The 3C-Brain Project

Dear Colleagues,

We are here to announce the launch of the 3C-Brain project. It aims to build an integrated open-source platform for sharing codes, raw and preprocessed brain images as well as targeted analyzed outcomes for deciphering normative trajectories of the human brain function across the lifespan.

There are three key components of facilitating a success in such a long-term effort. The first calls a set of neuroimaging markers with high test-retest reliability and reproducibility for characterizing the human brain function. The second is a well-developed computational pipeline to implementing quantitative metrics of these brain markers reliably and precisely. The third needs a big data of the richly sampled lifespan neuroimaging and neurocognitive data across the whole country, which is comprehensively achieved with a top-down design for modeling growth and ageing curves as well as those of the relatively stable but still highly plastic periods of the middle stage of the human lifespan.

As illustrated in the above 3C-Brain figure, the 3C-Brain project is expected to establish the above three key components. Specifically, the Consortium for Reliability and Reproducibility (CoRR: component 1) is initiated to provide an open resource for establishing test-retest reliability and reproducibility in functional connectomics. The Connectome Computation System (CCS: component 2) offers an integrated functional connectomics pipeline for discovery sciences of the human brain function. The Chinese Color Nest Project (CCNP: component 3) assembles longitudinal data samples of Chinese brains across the human lifespan.

At the present, as an example of data sharing, with an updated CCS release (coming soon at GITHUB), it is making ~800 GB fully preprocessed multimodal (T1/DTI/rfMRI) images (both surface and volume) publicly accessible to the field (see image details of a sample participant). This particularly interesting dataset contains 300 MRI sessions from 30 healthy participants who were scanned every three days for one month. More data from CoRR, NKI-RS and CCNP will be openly shared soon, please join us, enjoying the open data shared by the 3C-Brain project. Stay with us and come back!


Best Regards,

Xi-Nian Zuo, Ph.D.

Principal Investigator

Institute of Psychology, Chinese Academy of Sciences

16 Lincui Road, Chaoyang District, Beijing 100101, China


Or use FTP software: Host: Username: ftpdownload Password: FTPDownload Path: /sharing/3C-BrainProject/


Ten Key 3C-Brain References

[2016] He Y, Xu T, Zhang W, Zuo XN. Lifespan anxiety is reflected in intrinsic amygdala cortical connectivity. Human Brain Mapping. 37(3): 1178-1193.

[2015] Chen B, Xu T, Zhou C, Wang L, Yang N, Wang Z, Dong HM, Yang Z, Zang YF, Zuo XN, Weng XC. Individual variability and test-retest reliability revealed by ten repeated resting state brain scans over one month. PLoS One. 10(12): e0144963.

[2015] Wang J, Yang N, Liao W, Zhang H, Yan CG, Zang YF, Zuo XN. Dorsal anterior cingulate cortex in typically developing children: Laterality analysis. Developmental Cognitive Neuroscience. 15: 117-129.

[2015] Jiang L, Xu T, He Y, Hou XH, Wang J, Cao XY, Wei GX, Yang Z, He Y, Zuo XN. Toward neurobiological characterization of functional homogeneity in the human cortex: Regional variation, morphological association and functional covariance network organization. Brain Structure and Function. 220: 2485-2507.

[2015] Xu T, Yang Z, Jiang L, Xing XX, Zuo XN. A Connectome Computation System (CCS) for discovery science of brain. Science Bulletin. 60(1): 86-95.

[2014] Zuo XN, Anderson JS, Bellec P, Birn RM, Biswal BB, Blautzik J, Breitner JCS, Buckner RL, Calhoun VD, Castellanos FX, Chen A, Chen B, Chen J, Chen X, Colcombe SJ, Courtney W, Craddock RC, Di Martino A, Dong HM, Fu X, Gong Q, Gorgolewski KJ, Han Y, He Y, He Y, Ho E, Holmes A, Hou XH, Huckins J, Jiang T, Jiang Y, Kelley W, Kelly C, King M, LaConte SM, Lainhart JE, Lei X, Li HJ, Li K, Li K, Lin Q, Liu D, Liu J, Liu X, Liu Y, Lu G, Lu J, Luna B, Luo J, Lurie D, Mao Y, Margulies DS, Mayer AR, Meindl T, Meyerand ME, Nan W, Nielsen JA, O'Connor D, Paulsen D, Prabhakaran V, Qi Z, Qiu J, Shao C, Shehzad Z, Tang W, Villringer A, Wang H, Wang K, Wei D, Wei GX, Weng XC, Wu X, Xu T, Yang N, Yang Z, Zang YF, Zhang L, Zhang Q, Zhang Z, Zhang Z, Zhao K, Zhen Z, Zhou Y, Zhu XT, Milham MP. An open science resource for establishing reliability and reproducibility in functional connectomics. Nature Scientific Data. 1: 140049.

[2014] Zuo XN, Xing XX. Test-retest reliabilities of resting-state FMRI measurements in human brain functional connectomics: A systems neuroscience perspective. Neuroscience & Biobehavioral Reviews. 45: 100-118.

[2014] Yang Z, Chang C, Xu T, Jiang L, Handwerker DA, Castellanos FX, Milham MP, Bandettini PA, Zuo XN. Connectivity trajectory across lifespan differentiates the precuneus from the default network. NeuroImage. 89: 45-56.

[2013] Zuo XN, Xu T, Jiang L, Yang Z, Cao XY, He Y, Zang YF, Castellanos FX, Milham MP. Toward reliable characterization of functional homogeneity in the human brain: Preprocessing, scan duration, imaging resolution and computational space. NeuroImage. 65(1): 374-386.

[2012] Zuo XN, Ehmke R, Mennes M,Imperati D, Castellanos FX, Sporns O, Milham MP. Network centrality in the human functional connectome. Cerebral Cortex. 22(8): 1862-1875.


Founding Sources Contributing to 3C-Brain

National Basic Research Program (973) of China, Natural Science Foundation of China, Chinese Academy of Sciences, Beijing Municipal Science & Technology Commission