A consortium of the International Neuroimaging Datasharing Initiative (INDI), the ADHD-200 Sample is a collaboration of 8 international imaging sites that have aggregated and are openly sharing neuroimaging data from 362 children and adolescents diagnosed with ADHD and 585 typically developing controls. These 947 datasets are composed of structural and resting state functional MRI data along with phenotypic information.
In 2011, the ADHD-200 Consortium hosted a competition to identify biomarkers of attention deficit/hyperactivity disorder (ADHD) using the ADHD-200 data. The Preprocessed Connectomes Project (PCP) began as an initiative to make the competition accessible to a broader range of researchers by preprocessing the data and openly sharing the results. The data from this initiative was used by many of the participants in the competition, including the winning team, and has resulted in several publications, MS theses, PhD disertations, and even patents (see reference list).
The ADHD-200 data was preprocessed by three different teams using their preferred tools. The Athena pipeline is based on tools from the AFNI and FSL software packages, the NIAK pipeline uses the Neuroimaging Analysis Kit on CBRAIN, and the Burner pipeline performed voxel-based-morphometry processing using SPM8. The preprocessed results can be downloaded from NITRC and from an Amazon Web Services Public S3 Bucket (see download instructions).
In accordance with HIPAA guidelines and 1000 Functional Connectomes Project / INDI protocols, all datasets are anonymous, with no protected health information included.
If you use ADHD-200 preprocessed data in your research, please cite it in your publications along with the specific pipeline that you used:
Pierre Bellec, Carlton Chu, François Chouinard-Decorte, Yassine Benhajali, Daniel S. Margulies, R. Cameron Craddock (2017). The Neuro Bureau ADHD-200 Preprocessed repository. NeuroImage, 144, Part B, pp. 275 - 286. doi:10.1016/j.neuroimage.2016.06.034
Also, please let us know about your publication so that we can add it to our list of Publications.
Bash scripts that implement the Athena pipeline are available here.
Scripts that run in Matlab and Octave for the NIAK pipeline can be found here.
ADHD-200 Preprocessed Founders
R. Cameron Craddock1,2,3, Pierre Bellec1,4,5
The Athena Pipeline: R. Cameron Craddock1,2,3
The Burner Pipeline: Carlton Chu1,6
The NIAK Pipeline: Francois Chouinard-Decorte1,4,7, Pierre Bellec1,4,5
Special thanks to the members of the ADHD-200 consortium, particularly Dr. Michael Milham2,3, for their valuable advice and support.
1The Neuro Bureau,
2Center for the Developing Brain, Child Mind Institute, New York, New York, United States of America,
3Nathan S. Kline Institute for Psychiatric Research, Orangeburg, New York, United States of America,
4Centre de recherche de l'institut de gériatrie de Montréal, Montréal, Québec, Canada,
5Département d'informatique et de recherche
opérationnelle, Université de Montréal, Montréal, Québec, Canada,
6Google DeepMind, London, UK,
7The McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montréal, Québec, Canada