomedical Research, Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming 650500, China 8.School of Mechanical and Power Engineering, Harbin University of Science and Technology, Harbin 150080, China 9.School of Life and Environmental Sciences, Guilin University of Electronic Technology, Guilin 541004, China 10.Sino-Danish College, University of Chinese Academy of Science, Beijing 100049, China 11.Research Center for Augmented Intelligence, Zhejiang Lab, Hangzhou 311100, China 12.Xiaoxiang Institute for Brain Health and Yongzhou Central Hospital, Yongzhou 425000, China |
第一作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Lu YH,Cui Y,Cao L,et al. Macaque Brainnetome Atlas: A multifaceted brain map with parcellation, connection, and histology[J]. Science Bulletin,2024:1. |
APA | Lu YH.,Cui Y.,Cao L.,Dong ZW.,Cheng LQ.,...&Jiang TZ.(2024).Macaque Brainnetome Atlas: A multifaceted brain map with parcellation, connection, and histology.Science Bulletin,1. |
MLA | Lu YH,et al."Macaque Brainnetome Atlas: A multifaceted brain map with parcellation, connection, and histology".Science Bulletin (2024):1. |
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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
csb-2023-2681-proof.(5735KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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