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题名:
A Connectome Computation System for discovery science of brain
作者: Ting Xu ; Yang, Zhi(杨志) ; Jiang Lili(姜黎黎) ; Xiu-Xia Xing ; Xi-Nian Zuo(左西年)
通讯作者: Xi-Nian Zuo
通讯作者邮箱: zuoxn@psych.ac.cn
学科分类: 认知神经科学
关键词: Connectome ; Life span ; Big data ; Normative charts ; Discovery science
刊名: Science Bulletin
出版日期: 2015
卷号: 60, 期号:1, 页码:86-95
原文出处: 查看原文
收录类别: SCI
心理所排序: 1
项目名称: National 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
中文摘要: Much 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.
语种: 英语
DOI标识: 10.1007/s11434-014-0698-3
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内容类型: 期刊论文
URI标识: http://ir.psych.ac.cn/handle/311026/10184
Appears in Collections:认知与发展心理学研究室_期刊论文

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Recommended Citation:
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.
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