Enhancing studies of the connectome in autism using the autism brain imaging data exchange II

Adriana Di Martino, David O'Connor, Bosi Chen, Kaat Alaerts, Jeffrey S. Anderson, Michal Assaf, Joshua H. Balsters, Leslie Baxter, Anita Beggiato, Sylvie Bernaerts, Laura M E Blanken, Susan Y. Bookheimer, Brittany Braden, Lisa Byrge, F. Xavier Castellanos, Mirella Dapretto, Richard Delorme, Damien A. Fair, Inna Fishman, Jacqueline FitzgeraldLouise Gallagher, R. Joanne Jao Keehn, Daniel P. Kennedy, Janet E. Lainhart, Beatriz Luna, Stewart H. Mostofsky, Ralph Axel Müller, Mary Beth Nebel, Joel T. Nigg, Kirsten O'Hearn, Marjorie Solomon, Roberto Toro, Chandan J. Vaidya, Nicole Wenderoth, Tonya White, R. Cameron Craddock, Catherine Lord, Bennett Leventhal, Michael P. Milham

    Research output: Contribution to journalArticle

    117 Scopus citations

    Abstract

    The second iteration of the Autism Brain Imaging Data Exchange (ABIDE II) aims to enhance the scope of brain connectomics research in Autism Spectrum Disorder (ASD). Consistent with the initial ABIDE effort (ABIDE I), that released 1112 datasets in 2012, this new multisite open-data resource is an aggregate of resting state functional magnetic resonance imaging (MRI) and corresponding structural MRI and phenotypic datasets. ABIDE II includes datasets from an additional 487 individuals with ASD and 557 controls previously collected across 16 international institutions. The combination of ABIDE I and ABIDE II provides investigators with 2156 unique cross-sectional datasets allowing selection of samples for discovery and/or replication. This sample size can also facilitate the identification of neurobiological subgroups, as well as preliminary examinations of sex differences in ASD. Additionally, ABIDE II includes a range of psychiatric variables to inform our understanding of the neural correlates of co-occurring psychopathology; 284 diffusion imaging datasets are also included. It is anticipated that these enhancements will contribute to unraveling key sources of ASD heterogeneity.

    Original languageEnglish (US)
    Article number170010
    JournalScientific Data
    Volume4
    DOIs
    StatePublished - Mar 14 2017

    ASJC Scopus subject areas

    • Statistics and Probability
    • Information Systems
    • Education
    • Computer Science Applications
    • Statistics, Probability and Uncertainty
    • Library and Information Sciences

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    Di Martino, A., O'Connor, D., Chen, B., Alaerts, K., Anderson, J. S., Assaf, M., Balsters, J. H., Baxter, L., Beggiato, A., Bernaerts, S., Blanken, L. M. E., Bookheimer, S. Y., Braden, B., Byrge, L., Castellanos, F. X., Dapretto, M., Delorme, R., Fair, D. A., Fishman, I., ... Milham, M. P. (2017). Enhancing studies of the connectome in autism using the autism brain imaging data exchange II. Scientific Data, 4, [170010]. https://doi.org/10.1038/sdata.2017.10