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Cited by 710

The DOI matches its Crossref record; 67 of the 67 references it cites were found in a registry or an index.

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

Open access
Di Martino, Adriana, O’Connor, David, Chen, Bosi, Alaerts, Kaat, Anderson, Jeffrey S., Assaf, Michal, Balsters, Joshua H., Baxter, Leslie, Beggiato, Anita, Bernaerts, Sylvie, Blanken, Laura M. E., Bookheimer, Susan Y., Braden, B. Blair, Byrge, Lisa, Castellanos, F. Xavier, Dapretto, Mirella, Delorme, Richard, Fair, Damien A., Fishman, Inna, Fitzgerald, Jacqueline, Gallagher, Louise, Keehn, R. Joanne Jao, Kennedy, Daniel P., Lainhart, Janet E., Luna, Beatriz, Mostofsky, Stewart H., Müller, Ralph-Axel, Nebel, Mary Beth, Nigg, Joel T., O’Hearn, Kirsten, Solomon, Marjorie, Toro, Roberto, Vaidya, Chandan J., Wenderoth, Nicole, White, Tonya, Craddock, R. Cameron, Lord, Catherine, Leventhal, Bennett, Milham, Michael P.·2017·Scientific Data
DOI 10.1038/sdata.2017.10
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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.

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Metadata

Authors
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., Fitzgerald, J., Gallagher, L., Keehn, R. J. J., Kennedy, D. P., Lainhart, J. E., Luna, B., Mostofsky, S. H., Müller, R.-A., Nebel, M. B., Nigg, J. T., O’Hearn, K., Solomon, M., Toro, R., Vaidya, C. J., Wenderoth, N., White, T., Craddock, R. C., Lord, C., Leventhal, B., & Milham, M. P.
Venue
Scientific Data
Publisher
Springer Science and Business Media LLC
Published
2017-03-14
Volume
4
Issue
1
Pages
170010-170010
ISSN
2052-4463 (ISSN-L)
DOI
10.1038/sdata.2017.10
OpenAlex
W2590651237
Cited by
710
References
67
Type
data paper
Language
en
Open access
gold

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