Adolescent Brain Cognitive Development (ABCD) Community MRI Collection and Utilities
Feczko, E.; Conan, G.; Marek, S.; Tervo-Clemens, B.; Cordova, M.; Doyle, O.; Earl, E.; Perrone, A.; Sturgeon, D.; Klein, R.; Harman, G.; Kilamovich, D.; Hermosillo, R.; Miranda-Dominguez, O.; Adebimpe, A.; Bertolero, M.; Cieslak, M.; Covitz, S.; Hendrickson, T.; Juliano, A. C.; Snider, K.; Moore, L. A.; Uriartel, J.; Graham, A. M.; Calabro, F.; Rosenberg, M. D.; Rapuano, K. M.; Casey, B.; Watts, R.; Hagler, D.; Thompson, W. K.; Nichols, T. E.; Hoffman, E.; Luna, B.; Garavan, H.; Satterthwaite, T. D.; Feldstein Ewing, S.; Nagel, B.; Dosenbach, N. U.; Fair, D. A.
Show abstract
The Adolescent Brain Cognitive Development Study (ABCD), a 10 year longitudinal neuroimaging study of the largest population based and demographically distributed cohort of 9-10 year olds (N=11,877), was designed to overcome reproducibility limitations of prior child mental health studies. Besides the fantastic wealth of research opportunities, the extremely large size of the ABCD data set also creates enormous data storage, processing, and analysis challenges for researchers. To ensure data privacy and safety, researchers are not currently able to share neuroimaging data derivatives through the central repository at the National Data Archive (NDA). However, sharing derived data amongst researchers laterally can powerfully accelerate scientific progress, to ensure the maximum public benefit is derived from the ABCD study. To simultaneously promote collaboration and data safety, we developed the ABCD-BIDS Community Collection (ABCC), which includes both curated processed data and software utilities for further analyses. The ABCC also enables researchers to upload their own custom-processed versions of ABCD data and derivatives for sharing with the research community. This NeuroResource is meant to serve as the companion guide for the ABCC. In section we describe the ABCC. Section II highlights ABCC utilities that help researchers access, share, and analyze ABCD data, while section III provides two exemplar reproducibility analyses using ABCC utilities. We hope that adoption of the ABCCs data-safe, open-science framework will boost access and reproducibility, thus facilitating progress in child and adolescent mental health research.
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