GSP (The Brain Genomics Superstruct Project)

Basic information

  • Applicaion: Healthy
  • Size: 1570 unique subject datasets, there are 69 subjects who were scanned on two separate occasions (test-retest reliability data).
  • Type: T1, rs-fMRI
  • License: GSP Data Use Terms
  • Link: http://neuroinformatics.harvard.edu/gsp/

Description

Large scale imaging data sets are necessary to address complex questions regarding the relationship between brain and behavior. The Brain Genomics Superstruct Project Open Access Data Release exposes a carefully vetted collection of neuroimaging, behavior, cognitive, and personality data for over 1,500 human participants. Each neuroimaging data set includes one high-resolution Magnetic Resonance Imaging (MRI) acquisition and one or more resting-state functional MRI acquisitions. Each functional acquisition is accompanied by a fully-automated quality assessment and pre-computed brain morphometrics.

File

In the platform 1570 subjects are uploaded.

All sessions have T1 and one or more resting-state fMRI.

Metadata

About 129 columns of metadata are provided. Also, details of scanning protocols are described in the website.

The metadata includes gender, the binned age (2 year bins), handedness, years of education, race, the volume of brain, right hemisphere average cortical thickness and many more.

README (phenotypes legend, protocol reference, data use terms, etc.)

License

  • I will not attempt to establish the identity of or attempt to contact any of the included human subjects.
  • I will not attempt to link any of the distributed data to any other data that might contain information about the included human subjects.
  • I understand that under no circumstances will the code that would link these data to Protected Health Information be given to me, nor will any additional information about individual human subjects be released to me under these Open Access Data Use Terms.
  • I will comply with all relevant rules and regulations imposed by my institution. This may mean that I need my research to be approved or declared exempt by a committee that oversees research on human subjects e.g., my Internal Review Board or Ethics Committee. Different committees operate under different national, state, and local laws and may interpret regulations differently, so it is important to ask about this.
  • I may redistribute original GSP Open Access data and any derived data as long as the data are redistributed under these same Data Use Terms.
  • I will acknowledge the use of GSP data and data derived from GSP data when publicly presenting any results or algorithms that benefitted from their use.
    • Papers, book chapters, books, posters, oral presentations, and all other printed and digital presentations of results derived from GSP data should contain the following wording in the acknowledgments section: “Data were provided [in part] by the Brain Genomics Superstruct Project of Harvard University and the Massachusetts General Hospital, (Principal Investigators: Randy Buckner, Joshua Roffman, and Jordan Smoller), with support from the Center for Brain Science Neuroinformatics Research Group, the Athinoula A. Martinos Center for Biomedical Imaging, and the Center for Human Genetic Research. 20 individual investigators at Harvard and MGH generously contributed data to GSP Open Access Data Use Terms Version: 2014-Apr-22 the overall project.”
    • Authors of publications or presentations using GSP data should cite relevant publications describing the methods used by the GSP to acquire and process the data. The specific publications that are appropriate to cite in any given study will depend on what GSP data were used and for what purposes. An annotated and appropriately up-to-date list of publications that may warrant consideration is available at http://neuroinformatics.harvard.edu/gsp/
    • The GSP as a consortium should not be included as an author of publications or presentations if this authorship would be based solely on the use of GSP data.
  • Failure to abide by these guidelines will result in termination of my privileges to access GSP data.


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Citation

  • Holmes, A.J., Hollinshead, M., O’Keefe, T.M., Petrov, V.I., Fariello, G.R., Wald, L.L., Fischl, B., Rosen, B.R., Mair, R.W., Roffman, J.L., Smoller, J.W., Buckner, R.L. (in press). Brain Genomics Superstruct Project initial data release with structural, functional, and behavioral measures. Scientific Data.
  • Yeo, B.T., Krienen, F.M., Sepulcre, J., Sabuncu, M.R, Lashkari, D., Hollinshead, M., Roffman, J.L., Smoller, J.W., Zollei, L., Polimeni, J.R., Fischl, B., Liu, H., Buckner, R.L. (2011) The organization of the human cerebral cortex estimated by intrinsic functional connectivity. Journal of Neurophysiology, 106(3): 1125-1165
  • Buckner, R.L., Krienen, F.M., Castellanos, A., Diaz, J.C., Yeo, B.T. (2011) The organization of the human cerebellum estimated by intrinsic functional connectivity. Journal of Neurophysiology, 106(5): 2322-2345
  • Choi, E.Y., Yeo, B.T.T., Buckner, R.L. (2012) The organization of the human striatum estimated by intrinsic functional connectivity. Journal of Neurophysiology, 108(8): 2242-2263
  • Van Dijk, K.R., Sabuncu, M.R., Buckner, R.L. (2012) The influence of head motion on intrinsic connectivity MRI. NeuroImage, 59(1): 431-438
    Holmes, A.J., Lee, P.H., Hollinshead, M., Bakst, L., Roffman, J.L., Smoller, J.W., Buckner, R.L. (2012) Individual differences in amygdala-prefrontal anatomy link negative affect, impaired social functioning, and polygenetic depression risk. Journal of Neuroscience, 32(50): 18087-18100