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Fine-Grained Topography and Modularity of the Macaque Frontal Pole Cortex Revealed by Anatomical Connectivity Profiles | |
He, Bin1,2,3; Cao, Long2,5; Xia, Xiaoluan2,8; Zhang, Baogui2,3; Zhang, Dan10; You, Bo1; Fan, Lingzhong2,3,4,7; Jiang, Tianzi2,3,4,5,6,7,9 | |
发表期刊 | NEUROSCIENCE BULLETIN |
ISSN | 1673-7067 |
2020-10-27 | |
页码 | 20 |
通讯作者 | You, Bo(youbo@hrbust.edu.cn) ; Fan, Lingzhong(lingzhong.fan@ia.ac.cn) ; Jiang, Tianzi(jiangtz@nlpr.ia.ac.cn) |
摘要 | The frontal pole cortex (FPC) plays key roles in various higher-order functions and is highly developed in non-human primates. An essential missing piece of information is the detailed anatomical connections for finer parcellation of the macaque FPC than provided by the previous tracer results. This is important for understanding the functional architecture of the cerebral cortex. Here, combining cross-validation and principal component analysis, we formed a tractography-based parcellation scheme that applied a machine learning algorithm to divide the macaque FPC (2 males and 6 females) into eight subareas using high-resolution diffusion magnetic resonance imaging with the 9.4T Bruker system, and then revealed their subregional connections. Furthermore, we applied improved hierarchical clustering to the obtained parcels to probe the modular structure of the subregions, and found that the dorsolateral FPC, which contains an extension to the medial FPC, was mainly connected to regions of the default-mode network. The ventral FPC was mainly involved in the social-interaction network and the dorsal FPC in the metacognitive network. These results enhance our understanding of the anatomy and circuitry of the macaque brain, and contribute to FPC-related clinical research. |
关键词 | Macaque Frontal pole cortex Anatomical connectivity profile Parcellation Neuroimaging Principal component analysis |
DOI | 10.1007/s12264-020-00589-1 |
关键词[WOS] | PREFRONTAL CORTICAL PROJECTIONS ; DIFFUSION TRACTOGRAPHY ; ARCHITECTONIC SUBDIVISION ; FRONTOPOLAR CORTEX ; BRAIN ; PARCELLATION ; NETWORKS ; ORGANIZATION ; AREAS ; PATHWAYS |
收录类别 | SCI |
语种 | 英语 |
资助项目 | National Natural Science Foundation of China[91432302] ; National Natural Science Foundation of China[31620103905] ; Science Frontier Program of the Chinese Academy of Sciences[QYZDJ-SSW-SMC019] ; National Key R&D Program of China[2017YFA0105203] ; Beijing Municipal Science and Technology Commission[Z161100000216152] ; Beijing Municipal Science and Technology Commission[Z161100000216139] ; Beijing Municipal Science and Technology Commission[Z181100001518004] ; Beijing Municipal Science and Technology Commission[Z171100000117002] ; Beijing Brain Initiative of Beijing Municipal Science and Technology Commission[Z181100001518004] ; Guangdong Pearl River Talents Plan[2016ZT06S220] |
项目资助者 | National Natural Science Foundation of China ; Science Frontier Program of the Chinese Academy of Sciences ; National Key R&D Program of China ; Beijing Municipal Science and Technology Commission ; Beijing Brain Initiative of Beijing Municipal Science and Technology Commission ; Guangdong Pearl River Talents Plan |
WOS研究方向 | Neurosciences & Neurology |
WOS类目 | Neurosciences |
WOS记录号 | WOS:000584623300002 |
出版者 | SPRINGER |
七大方向——子方向分类 | 脑网络分析 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/41763 |
专题 | 脑图谱与类脑智能实验室_脑网络组研究 |
通讯作者 | You, Bo; Fan, Lingzhong; Jiang, Tianzi |
作者单位 | 1.Harbin Univ Sci & Technol, Sch Mech & Power Engn, Harbin 150080, Peoples R China 2.Chinese Acad Sci, Brainnetome Ctr, Inst Automat, Beijing 100190, Peoples R China 3.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China 4.Chinese Acad Sci, Inst Automat, Ctr Excellence Brain Sci & Intelligence Technol, Beijing 100190, Peoples R China 5.Univ Elect Sci & Technol China, Sch Life Sci & Technol, Key Lab NeuroInformat, Minist Educ, Chengdu 610054, Peoples R China 6.Univ Queensland, Queensland Brain Inst, Brisbane, Qld 4072, Australia 7.Univ CAS, Beijing 100049, Peoples R China 8.Taiyuan Univ Technol, Coll Informat & Comp, Taiyuan 030600, Peoples R China 9.Chinese Inst Brain Res, Beijing 102206, Peoples R China 10.Tsinghua Univ, Ctr Biomed Anal, Core Facil, Beijing 100084, Peoples R China |
第一作者单位 | 模式识别国家重点实验室 |
通讯作者单位 | 模式识别国家重点实验室; 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | He, Bin,Cao, Long,Xia, Xiaoluan,et al. Fine-Grained Topography and Modularity of the Macaque Frontal Pole Cortex Revealed by Anatomical Connectivity Profiles[J]. NEUROSCIENCE BULLETIN,2020:20. |
APA | He, Bin.,Cao, Long.,Xia, Xiaoluan.,Zhang, Baogui.,Zhang, Dan.,...&Jiang, Tianzi.(2020).Fine-Grained Topography and Modularity of the Macaque Frontal Pole Cortex Revealed by Anatomical Connectivity Profiles.NEUROSCIENCE BULLETIN,20. |
MLA | He, Bin,et al."Fine-Grained Topography and Modularity of the Macaque Frontal Pole Cortex Revealed by Anatomical Connectivity Profiles".NEUROSCIENCE BULLETIN (2020):20. |
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