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Zuo XN, Anderson JS, Bellec P, et al. An open science resource for establishing reliability and reproducibility in functional connectomics. Sci Data. 2014;1:140049doi: 10.1038/sdata.2014.49.
Zuo, X. N., Anderson, J. S., Bellec, P., Birn, R. M., Biswal, B. B., Blautzik, J., Breitner, J. C., Buckner, R. L., Calhoun, V. D., Castellanos, F. X., Chen, A., Chen, B., Chen, J., Chen, X., Colcombe, S. J., Courtney, W., Craddock, R. C., Di Martino, A., Dong, H. M., Fu, X., Gong, Q., Gorgolewski, K. J., Han, Y., He, Y., He, Y., Ho, E., Holmes, A., Hou, X. H., Huckins, J., Jiang, T., Jiang, Y., Kelley, W., Kelly, C., King, M., LaConte, S. M., Lainhart, J. E., Lei, X., Li, H. J., 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, D. S., Mayer, A. R., Meindl, T., Meyerand, M. E., Nan, W., Nielsen, J. A., 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, G. X., Weng, X. C., Wu, X., Xu, T., Yang, N., Yang, Z., Zang, Y. F., Zhang, L., Zhang, Q., Zhang, Z., Zhang, Z., Zhao, K., Zhen, Z., Zhou, Y., Zhu, X. T., & Milham, M. P. (2014). An open science resource for establishing reliability and reproducibility in functional connectomics. Scientific data, 1140049. https://doi.org/10.1038/sdata.2014.49
Zuo, Xi-Nian, et al. "An open science resource for establishing reliability and reproducibility in functional connectomics." Scientific data vol. 1 (2014): 140049. doi: https://doi.org/10.1038/sdata.2014.49
Zuo XN, Anderson JS, Bellec P, Birn RM, Biswal BB, Blautzik J, Breitner JC, 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. Sci Data. 2014 Dec 09;1:140049. doi: 10.1038/sdata.2014.49. eCollection 2014. PMID: 25977800; PMCID: PMC4421932.
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Sci Data. 2014 Dec 09;1:140049. doi: 10.1038/sdata.2014.49. eCollection 2014.

An open science resource for establishing reliability and reproducibility in functional connectomics.

Scientific data

Xi-Nian Zuo, Jeffrey S Anderson, Pierre Bellec, Rasmus M Birn, Bharat B Biswal, Janusch Blautzik, John C S Breitner, Randy L Buckner, Vince D Calhoun, F Xavier Castellanos, Antao Chen, Bing Chen, Jiangtao Chen, Xu Chen, Stanley J Colcombe, William Courtney, R Cameron Craddock, Adriana Di Martino, Hao-Ming Dong, Xiaolan Fu, Qiyong Gong, Krzysztof J Gorgolewski, Ying Han, Ye He, Yong He, Erica Ho, Avram Holmes, Xiao-Hui Hou, Jeremy Huckins, Tianzi Jiang, Yi Jiang, William Kelley, Clare Kelly, Margaret King, Stephen M LaConte, Janet E Lainhart, Xu Lei, Hui-Jie Li, Kaiming Li, Kuncheng Li, Qixiang Lin, Dongqiang Liu, Jia Liu, Xun Liu, Yijun Liu, Guangming Lu, Jie Lu, Beatriz Luna, Jing Luo, Daniel Lurie, Ying Mao, Daniel S Margulies, Andrew R Mayer, Thomas Meindl, Mary E Meyerand, Weizhi Nan, Jared A Nielsen, David O'Connor, David Paulsen, Vivek Prabhakaran, Zhigang Qi, Jiang Qiu, Chunhong Shao, Zarrar Shehzad, Weijun Tang, Arno Villringer, Huiling Wang, Kai Wang, Dongtao Wei, Gao-Xia Wei, Xu-Chu Weng, Xuehai Wu, Ting Xu, Ning Yang, Zhi Yang, Yu-Feng Zang, Lei Zhang, Qinglin Zhang, Zhe Zhang, Zhiqiang Zhang, Ke Zhao, Zonglei Zhen, Yuan Zhou, Xing-Ting Zhu, Michael P Milham

Affiliations

  1. Key Laboratory of Behavioral Science and Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences , Chaoyang, Beijing 100101, China ; Faculty of Psychology, Southwest University , Beibei, Chongqing 400715, China.
  2. Division of Neuroradiology, University of Utah , Salt Lake City, Utah 84132, USA.
  3. Unité de neuroimagerie fonctionnelle, Centre de recherche de l'institut universitaire de gériatrie de Montréal, Université de Montréal , Montreal, Quebec, Canada H3W 1W5.
  4. Department of Psychiatry, University of Wisconsin-Madison , Madison, Wisconsin 53719, USA.
  5. Department of Biomedical Engineering, New Jersey Institute of Technology , Newark, New Jersey 07102, USA.
  6. Institute of Clinical Radiology, Ludwig-Maximilians-University , 80336 Munich, Germany.
  7. Centre for Studies on Prevention of Alzheimer's Disease, Department of Psychiatry, Douglas Institute, McGill University Faculty of Medicine , Montreal, Quebec, Canada H4H 1R3.
  8. Department of Psychology, Harvard University , Cambridge, Massachussetts 02138, USA.
  9. Mind Research Network , Albuquerque, New Mexico 87106, USA.
  10. Nathan S. Kline Institute for Psychiatric Research , Orangeburg, New York 10962, USA ; Phyllis Green and Randolph C?wen Institute for Pediatric Neuroscience, the Child Study Center at NYU Langone Medical Center , New York, New York 10016, USA.
  11. Faculty of Psychology, Southwest University , Beibei, Chongqing 400715, China.
  12. Center for Cognition and Brain Disorders, Hangzhou Normal University, Gongshu , Hangzhou, Zhejiang 311121, China.
  13. Nathan S. Kline Institute for Psychiatric Research , Orangeburg, New York 10962, USA.
  14. Nathan S. Kline Institute for Psychiatric Research , Orangeburg, New York 10962, USA ; Center for the Developing Brain, Child Mind Institute , New York, New York 10022, USA.
  15. Phyllis Green and Randolph C?wen Institute for Pediatric Neuroscience, the Child Study Center at NYU Langone Medical Center , New York, New York 10016, USA.
  16. Key Laboratory of Behavioral Science and Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences , Chaoyang, Beijing 100101, China ; University of Chinese Academy of Sciences , Shijingshan, Beijing 100049, China.
  17. Key Laboratory of Behavioral Science and Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences , Chaoyang, Beijing 100101, China ; State Key Laboratory of Brain and Cognitive Science, Institute of Psychology, Chinese Academy of Sciences , Chaoyang, Beijing 100101, China.
  18. Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Wuhou , Chengdu, Sichuan 610041, China.
  19. Max Planck Research Group for Neuroanatomy & Connectivity, Max Planck Institute for Human Cognitive and Brain Sciences , 04103 Leipzig, Germany.
  20. Department of Neurology, Xuanwu Hospital, Capital Medical University , Xicheng, Beijing 100053, China.
  21. State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University , Haidian, Beijing 100875, China.
  22. Department of Psychology, Yale University , New Haven, Connecticut 06511, USA.
  23. Department of Psychological and Brain Sciences, Center for Cognitive Neuroscience, Dartmouth College , Hanover, New Hampshire 03755, USA.
  24. Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences , Haidian, Beijing 100190, China.
  25. Key Laboratory of Behavioral Science and Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences , Chaoyang, Beijing 100101, China.
  26. Virginia Tech Carilion Research Institute , Roanoke, Virginia 24016, USA.
  27. Department of Radiology, Xuanwu Hospital, Capital Medical University , Xicheng, Beijing 100053, China.
  28. Department of Medical Imaging, Jinling Hospital, School of Medicine, Nanjing University, Xuanwu , Nanjing, Jiangsu 210002, China.
  29. Department of Psychiatry, School of Medicine, University of Pittsburgh , Pittsburgh, Pennsylvania 15213, USA.
  30. Beijing Key Laboratory of Learning and Cognition, Department of Psychology, Capital Normal University , Haidian, Beijing 100048, China.
  31. Department of Neurosurgery, Huashan Hospital, Fudan University , Jingan, Shanghai 200040, China.
  32. Department of Biomedical Engineering, University of Wisconsin-Madison , Madison, Wisconsin 53705, USA.
  33. Department of Radiology, University of Wisconsin-Madison , Madison, Wisconsin 53705, USA.
  34. Department of Psychiatry, Huashan Hospital, Fudan University , Jingan, Shanghai 200021, China.
  35. Department of Radiology, Huashan Hospital, Fudan University , Jingan, Shanghai 200040, China.
  36. Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences , Leipzig 04103, Germany.
  37. Department of Psychiatry, Renmin Hospital of Wuhan University , Wuhan, Hubei 430060, China.
  38. Key Laboratory of Behavioral Science and Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences , Chaoyang, Beijing 100101, China ; Nathan S. Kline Institute for Psychiatric Research , Orangeburg, New York 10962, USA ; Center for the Developing Brain, Child Mind Institute , New York, New York 10022, USA.

PMID: 25977800 PMCID: PMC4421932 DOI: 10.1038/sdata.2014.49

Abstract

Efforts to identify meaningful functional imaging-based biomarkers are limited by the ability to reliably characterize inter-individual differences in human brain function. Although a growing number of connectomics-based measures are reported to have moderate to high test-retest reliability, the variability in data acquisition, experimental designs, and analytic methods precludes the ability to generalize results. The Consortium for Reliability and Reproducibility (CoRR) is working to address this challenge and establish test-retest reliability as a minimum standard for methods development in functional connectomics. Specifically, CoRR has aggregated 1,629 typical individuals' resting state fMRI (rfMRI) data (5,093 rfMRI scans) from 18 international sites, and is openly sharing them via the International Data-sharing Neuroimaging Initiative (INDI). To allow researchers to generate various estimates of reliability and reproducibility, a variety of data acquisition procedures and experimental designs are included. Similarly, to enable users to assess the impact of commonly encountered artifacts (for example, motion) on characterizations of inter-individual variation, datasets of varying quality are included.

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