Brain Genomics Superstruct Project initial data release with structural, functional, and behavioral measures

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Brain Genomics Superstruct Project initial data release with structural, functional, and behavioral measures

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Title: Brain Genomics Superstruct Project initial data release with structural, functional, and behavioral measures
Author: Holmes, Avram J.; Hollinshead, Marisa O.; O’Keefe, Timothy M.; Petrov, Victor I.; Fariello, Gabriele R.; Wald, Lawrence L.; Fischl, Bruce; Rosen, Bruce R.; Mair, Ross W.; Roffman, Joshua L.; Smoller, Jordan W.; Buckner, Randy L.

Note: Order does not necessarily reflect citation order of authors.

Citation: Holmes, A. J., M. O. Hollinshead, T. M. O’Keefe, V. I. Petrov, G. R. Fariello, L. L. Wald, B. Fischl, et al. 2015. “Brain Genomics Superstruct Project initial data release with structural, functional, and behavioral measures.” Scientific Data 2 (1): 150031. doi:10.1038/sdata.2015.31. http://dx.doi.org/10.1038/sdata.2015.31.
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Research Data: http://dx.doi.org/10.7910/DVN/25833
Abstract: The goal of the Brain Genomics Superstruct Project (GSP) is to enable large-scale exploration of the links between brain function, behavior, and ultimately genetic variation. To provide the broader scientific community data to probe these associations, a repository of structural and functional magnetic resonance imaging (MRI) scans linked to genetic information was constructed from a sample of healthy individuals. The initial release, detailed in the present manuscript, encompasses quality screened cross-sectional data from 1,570 participants ages 18 to 35 years who were scanned with MRI and completed demographic and health questionnaires. Personality and cognitive measures were obtained on a subset of participants. Each dataset contains a T1-weighted structural MRI scan and either one (n=1,570) or two (n=1,139) resting state functional MRI scans. Test-retest reliability datasets are included from 69 participants scanned within six months of their initial visit. For the majority of participants self-report behavioral and cognitive measures are included (n=926 and n=892 respectively). Analyses of data quality, structure, function, personality, and cognition are presented to demonstrate the dataset’s utility.
Published Version: doi:10.1038/sdata.2015.31
Other Sources: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4493828/pdf/
Terms of Use: This article is made available under the terms and conditions applicable to Other Posted Material, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#LAA
Citable link to this page: http://nrs.harvard.edu/urn-3:HUL.InstRepos:17820734
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