Image processing and analysis methods for the Adolescent Brain Cognitive Development Study

Hagler, D. J.; Hatton, S. N.; Makowski, C.; Cornejo, M. D.; Fair, D. A.; Dick, A. S.; Sutherland, M. T.; Casey, B. J.; Barch, D. M.; Harms, M. P.; Watts, R.; Bjork, J. M.; Garavan, H. P.; Hilmer, L.; Pung, C. J.; Sicat, C. S.; Kuperman, J.; Bartsch, H.; Xue, F.; Heitzeg, M. M.; Laird, A. R.; Trinh, T. T.; Gonzalez, R.; Tapert, S. F.; Riedel, M. C.; Squeglia, L. M.; Hyde, L. W.; Rosenberg, M. D.; Earl, E. A.; Howlett, K. D.; Baker, F. C.; Soules, M.; Diaz, J.; Ruiz de Leon, O.; Thompson, W. K.; Neale, M. C.; Herting, M.; Sowell, E. R.; Alvarez, R. P.; Hawes, S. W.; Sanchez, M.; Bodurka, J.; Bre

doi:10.1101/457739

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bioRxiv · 10.1101/457739

Image processing and analysis methods for the Adolescent Brain Cognitive Development Study

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Abstract

The Adolescent Brain Cognitive Development (ABCD) Study is an ongoing, nationwide study of the effects of environmental influences on behavioral and brain development in adolescents. The ABCD Study is a collaborative effort, including a Coordinating Center, 21 data acquisition sites across the United States, and a Data Analysis and Informatics Center (DAIC). The main objective of the study is to recruit and assess over eleven thousand 9-10-year-olds and follow them over the course of 10 years to characterize normative brain and cognitive development, the many factors that influence brain development, and the effects of those factors on mental health and other outcomes. The study employs state-of-the-art multimodal brain imaging, cognitive and clinical assessments, bioassays, and careful assessment of substance use, environment, psychopathological symptoms, and social functioning. The data will provide a resource of unprecedented scale and depth for studying typical and atypical development. Here, we describe the baseline neuroimaging processing and subject-level analysis methods used by the ABCD DAIC in the centralized processing and extraction of neuroanatomical and functional imaging phenotypes. Neuroimaging processing and analyses include modality-specific corrections for distortions and motion, brain segmentation and cortical surface reconstruction derived from structural magnetic resonance imaging (sMRI), analysis of brain microstructure using diffusion MRI (dMRI), task-related analysis of functional MRI (fMRI), and functional connectivity analysis of resting-state fMRI.\n\nHighlightsO_LIAn overview of the MRI processing pipeline for the ABCD Study\nC_LIO_LIA discussion on the challenges of large, multisite population studies\nC_LIO_LIA methodological reference for users of publicly shared data from the ABCD Study\nC_LI

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Hagler, D. J., Hatton, S. N., Makowski, C., Cornejo, M. D., Fair, D. A., Dick, A. S., Sutherland, M. T., Casey, B. J., Barch, D. M., Harms, M. P., Watts, R., Bjork, J. M., Garavan, H. P., Hilmer, L., Pung, C. J., Sicat, C. S., Kuperman, J., Bartsch, H., Xue, F., Heitzeg, M. M., Laird, A. R., Trinh, T. T., Gonzalez, R., Tapert, S. F., Riedel, M. C., Squeglia, L. M., Hyde, L. W., Rosenberg, M. D., Earl, E. A., Howlett, K. D., Baker, F. C., Soules, M., Diaz, J., Ruiz de Leon, O., Thompson, W. K., Neale, M. C., Herting, M., Sowell, E. R., Alvarez, R. P., Hawes, S. W., Sanchez, M., Bodurka, J., Bre. 2018-11-04. Image processing and analysis methods for the Adolescent Brain Cognitive Development Study. https://doi.org/10.1101/457739

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