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Brain Genomics Superstruct Project initial data release with structural, functional, and behavioral measures
Open accessAbstract
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.
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Cites
(1970) · Cited by 24,983
Culture and the self: Implications for cognition, emotion, and motivation.
Markus, H. R., & Kitayama, S. (1991) · Psychological Review · doi:10.1037/0033-295x.98.2.224 · Cited by 21,995
Desikan, R. S., Ségonne, F., Fischl, B., Quinn, B. T., Dickerson, B. C., Blacker, D., Buckner, R. L., Dale, A. M., Maguire, R. P., Hyman, B. T., et al. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.01.021 · Cited by 13,324
Self-citationJenkinson, M., Bannister, P., Brady, M., & Smith, S. (2002) · NeuroImage · doi:10.1006/nimg.2002.1132 · Cited by 11,888
Complex brain networks: graph theoretical analysis of structural and functional systems
Bullmore, E., & Sporns, O. (2009) · Nature Reviews Neuroscience · doi:10.1038/nrn2575 · Cited by 11,820
Functional connectivity in the motor cortex of resting human brain using echo‐planar mri
Biswal, B., Zerrin Yetkin, F., Haughton, V. M., & Hyde, J. S. (1995) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910340409 · Cited by 9,812
The organization of the human cerebral cortex estimated by intrinsic functional connectivity
Thomas Yeo, B. T., Krienen, F. M., Sepulcre, J., Sabuncu, M. R., Lashkari, D., Hollinshead, M., Roffman, J. L., Smoller, J. W., Zöllei, L., Polimeni, J. R., et al. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00338.2011 · Cited by 9,182
Self-citationFischl, B., Salat, D. H., Busa, E., Albert, M., Dieterich, M., Haselgrove, C., van der Kouwe, A., Killiany, R., Kennedy, D., Klaveness, S., et al. (2002) · Neuron · doi:10.1016/s0896-6273(02)00569-x · Cited by 8,610
Self-citationBiological insights from 108 schizophrenia-associated genetic loci
Schizophrenia Working Group of the Psychiatric Genomics Consortium (2014) · Nature · doi:10.1038/nature13595 · Cited by 7,577
Power, J. D., Barnes, K. A., Snyder, A. Z., Schlaggar, B. L., & Petersen, S. E. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.10.018 · Cited by 7,429
Conflict monitoring and cognitive control
Botvinick, M. M., Braver, T. S., Barch, D. M., Carter, C. S., & Cohen, J. D. (2001) · Psychological Review · doi:10.1037/0033-295x.108.3.624 · Cited by 7,351
Carver, C. S., & White, T. L. (1994) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.67.2.319 · Cited by 7,306
The organization of the human cerebellum estimated by intrinsic functional connectivity
Buckner, R. L., Krienen, F. M., Castellanos, A., Diaz, J. C., & Yeo, B. T. T. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00339.2011 · Cited by 7,304
Self-citationEffects of noise letters upon the identification of a target letter in a nonsearch task
Eriksen, B. A., & Eriksen, C. W. (1974) · Perception & Psychophysics · doi:10.3758/bf03203267 · Cited by 7,230
Mental Rotation of Three-Dimensional Objects
Shepard, R. N., & Metzler, J. (1971) · Science · doi:10.1126/science.171.3972.701 · Cited by 6,246
Measuring the thickness of the human cerebral cortex from magnetic resonance images
Fischl, B., & Dale, A. M. (2000) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.200033797 · Cited by 5,818
Self-citationThe WU-Minn Human Connectome Project: An overview
Van Essen, D. C., Smith, S. M., Barch, D. M., Behrens, T. E. J., Yacoub, E., & Ugurbil, K. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.041 · Cited by 5,651
Wechsler Abbreviated Scale of Intelligence
Dumont, R., Willis, J. O., Veizel, K., & Zibulsky, J. (2014) · Encyclopedia of Special Education · doi:10.1002/9781118660584.ese2519 · Cited by 5,521
Wechsler Abbreviated Scale of Intelligence
Wechsler, D. (2012) · PsycTESTS Dataset · doi:10.1037/t15170-000 · Cited by 4,596
A Voxel-Based Morphometric Study of Ageing in 465 Normal Adult Human Brains
Good, C. D., Johnsrude, I. S., Ashburner, J., Henson, R. N. A., Friston, K. J., & Frackowiak, R. S. J. (2001) · NeuroImage · doi:10.1006/nimg.2001.0786 · Cited by 4,561
The Alzheimer’s disease neuroimaging initiative (ADNI): MRI methods
Jack, C. R., Bernstein, M. A., Fox, N. C., Thompson, P., Alexander, G., Harvey, D., Borowski, B., Britson, P. J., L. Whitwell, J., Ward, C., et al. (2008) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.21049 · Cited by 4,347
Dynamic magnetic resonance imaging of human brain activity during primary sensory stimulation.
Kwong, K. K., Belliveau, J. W., Chesler, D. A., Goldberg, I. E., Weisskoff, R. M., Poncelet, B. P., Kennedy, D. N., Hoppel, B. E., Cohen, M. S., & Turner, R. (1992) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.89.12.5675 · Cited by 4,212
Functional Network Organization of the Human Brain
Power, J. D., Cohen, A. L., Nelson, S. M., Wig, G. S., Barnes, K. A., Church, J. A., Vogel, A. C., Laumann, T. O., Miezin, F. M., Schlaggar, B. L., et al. (2011) · Neuron · doi:10.1016/j.neuron.2011.09.006 · Cited by 4,124
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
Ogawa, S., Tank, D. W., Menon, R., Ellermann, J. M., Kim, S. G., Merkle, H., & Ugurbil, K. (1992) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.89.13.5951 · Cited by 3,681
A Systematic Method for Clinical Description and Classification of Personality Variants: A Proposal
Cloninger, C. R. (1987) · Archives of General Psychiatry · doi:10.1001/archpsyc.1987.01800180093014 · Cited by 3,678
Contributions of anterior cingulate cortex to behaviour
Devinsky, O., Morrell, M. J., & Vogt, B. A. (1995) · Brain · doi:10.1093/brain/118.1.279 · Cited by 3,377
Contributions of the Amygdala to Emotion Processing: From Animal Models to Human Behavior
Phelps, E. A., & LeDoux, J. E. (2005) · Neuron · doi:10.1016/j.neuron.2005.09.025 · Cited by 3,203
Toward discovery science of human brain function
Biswal, B. B., Mennes, M., Zuo, X.-N., Gohel, S., Kelly, C., Smith, S. M., Beckmann, C. F., Adelstein, J. S., Buckner, R. L., Colcombe, S., et al. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0911855107 · Cited by 2,970
Self-citationThe amygdala: vigilance and emotion
Davis, M., & Whalen, P. J. (2001) · Molecular Psychiatry · doi:10.1038/sj.mp.4000812 · Cited by 2,882
Voyer, D., Voyer, S., & Bryden, M. P. (1995) · Psychological Bulletin · doi:10.1037/0033-2909.117.2.250 · Cited by 2,868
Di Martino, A., Yan, C.-G., Li, Q., Denio, E., Castellanos, F. X., Alaerts, K., Anderson, J. S., Assaf, M., Bookheimer, S. Y., Dapretto, M., et al. (2014) · Molecular Psychiatry · doi:10.1038/mp.2013.78 · Cited by 2,780
Sensation Seeking : Beyond the Optimal Level of Arousal
Zuckerman, M. (1979) · Medical Entomology and Zoology · Cited by 2,706
Mental Rotations, a Group Test of Three-Dimensional Spatial Visualization
Vandenberg, S. G., & Kuse, A. R. (1978) · Perceptual and Motor Skills · doi:10.2466/pms.1978.47.2.599 · Cited by 2,620
McNair, D. M. (1992) · Medical Entomology and Zoology · Cited by 2,531
The influence of head motion on intrinsic functional connectivity MRI
Van Dijk, K. R. A., Sabuncu, M. R., & Buckner, R. L. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.07.044 · Cited by 2,344
Self-citationSensation seeking. Beyond the optimal level of arousal
Eysenck, H. J. (1980) · Personality and Individual Differences · doi:10.1016/0191-8869(80)90044-6 · Cited by 2,281
Zou, Q.-H., Zhu, C.-Z., Yang, Y., Zuo, X.-N., Long, X.-Y., Cao, Q.-J., Wang, Y.-F., & Zang, Y.-F. (2008) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2008.04.012 · Cited by 2,161
Watson, D., Wiese, D., Vaidya, J., & Tellegen, A. (1999) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.76.5.820 · Cited by 2,103
Evenden, J. L. (1999) · Psychopharmacology · doi:10.1007/pl00005481 · Cited by 2,044
Network modelling methods for FMRI
Smith, S. M., Miller, K. L., Salimi-Khorshidi, G., Webster, M., Beckmann, C. F., Nichols, T. E., Ramsey, J. D., & Woolrich, M. W. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2010.08.063 · Cited by 1,878
Van Dijk, K. R. A., Hedden, T., Venkataraman, A., Evans, K. C., Lazar, S. W., & Buckner, R. L. (2010) · Journal of Neurophysiology · doi:10.1152/jn.00783.2009 · Cited by 1,844
Self-citationNeurocircuitry of Mood Disorders
Price, J. L., & Drevets, W. C. (2010) · Neuropsychopharmacology · doi:10.1038/npp.2009.104 · Cited by 1,606
Limbic-cortical dysregulation: a proposed model of depression
(1997) · The Journal of Neuropsychiatry and Clinical Neurosciences · doi:10.1176/jnp.9.3.471 · Cited by 1,585
Han, X., Jovicich, J., Salat, D., van der Kouwe, A., Quinn, B., Czanner, S., Busa, E., Pacheco, J., Albert, M., Killiany, R., et al. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.02.051 · Cited by 1,508
Self-citationFear Extinction as a Model for Translational Neuroscience: Ten Years of Progress
Milad, M. R., & Quirk, G. J. (2012) · Annual Review of Psychology · doi:10.1146/annurev.psych.121208.131631 · Cited by 1,466
The oscillating brain: Complex and reliable
Zuo, X.-N., Di Martino, A., Kelly, C., Shehzad, Z. E., Gee, D. G., Klein, D. F., Castellanos, F. X., Biswal, B. B., & Milham, M. P. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2009.09.037 · Cited by 1,449
Buckner, R. L., Head, D., Parker, J., Fotenos, A. F., Marcus, D., Morris, J. C., & Snyder, A. Z. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.06.018 · Cited by 1,296
Self-citationToward a consensual structure of mood
Watson, D., & Tellegen, A. (1985) · Psychological Bulletin · doi:10.1037//0033-2909.98.2.219 · Cited by 1,170
A Population-Average, Landmark- and Surface-based (PALS) atlas of human cerebral cortex
Van Essen, D. C. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.06.058 · Cited by 1,151
Opportunities and limitations of intrinsic functional connectivity MRI
Buckner, R. L., Krienen, F. M., & Yeo, B. T. T. (2013) · Nature Neuroscience · doi:10.1038/nn.3423 · Cited by 912
Self-citationThe organization of the human striatum estimated by intrinsic functional connectivity
Choi, E. Y., Yeo, B. T. T., & Buckner, R. L. (2012) · Journal of Neurophysiology · doi:10.1152/jn.00270.2012 · Cited by 746
Self-citationOjemann, J. G., Akbudak, E., Snyder, A. Z., McKinstry, R. C., Raichle, M. E., & Conturo, T. E. (1997) · NeuroImage · doi:10.1006/nimg.1997.0289 · Cited by 694
Germine, L., Nakayama, K., Duchaine, B. C., Chabris, C. F., Chatterjee, G., & Wilmer, J. B. (2012) · Psychonomic Bulletin & Review · doi:10.3758/s13423-012-0296-9 · Cited by 669
Identification of common variants associated with human hippocampal and intracranial volumes
(ADNI), T. A. D. N. I., Stein, J. L., EPIGEN Consortium, IMAGEN Consortium, Saguenay Youth Study Group (SYS), Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium, for the Enhancing Neuro Imaging Genetics through Meta-Analysis (ENIGMA) Consortium, Medland, S. E., Vasquez, A. A., Hibar, D. P., et al. (2012) · Nature Genetics · doi:10.1038/ng.2250 · Cited by 626
Self-citationChapter 4 Affect as a Psychological Primitive
Barrett, L. F., & Bliss‐Moreau, E. (2009) · Advances in Experimental Social Psychology · doi:10.1016/s0065-2601(08)00404-8 · Cited by 621
Brain morphometry with multiecho MPRAGE
van der Kouwe, A. J. W., Benner, T., Salat, D. H., & Fischl, B. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2007.12.025 · Cited by 596
Self-citationJovicich, J., Czanner, S., Han, X., Salat, D., van der Kouwe, A., Quinn, B., Pacheco, J., Albert, M., Killiany, R., & Blacker, D. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.02.010 · Cited by 559
Neuroimaging of the Philadelphia Neurodevelopmental Cohort
Satterthwaite, T. D., Elliott, M. A., Ruparel, K., Loughead, J., Prabhakaran, K., Calkins, M. E., Hopson, R., Jackson, C., Keefe, J., Riley, M., et al. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.07.064 · Cited by 504
Marcus, D. S., Olsen, T. R., Ramaratnam, M., & Buckner, R. L. (2007) · Neuroinformatics · doi:10.1385/ni:5:1:11 · Cited by 459
Self-citationHead motion during MRI acquisition reduces gray matter volume and thickness estimates
Reuter, M., Tisdall, M. D., Qureshi, A., Buckner, R. L., van der Kouwe, A. J. W., & Fischl, B. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2014.12.006 · Cited by 457
Self-citationQuantitative volumetric analysis of brain MR: normative database spanning 5 decades of life.
Blatter, D. D., Bigler, E. D., Gale, S. D., Johnson, S. C., Anderson, C. V., Burnett, B. M., Parker, N., Kurth, S. M., & Horn, S. D. (1995) · PubMed Central · Cited by 454
An open science resource for establishing reliability and reproducibility in functional connectomics
Zuo, X.-N., Anderson, J. S., Bellec, P., Birn, R. M., Biswal, B. B., Blautzik, J., Breitner, J. C. S., Buckner, R. L., Calhoun, V. D., Castellanos, F. X., et al. (2014) · Scientific Data · doi:10.1038/sdata.2014.49 · Cited by 445
Self-citationDisruption of cortical association networks in schizophrenia and psychotic bipolar disorder
Baker, J. T., Holmes, A. J., Masters, G. A., Yeo, B. T. T., Krienen, F., Buckner, R. L., & Öngür, D. (2014) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2013.3469 · Cited by 435
Self-citationBrain Size and Cortical Structure in the Adult Human Brain
Im, K., Lee, J.-M., Lyttelton, O., Kim, S. H., Evans, A. C., & Kim, S. I. (2008) · Cerebral Cortex · doi:10.1093/cercor/bhm244 · Cited by 430
Imaging human connectomes at the macroscale
Craddock, R. C., Jbabdi, S., Yan, C.-G., Vogelstein, J. T., Castellanos, F. X., Di Martino, A., Kelly, C., Heberlein, K., Colcombe, S., & Milham, M. P. (2013) · Nature Methods · doi:10.1038/nmeth.2482 · Cited by 419
Holmes, A. J., Lee, P. H., Hollinshead, M. O., Bakst, L., Roffman, J. L., Smoller, J. W., & Buckner, R. L. (2012) · The Journal of Neuroscience · doi:10.1523/jneurosci.2531-12.2012 · Cited by 293
Self-citationNeurobiological basis of head motion in brain imaging
Zeng, L.-L., Wang, D., Fox, M. D., Sabuncu, M., Hu, D., Ge, M., Buckner, R. L., & Liu, H. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1317424111 · Cited by 285
Self-citationEmergence and Characterization of Sex Differences in Spatial Ability: A Meta-Analysis
Linn, M. C., & Petersen, A. C. (1985) · Child Development · doi:10.1111/j.1467-8624.1985.tb00213.x · Cited by 264
Satterthwaite, T. D., Wolf, D. H., Ruparel, K., Erus, G., Elliott, M. A., Eickhoff, S. B., Gennatas, E. D., Jackson, C., Prabhakaran, K., Smith, A., et al. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.06.045 · Cited by 253
Yeo, B. T. T., Krienen, F. M., Chee, M. W. L., & Buckner, R. L. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.10.046 · Cited by 242
Self-citationScan–rescan reliability of subcortical brain volumes derived from automated segmentation
Morey, R. A., Selgrade, E. S., Wagner, H. R., Huettel, S. A., Wang, L., & McCarthy, G. (2010) · Human Brain Mapping · doi:10.1002/hbm.20973 · Cited by 208
The future of the human connectome
Van Essen, D. C., & Ugurbil, K. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.01.032 · Cited by 192
Lag threads organize the brain’s intrinsic activity
Mitra, A., Snyder, A. Z., Blazey, T., & Raichle, M. E. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1503960112 · Cited by 188
Long-term influence of normal variation in neonatal characteristics on human brain development
Walhovd, K. B., Fjell, A. M., Brown, T. T., Kuperman, J. M., Chung, Y., Hagler, D. J., Roddey, J. C., Erhart, M., McCabe, C., Akshoomoff, N., et al. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1208180109 · Cited by 187
Self-citationOn-line automatic slice positioning for brain MR imaging
van der Kouwe, A. J. W., Benner, T., Fischl, B., Schmitt, F., Salat, D. H., Harder, M., Sorensen, A. G., & Dale, A. M. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.03.035 · Cited by 167
Self-citationObscuring Surface Anatomy in Volumetric Imaging Data
Milchenko, M., & Marcus, D. (2013) · Neuroinformatics · doi:10.1007/s12021-012-9160-3 · Cited by 145
Wig, G. S., Laumann, T. O., Cohen, A. L., Power, J. D., Nelson, S. M., Glasser, M. F., Miezin, F. M., Snyder, A. Z., Schlaggar, B. L., & Petersen, S. E. (2013) · Cerebral Cortex · doi:10.1093/cercor/bht056 · Cited by 128
Wang, D., Buckner, R. L., & Liu, H. (2013) · Journal of Neurophysiology · doi:10.1152/jn.00598.2012 · Cited by 124
Self-citationDavis, P. J. M., & Wright, E. A. (1977) · Neuropathology and Applied Neurobiology · doi:10.1111/j.1365-2990.1977.tb00595.x · Cited by 115
Total intracranial volume: Normative values and lack of association with Alzheimer’s disease
Edland, S. D., Xu, Y. C., Plevak, M. F., O’Brien, P. C., Tangalos, E. G., Petersen, R. C., & Jack, C. R. (2002) · Neurology · doi:10.1212/wnl.59.2.272 · Cited by 97
Smoller, J. W., Gallagher, P., Duncan, L. E., McGrath, L. M., Haddad, S. A., Holmes, A. J., Wolf, A. B., Hilker, S., Block, S. R., Weill, S. R., et al. (2014) · Biological Psychiatry · doi:10.1016/j.biopsych.2013.12.018 · Cited by 81
Self-citationBrain Genomics Superstruct Project (GSP)
Buckner, R. L., Roffman, J. L., & Smoller, J. W. (2014) · Harvard Dataverse · doi:10.7910/dvn/25833 · Cited by 55
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Local-global parcellation of the human cerebral cortex from intrinsic functional connectivity MRI
Schaefer, A., Kong, R., Gordon, E. M., Laumann, T. O., Zuo, X.-N., Holmes, A. J., Eickhoff, S. B., & Yeo, B. T. T. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhx179 · Cited by 3,657
Self-citationBest practices in data analysis and sharing in neuroimaging using MRI
Nichols, T. E., Das, S., Eickhoff, S. B., Evans, A. C., Glatard, T., Hanke, M., Kriegeskorte, N., Milham, M. P., Poldrack, R. A., Poline, J.-B., et al. (2017) · Nature Neuroscience · doi:10.1038/nn.4500 · Cited by 714
Mindboggling morphometry of human brains
Klein, A., Ghosh, S. S., Bao, F. S., Giard, J., Häme, Y., Stavsky, E., Lee, N., Rossa, B., Reuter, M., Chaibub Neto, E., et al. (2017) · PLOS Computational Biology · doi:10.1371/journal.pcbi.1005350 · Cited by 710
SynthSeg: Segmentation of brain MRI scans of any contrast and resolution without retraining
Billot, B., Greve, D. N., Puonti, O., Thielscher, A., Van Leemput, K., Fischl, B., Dalca, A. V., & Iglesias, J. E. (2023) · Medical Image Analysis · doi:10.1016/j.media.2023.102789 · Cited by 641
Self-citationAn Unsupervised Learning Model for Deformable Medical Image Registration
Balakrishnan, G., Zhao, A., Sabuncu, M. R., Dalca, A. V., & Guttag, J. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2018.00964 · Cited by 599
Metadata
- Authors
- Holmes, A. J., Hollinshead, M. O., 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.
- Venue
- Scientific Data
- Published
- 2015-07-07
- Volume
- 2
- Issue
- 1
- Pages
- 150031-150031
- ISSN
- 2052-4463 (ISSN-L)
- OpenAlex
- W1458229720
- Cited by
- 444
- References
- 83
- Type
- data paper
- Language
- en
- Open access
- gold
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