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MonkeyCBP: A Toolbox for Connectivity-Based Parcellation of Monkey Brain
He, Bin1,2,3; Yang, Zhengyi2; Fan, Lingzhong2,4; Gao, Bin2; Li, Hai2; Ye, Chuyang2; You, Bo1; Jiang, Tianzi2,3,4,5,6,7,8
发表期刊FRONTIERS IN NEUROINFORMATICS
2020-04-28
卷号14页码:15
通讯作者You, Bo(youbo@hrbust.edu.cn) ; Jiang, Tianzi(jiangtz@nlpr.ia.ac.cn)
摘要Non-human primate models are widely used in studying the brain mechanism underlying brain development, cognitive functions, and psychiatric disorders. Neuroimaging techniques, such as magnetic resonance imaging, play an important role in the examinations of brain structure and functions. As an indispensable tool for brain imaging data analysis, brain atlases have been extensively investigated, and a variety of versions constructed. These atlases diverge in the criteria based on which they are plotted. The criteria range from cytoarchitectonic features, neurotransmitter receptor distributions, myelination fingerprints, and transcriptomic patterns to structural and functional connectomic profiles. Among them, brainnetome atlas is tightly related to brain connectome information and built by parcellating the brain on the basis of the anatomical connectivity profiles derived from structural neuroimaging data. The pipeline for building the brainnetome atlas has been published as a toolbox named ATPP (A Pipeline for Automatic Tractography-Based Brain Parcellation). In this paper, we present a variation of ATPP, which is dedicated to monkey brain parcellation, to address the significant differences in the process between the two species. The new toolbox, MonkeyCBP, has major alterations in three aspects: brain extraction, image registration, and validity indices. By parcellating two different brain regions (posterior cingulate cortex) and (frontal pole) of the rhesus monkey, we demonstrate the efficacy of these alterations. The toolbox has been made public (, ). It is expected that the toolbox can benefit the non-human primate neuroimaging community with high-throughput computation and low labor involvement.
关键词parcellation brain atlas neuroimaging pipeline diffusion tractography parallel computing
DOI10.3389/fninf.2020.00014
关键词[WOS]TRACTOGRAPHY-BASED PARCELLATION ; MULTI-ATLAS SEGMENTATION ; FUNCTIONAL CONNECTIVITY ; PRINCIPAL COMPONENTS ; CORTEX ; IMAGES ; ALGORITHMS ; INTEGRITY ; SELECTION ; PATTERNS
收录类别SCI
语种英语
资助项目National Natural Science Foundation of China[31620103905] ; National Natural Science Foundation of China[81671855] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDB02030300] ; Science Frontier Program of the Chinese Academy of Sciences[QYZDJ-SSW-SMC019] ; Beijing Brain Initiative of Beijing Municipal Science & Technology Commission[Z181100001518004] ; Beijing Municipal Science & Technology Commission[Z161100000216139]
项目资助者National Natural Science Foundation of China ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Science Frontier Program of the Chinese Academy of Sciences ; Beijing Brain Initiative of Beijing Municipal Science & Technology Commission ; Beijing Municipal Science & Technology Commission
WOS研究方向Mathematical & Computational Biology ; Neurosciences & Neurology
WOS类目Mathematical & Computational Biology ; Neurosciences
WOS记录号WOS:000533397200001
出版者FRONTIERS MEDIA SA
七大方向——子方向分类脑网络分析
引用统计
被引频次:3[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/39441
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; Jiang, Tianzi
作者单位1.Harbin Univ Sci & Technol, Sch Mech & Power Engn, Harbin, Peoples R China
2.Chinese Acad Sci, Brainnetome Ctr, Inst Automat, Beijing, Peoples R China
3.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing, Peoples R China
4.Univ Chinese Acad Sci, Beijing, Peoples R China
5.Univ Elect Sci & Technol China, Sch Life Sci & Technol, Key Lab NeuroInformat, Minist Educ, Chengdu, Peoples R China
6.Chinese Acad Sci, CAS Ctr Excellence Brain Sci & Intelligence Techn, Inst Automat, Beijing, Peoples R China
7.Univ Queensland, Queensland Brain Inst, Brisbane, Qld, Australia
8.Chinese Inst Brain Res, Beijing, 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
推荐引用方式
GB/T 7714
He, Bin,Yang, Zhengyi,Fan, Lingzhong,et al. MonkeyCBP: A Toolbox for Connectivity-Based Parcellation of Monkey Brain[J]. FRONTIERS IN NEUROINFORMATICS,2020,14:15.
APA He, Bin.,Yang, Zhengyi.,Fan, Lingzhong.,Gao, Bin.,Li, Hai.,...&Jiang, Tianzi.(2020).MonkeyCBP: A Toolbox for Connectivity-Based Parcellation of Monkey Brain.FRONTIERS IN NEUROINFORMATICS,14,15.
MLA He, Bin,et al."MonkeyCBP: A Toolbox for Connectivity-Based Parcellation of Monkey Brain".FRONTIERS IN NEUROINFORMATICS 14(2020):15.
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