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

By Donald J. Hagler, Sean N Hatton, Carolina Makowski, M. Daniela Cornejo, Damien A. Fair, Anthony Steven Dick, Matthew T. Sutherland, B.J. Casey, Deanna M. Barch, Michael P Harms, Richard Watts, James M. Bjork, Hugh P. Garavan, Laura Hilmer, Christopher J. Pung, Chelsea S. Sicat, Joshua Kuperman, Hauke Bartsch, Feng Xue, Mary M. Heitzeg, Robert W. Laird, Thanh T. Trinh, Raul Gonzalez, Susan F. Tapert, Michael C. Riedel, Lindsay M Squeglia, Luke W. Hyde, Monica D Rosenberg, Eric A. Earl, Katia D. Howlett, Fiona C. Baker, Mary Soules, Jazmin Diaz, Octavio Ruiz de Leon, Wesley K. Thompson, Michael C Neale, Megan Herting, Elizabeth R. Sowell, Ruben P. Alvarez, Samuel W. Hawes, Mariana Sanchez, Jerzy Bodurka, Florence J. Breslin, Amanda Sheffield Morris, Martin P Paulus, W. Kyle Simmons, Jonathan R. Polimeni, Andre van der Kouwe, Andrew S. Nencka, Kevin M. Gray, Carlo Pierpaoli, John A. Matochik, Antonio Noronha, Will M. Aklin, Kevin Conway, Meyer Glantz, Elizabeth Hoffman, Roger Little, Marsha Lopez, Vani Pariyadath, Susan R.B. Weiss, Dana L. Wolff-Hughes, Rebecca DelCarmen-Wiggins, Sarah W. Feldstein Ewing, Oscar Miranda-Dominguez, Bonnie J. Nagel, Anders J. Perrone, Darrick T. Sturgeon, Aimee Goldstone, Adolf Pfefferbaum, Kilian M. Pohl, Devin Prouty, Kristina Uban, Susan Y Bookheimer, Mirella Dapretto, Adriana Galvan, Kara Bagot, Jay Giedd, M. Alejandra Infante, Joanna Jacobus, Kevin Patrick, Paul D Shilling, Rahul Desikan, Yi Li, Leo Sugrue, Marie T Banich, Naomi Friedman, John K. Hewitt, Christian Hopfer, Joseph Sakai, Jody Tanabe, Linda B. Cottler, Sara Jo Nixon, Linda Chang, Christine Cloak, Thomas Ernst, Gloria Reeves, David N. Kennedy, Steve Heeringa, Scott Peltier, John Schulenberg, Chandra Sripada, Robert A. Zucker, William G Iacono, Monica Luciana, Finnegan J. Calabro, Duncan B. Clark, David A Lewis, Beatriz Luna, Claudiu Schirda, Tufikameni Brima, John J. Foxe, Edward G. Freedman, Daniel W. Mruzek, Michael J. Mason, Rebekah Huber, Erin McGlade, Andrew Prescot, Perry F. Renshaw, Deborah A. Yurgelun-Todd, Nicholas A Allgaier, Julie A. Dumas, Masha Ivanova, Alexandra Potter, Paul Florsheim, Christine Larson, Krista Lisdahl, Michael E. Charness, Bernard Fuemmeler, John M. Hettema, Joel Steinberg, Andrey P Anokhin, Paul Glaser, Andrew C. Heath, Pamela A. Madden, Arielle Baskin-Sommers, R. Todd Constable, Steven J. Grant, Gayathri J. Dowling, Sandra A. Brown, Terry L Jernigan, Anders M. Dale

Posted 04 Nov 2018
bioRxiv DOI: 10.1101/457739 (published DOI: 10.1016/j.neuroimage.2019.116091)

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.

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