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, B. Blair 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 Friedman, Roberto Toro, Chandan J. Vaidya, Nicole Wenderoth, Tonya White, R. Cameron Craddock, Catherine Lord, Bennett Leventhal, Michael P. Milham

Research output: Contribution to journalArticle

116 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
Externally publishedYes

ASJC Scopus subject areas

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

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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. 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