摘要
The Connectome Computation System(CCS)was previously reported in the Science Bulletin[1].Here,we describe a summary of the 6-year CCS updates(2015–2021),which are accessible at https://github.com/zuoxinian/CCS.These updates contain many utilities of mining developmental neuroimaging data.Specifically,H1 module covers the data cleaning and preprocessing and refines the implementations of face-masking,brain extraction,denoising,and frequency banding.
作者
Xiu-Xia Xing
Ting Xu
Chao Jiang
Yin-Shan Wang
Xi-Nian Zuo
邢秀侠;徐婷;蒋超;王银山;左西年(Department of Applied Mathematics,College of Mathematics,Faculty of Science,Beijing University of Technology,Beijing 100124,China;Center for the Developing Brain,Child Mind Institute,NY 10022,USA;School of Psychology,Capital Normal University,Beijing 100048,China;State Key Laboratory of Cognitive Neuroscience and Learning,Beijing Normal University,Beijing 100875,China;National Basic Science Data Center,Beijing 100190,China;Developmental Population Neuroscience Research Center,IDG/McGovern Institute for Brain Research,Beijing Normal University,Beijing 100875,China)
基金
supported by the Startup Funds for Leading Talents at Beijing Normal University
the National Basic Science Data Center‘Chinese Data-sharing Warehouse for In-vivo Imaging Brain’(NBSDC-DB-15)
The neuroimaging data were provided by the HCP WU-Minn Consortium,which is funded by the 16 NIH institutes
centers that support the NIH Blueprint for Neuroscience Research 1U54MH091657(principal investigators:David Van Essen and Kamil Ugurbil)
the McDonnell Center for Systems Neuroscience at Washington University。
