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An open-access accelerated adult equivalent of the ABCD Study neuroimaging dataset (a-ABCD)
Rapuano, Kristina M. Conley, May I. Juliano, Anthony C. Conan, Gregory M. Maza, Maria T. Woodman, Kylie Martinez, Steven A. Earl, Eric Perrone, Anders Feczko, Eric
Rapuano, Kristina M.
Conley, May I.
Juliano, Anthony C.
Conan, Gregory M.
Maza, Maria T.
Woodman, Kylie
Martinez, Steven A.
Earl, Eric
Perrone, Anders
Feczko, Eric
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Journal article
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2022-04-26
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Psychology and Neuroscience
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http://dx.doi.org/10.1016/j.neuroimage.2022.119215
Abstract
As public access to longitudinal developmental datasets like the Adolescent Brain Cognitive Development StudySM (ABCD Study®) increases, so too does the need for resources to benchmark time-dependent effects. Scan-to-scan changes observed with repeated imaging may reflect development but may also reflect practice effects, day-to-day variability in psychological states, and/or measurement noise. Resources that allow disentangling these time-dependent effects will be useful in quantifying actual developmental change. We present an accelerated adult equivalent of the ABCD Study dataset (a-ABCD) using an identical imaging protocol to acquire magnetic resonance imaging (MRI) structural, diffusion-weighted, resting-state and task-based data from eight adults scanned five times over five weeks. We report on the task-based imaging data (n = 7). In-scanner stop-signal (SST), monetary incentive delay (MID), and emotional n-back (EN-back) task behavioral performance did not change across sessions. Post-scan recognition memory for emotional n-back stimuli, however, did improve as participants became more familiar with the stimuli. Functional MRI analyses revealed that patterns of task-based activation reflecting inhibitory control in the SST, reward success in the MID task, and working memory in the EN-back task were more similar within individuals across repeated scan sessions than between individuals. Within-subject, activity was more consistent across sessions during the EN-back task than in the SST and MID task, demonstrating differences in fMRI data reliability as a function of task. The a-ABCD dataset provides a unique testbed for characterizing the reliability of brain function, structure, and behavior across imaging modalities in adulthood and benchmarking neurodevelopmental change observed in the open-access ABCD Study.
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Kristina M. Rapuano, May I. Conley, Anthony C. Juliano, Gregory M. Conan, Maria T. Maza, Kylie Woodman, Steven A. Martinez, Eric Earl, Anders Perrone, Eric Feczko, Damien A. Fair, Richard Watts, B.J. Casey, Monica D. Rosenberg, An open-access accelerated adult equivalent of the ABCD Study neuroimaging dataset (a-ABCD), NeuroImage, Volume 255, 2022, 119215, ISSN 1053-8119, https://doi.org/10.1016/j.neuroimage.2022.119215.
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Elsevier
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NeuroImage, Vol. 255
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