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A Connectome Computation System for discovery science of brain
Ting Xu; Zhi Yang; Lili Jiang; Xiu-Xia Xing; Xi-Nian Zuo
2015
Source PublicationScience Bulletin
Correspondent Emailzuoxn@psych.ac.cn
Volume60Issue:1Pages:86-95
Contribution Rank1
AbstractMuch like genomics, brain connectomics has rapidly become a core component of most national brain projects around the world. Beyond the ambitious aims of these projects, a fundamental challenge is the need for an efficient, robust, reliable and easy-to-use pipeline to mine such large neuroscience datasets. Here, we introduce a computational pipeline—namely the Connectome Computation System (CCS)—for discovery science of human brain connectomes at the macroscale with multimodal magnetic resonance imaging technologies. The CCS is designed with a three-level hierarchical structure that includes data cleaning and preprocessing, individual connectome mapping and connectome mining, and knowledge discovery. Several functional modules are embedded into this hierarchy to implement quality control procedures, reliability analysis and connectome visualization. We demonstrate the utility of the CCS based upon a publicly available dataset, the NKI–Rockland Sample, to delineate the normative trajectories of well-known large-scale neural networks across the natural life span (6–85 years of age). The CCS has been made freely available to the public via GitHub (https://github.com/zuoxinian/CCS) and our laboratory’s Web site (http://lfcd.psych.ac.cn/ccs.html) to facilitate progress in discovery science in the field of human brain connectomics.
KeywordConnectome Life span Big data Normative charts Discovery science
Subject Area认知神经科学
DOI10.1007/s11434-014-0698-3
URL查看原文
Indexed BySCI
Language英语
Funding OrganizationNational Basic Research Program; National Natural Science Foundation of China; Chinese Academy of Sciences
Funding ProjectNational Basic Research Program (973) of China (2015CB351702);the National Natural Science Foundation of China (81220108014, 81471740, 81201153, 81171409, and 81270023);;the Key Research Program (KSZD-EW-TZ-002) and the Hundred Talents Program of the Chinese Academy of Sciences
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Cited Times:46[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.psych.ac.cn/handle/311026/10184
Collection认知与发展心理学研究室
Corresponding AuthorXi-Nian Zuo
Recommended Citation
GB/T 7714
Ting Xu,Zhi Yang,Lili Jiang,et al. A Connectome Computation System for discovery science of brain[J]. Science Bulletin,2015,60(1):86-95.
APA Ting Xu,Zhi Yang,Lili Jiang,Xiu-Xia Xing,&Xi-Nian Zuo.(2015).A Connectome Computation System for discovery science of brain.Science Bulletin,60(1),86-95.
MLA Ting Xu,et al."A Connectome Computation System for discovery science of brain".Science Bulletin 60.1(2015):86-95.
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