Krzysztof Krawiec


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Konkurs ADHD-200

The International Neuroimaging Data-Sharing Initiative (INDI) announces the public release of the "Attention Deficit Hyperactivity Disorder (ADHD)-200 Sample" via the 1000 Functional Connectomes Project.

The ADHD-200 Sample is a grassroots initiative, dedicated to accelerating the scientific community's understanding of the neural basis of ADHD through the implementation of open data-sharing and discovery-based science. Towards this goal, we are pleased to announce the unrestricted public release of 776 resting-state fMRI and anatomical datasets aggregated across 8 independent imaging sites, 491 of which were obtained from typically developing individuals and 285 in children and adolescents with ADHD (ages: 7-21 years old). Accompanying phenotypic information includes: DSM-IV diagnostic status, dimensional ADHD symptom measures, age, sex and intelligence quotient (IQ). In accordance with HIPAA guidelines and 1000 Functional Connectomes Project protocols, all datasets are fully anonymous, with no protected health information included.

The ADHD-200 sample can be found at the INDI website, located on NITRC at: http://fcon_1000.projects.nitrc.org/indi/adhd200/ . Be sure to check out additional samples being shared via INDI-Prospective ( http://fcon_1000.projects.nitrc.org/indi/IndiPro.html ) and INDI-Retrospective ( http://fcon_1000.projects.nitrc.org/indi/IndiRetro.html ), including the recent addition of the Virginia Tech Carilion Sample and the ongoing NKI-Rockland Sample which recently exceeded 100 comprehensively phenotyped participants across the lifespan.

In the near future, we will announce the availability of additional samples from throughout the world via INDI. See the following publications for initial examples of work generated using 1000 Functional Connectomes Project datasets:

1) Biswal BB, Mennes M, Zuo XN, Gohel S, Kelly C, et al. (2010) Toward discovery science of human brain function. Proc Natl Acad Sci U S A 107: 4734-4739. 2) Tomasi D, Volkow ND (2010) Functional connectivity density mapping. Proc Natl Acad Sci U S A 107: 9885-9890. 3) Zuo XN, Kelly C, Di Martino A, Mennes M, Margulies DS, et al. (2010) Growing together and growing apart: regional and sex differences in the lifespan developmental trajectories of functional homotopy. J Neurosci 30: 15034-15043. 4) McGonigle J, Majid M, Malizia A (2010) Automated detection of fMRI artefacts from Shannon entropy distributions. Proceedings of Medical Image Understanding and Analysis: 173-178. 5) Tomasi D, Volkow ND (in press) Association between Functional Connectivity Hubs and Brain Networks. Cereb Cortex.


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