The goal of the Preprocessed Connectomes Project is to systematically preprocess the data from the 1000 Functional Connectomes Project (FCP) and International Neuroimaging Data-sharing Initiative (INDI) and openly share the results. Initiated in 2011 with the ADHD-200 Preprocessed initative, the PCP has grown to include the Beijing Enhanced DTI dataset and ABIDE. To enable the comparison of different preprocessing choices and to accomodate different opinions about the best preprocessings strategies, most of the data is preprocessed using a variety of tools and parameters.
Data is currently hosted in an Amazon Web Services Public S3 Bucket and at NITRC. More information about downloading the data and about the various preprocessing pipelines and strategies employed can be found on the Datasets page. If you use PCP data in your research, please cite it in your publications along with the specific pipeline that you used. Also, please let us know about your publication so that we can add it to our list of Publications.
Assessing the quality of data and determining the data that should be excluded from an analysis due to poor quality is difficult. To help address this issue, we have developed a Quality Assessment Protocol and have calculated these metrics on the ABIDE dataset.
Please direct any comments or questions to the PCP Forum</li>. Also, please monitor the forum for updates and bug reports.
Preprocessed Connectomes Project Founders
R. Cameron Craddock1,2, Pierre Bellec3,4
R. Cameron Craddock1,2
ABIDE Preprocessed: Pierre Bellec</a>3,4, Yassine Benhajali3,6, Francois Chouinard3,8, Daniel Clark1, R. Cameron Craddock</a>1,2, Alan Evans8, Steven Giavasis1,2, Budhachandra Khundrakpam8, John Lewis8, Qingyang Li1, Zarrar Shezhad2,5, Aimi Watanabe1, Ting Xu7, Chao-Gan Yan2, Zhen Yang1,2, Xinian Zuo7, the ABIDE consortium.
ADHD-200 Preprocessed: Pierre Bellec</a>3,4, Carlton Chu, R. Cameron Craddock</a>1,2, the ADHD-200 consortium.
Beijing Enhanced DTI Preprocessed: András Jakab10,11, Yufeng Zang12, the International Neuroimaging Data-sharing Initiative (INDI).
Data sharing is made possible with the generous support of NITRC and Amazon Web Services.
1Center for the Developing Brain, Child Mind Institute</a>, New York, New York, United States of America, 2Nathan S. Kline Institute for Psychiatric Research, Orangeburg, New York, United States of America, 3Centre de recherche de l'institut de gériatrie de Montréal, Montréal, Québec, Canada, 4Départmenet d'informatique et de recherche opérationnelle, Université de Montréal, Montréal, Québec, Canada, 5Department of Pyschology, Yale University, New Haven, CT, United States of America, 6 Département d'anthropologie,Université de Montréal, Montréal, Québec, Canada, 7Laboratory for Functional Connectome and Development, China Key Laboratory of Behavioral Science, Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences, Beijing, China, 8The McConnell Brain Imaging Centre, Montreal Neurological Insitute, McGill University, Montréal, Québec, Canada, 9Phyllis Green and Randolph Co̅wen Institute for Pediatric Neuroscience at the NYU Child Study Center, New York University Langone Medical Center, New York, New York, United States of America, 10University of Debrecen, Hungary, 11Computer Vision Laboratory, ETH, Zürich, Switzerland, 12Beijing Normal University, State Key Laboratory of Cognitive Neuroscience and Learning