The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
The Adolescent Brain Cognitive Development (ABCD) study: Imaging acquisition across 21 sites
Open accessAbstract
The ABCD study is recruiting and following the brain development and health of over 10,000 9-10 year olds through adolescence. The imaging component of the study was developed by the ABCD Data Analysis and Informatics Center (DAIC) and the ABCD Imaging Acquisition Workgroup. Imaging methods and assessments were selected, optimized and harmonized across all 21 sites to measure brain structure and function relevant to adolescent development and addiction. This article provides an overview of the imaging procedures of the ABCD study, the basis for their selection and preliminary quality assurance and results that provide evidence for the feasibility and age-appropriateness of procedures and generalizability of findings to the existent literature.
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Cites
Ego depletion: Is the active self a limited resource?
Baumeister, R. F., Bratslavsky, E., Muraven, M., & Tice, D. M. (1998) · Journal of Personality and Social Psychology · doi:10.1037//0022-3514.74.5.1252 · Cited by 5,312
Methods to detect, characterize, and remove motion artifact in resting state fMRI
Power, J. D., Mitra, A., Laumann, T. O., Snyder, A. Z., Schlaggar, B. L., & Petersen, S. E. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.08.048 · Cited by 3,748
N-back working memory paradigm: a meta-analysis of normative functional neuroimaging studies.
Owen, A. M., McMillan, K. M., Laird, A. R., & Bullmore, E. (2005) · Human Brain Mapping · doi:10.1002/hbm.20131 · Cited by 3,560
Function in the human connectome: task-fMRI and individual differences in behavior
Barch, D. M., Burgess, G. C., Harms, M. P., Petersen, S. E., Schlaggar, B. L., Corbetta, M., Glasser, M. F., Curtiss, S., Dixit, S., Feldt, C., et al. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.033 · Cited by 1,529
Self-citationHart, H., Radua, J., Nakao, T., Mataix-Cols, D., & Rubia, K. (2013) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2013.277 · Cited by 764
Incentive-elicited brain activation in adolescents: Similarities and differences from young adults
Bjork, J. M., Knutson, B., Fong, G. W., Caggiano, D. M., Bennett, S. M., & Hommer, D. W. (2004) · The Journal of Neuroscience · doi:10.1523/jneurosci.4862-03.2004 · Cited by 567
Self-citationDeficits in behavioural inhibition in substance abuse and addiction: a meta-analysis.
Smith, J. L., Mattick, R. P., Jamadar, S. D., & Iredale, J. M. (2014) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2014.08.009 · Cited by 546
Frontostriatal maturation predicts cognitive control failure to appetitive cues in adolescents
Somerville, L. H., Hare, T., & Casey, B. J. (2011) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2010.21572 · Cited by 523
Self-citationFair, D. A., Nigg, J. T., Iyer, S., Bathula, D., Mills, K. L., Dosenbach, N. U. F., Schlaggar, B. L., Mennes, M., Gutman, D., Bangaru, S., et al. (2013) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2012.00080 · Cited by 463
Self-citationWhen Is an Adolescent an Adult? Assessing Cognitive Control in Emotional and Nonemotional Contexts
Cohen, A. O., Breiner, K., Steinberg, L., Bonnie, R. J., Scott, E. S., Taylor-Thompson, K., Rudolph, M. D., Chein, J., Richeson, J. A., Heller, A. S., et al. (2016) · Psychological Science · doi:10.1177/0956797615627625 · Cited by 272 · cited 4×
“This task is a recognition memory test and a variant of the lifespan HCP task (http://www.humanconnectome.org/; Barch et al., 2013; Cohen et al., 2016a, 2016b; Supplemental Fig.”
BackgroundMethodInfluentialSelf-citationAdolescents, adults and rewards: Comparing motivational neurocircuitry recruitment using fMRI
Bjork, J. M., Smith, A. R., Chen, G., & Hommer, D. W. (2010) · PLoS ONE · doi:10.1371/journal.pone.0011440 · Cited by 271
Self-citationAnticipatory reward processing in addicted populations: a focus on the monetary incentive delay task
Balodis, I. M., & Potenza, M. N. (2015) · Biological Psychiatry · doi:10.1016/j.biopsych.2014.08.020 · Cited by 267
Andrews, M. M., Meda, S. A., Thomas, A. D., Potenza, M. N., Krystal, J. H., Worhunsky, P., Stevens, M. C., O'Malley, S., Book, G. A., Reynolds, B., et al. (2011) · Biological Psychiatry · doi:10.1016/j.biopsych.2010.09.049 · Cited by 181
Teens impulsively react rather than retreat from threat
Dreyfuss, M., Caudle, K., Drysdale, A. T., Johnston, N. E., Cohen, A. O., Somerville, L. H., Galván, A., Tottenham, N., Hare, T. A., & Casey, B. J. (2014) · Developmental Neuroscience · doi:10.1159/000357755 · Cited by 111
Self-citationGenetic variation in GABRA 2 moderates peer influence on externalizing behavior in adolescents
Villafuerte, S., Trucco, E. M., Heitzeg, M. M., Burmeister, M., & Zucker, R. A. (2014) · Brain and Behavior · doi:10.1002/brb3.291 · Cited by 22
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Brain charts for the human lifespan
Bethlehem, R. A. I., Seidlitz, J., White, S. R., Vogel, J. W., Anderson, K. M., Adamson, C., Adler, S., Alexopoulos, G. S., Anagnostou, E., Areces-Gonzalez, A., et al. (2022) · Nature · doi:10.1038/s41586-022-04554-y · Cited by 1,794
Self-citationStress and adolescence: vulnerability and opportunity during a sensitive window of development
Sisk, L. M., & Gee, D. G. (2022) · Current Opinion in Psychology · doi:10.1016/j.copsyc.2021.10.005 · Cited by 374
The ABCD study: understanding the development of risk for mental and physical health outcomes
Karcher, N. R., & Barch, D. M. (2021) · Neuropsychopharmacology · doi:10.1038/s41386-020-0736-6 · Cited by 351
Self-citationZhang, F., Daducci, A., He, Y., Schiavi, S., Seguin, C., Smith, R. E., Yeh, C.-H., Zhao, T., & O’Donnell, L. J. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2021.118870 · Cited by 302
“to perform across-lifespan and multi-site studies, which usually involve a large number of datasets [8, 65, 447, 185, 69].”
BackgroundPaulus, M. P., Squeglia, L. M., Bagot, K., Jacobus, J., Kuplicki, R., Breslin, F. J., Bodurka, J., Morris, A. S., Thompson, W. K., Bartsch, H., et al. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2018.10.040 · Cited by 254
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Metadata
- Authors
- Casey, B. J., Cannonier, T., Conley, M. I., Cohen, A. O., Barch, D. M., Heitzeg, M. M., Soules, M. E., Teslovich, T., Dellarco, D. V., Garavan, H., Orr, C. A., Wager, T. D., Banich, M. T., Speer, N. K., Sutherland, M. T., Riedel, M. C., Dick, A. S., Bjork, J. M., Thomas, K. M., Chaarani, B., Mejia, M. H., Hagler, D. J., Daniela Cornejo, M., Sicat, C. S., Harms, M. P., Dosenbach, N. U. F., Rosenberg, M., Earl, E., Bartsch, H., Watts, R., Polimeni, J. R., Kuperman, J. M., Fair, D. A., & Dale, A. M.
- Venue
- Developmental Cognitive Neuroscience
- Publisher
- Elsevier BV
- Published
- 2018-08
- Volume
- 32
- Pages
- 43-54
- ISSN
- 1878-9293 (ISSN-L)
- OpenAlex
- W2789530810
- Cited by
- 2,204
- References
- 15
- FWCI
- 72.35
- Type
- journal article
- Language
- en
- Open access
- gold
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