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Fine-Grained Topography and Modularity of the Macaque Frontal Pole Cortex Revealed by Anatomical Connectivity Profiles

文献类型：期刊论文

作者He, Bin6,7,8; Cao, Long7,10; Xia, Xiaoluan5,7; Zhang, Baogui7,8; Zhang, Dan3; You, Bo6; Fan, Lingzhong1,7,8,9; Jiang, Tianzi1,2,4,7,8,9,10
刊名NEUROSCIENCE BULLETIN
出版日期2020-10-27
页码20
关键词Macaque Frontal pole cortex Anatomical connectivity profile Parcellation Neuroimaging Principal component analysis
ISSN号1673-7067
DOI10.1007/s12264-020-00589-1
通讯作者You, Bo(youbo@hrbust.edu.cn) ; Fan, Lingzhong(lingzhong.fan@ia.ac.cn) ; Jiang, Tianzi(jiangtz@nlpr.ia.ac.cn)
英文摘要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.
WOS关键词PREFRONTAL CORTICAL PROJECTIONS ; DIFFUSION TRACTOGRAPHY ; ARCHITECTONIC SUBDIVISION ; FRONTOPOLAR CORTEX ; BRAIN ; PARCELLATION ; NETWORKS ; ORGANIZATION ; AREAS ; PATHWAYS
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]
WOS研究方向Neurosciences & Neurology
语种英语
WOS记录号WOS:000584623300002
出版者SPRINGER
资助机构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
源URL[http://ir.ia.ac.cn/handle/173211/41762]  
专题自动化研究所_脑网络组研究中心
通讯作者You, Bo; Fan, Lingzhong; Jiang, Tianzi
作者单位1.Univ CAS, Beijing 100049, Peoples R China
2.Chinese Inst Brain Res, Beijing 102206, Peoples R China
3.Tsinghua Univ, Ctr Biomed Anal, Core Facil, Beijing 100084, Peoples R China
4.Univ Queensland, Queensland Brain Inst, Brisbane, Qld 4072, Australia
5.Taiyuan Univ Technol, Coll Informat & Comp, Taiyuan 030600, Peoples R China
6.Harbin Univ Sci & Technol, Sch Mech & Power Engn, Harbin 150080, Peoples R China
7.Chinese Acad Sci, Brainnetome Ctr, Inst Automat, Beijing 100190, Peoples R China
8.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
9.Chinese Acad Sci, Inst Automat, Ctr Excellence Brain Sci & Intelligence Technol, Beijing 100190, Peoples R China
10.Univ Elect Sci & Technol China, Sch Life Sci & Technol, Key Lab NeuroInformat, Minist Educ, Chengdu 610054, Peoples R China
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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来源：自动化研究所

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