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dc.contributor.authorGabrieli, Susan
dc.date.accessioned2011-02-22T23:00:47Z
dc.date.available2011-02-22T23:00:47Z
dc.date.issued2010-02
dc.date.submitted2009-10
dc.identifier.issn0027-8424
dc.identifier.issn1091-6490
dc.identifier.urihttp://hdl.handle.net/1721.1/61013
dc.description.abstractAlthough it is being successfully implemented for exploration of the genome, discovery science has eluded the functional neuroimaging community. The core challenge remains the development of common paradigms for interrogating the myriad functional systems in the brain without the constraints of a priori hypotheses. Resting-state functional MRI (R-fMRI) constitutes a candidate approach capable of addressing this challenge. Imaging the brain during rest reveals large-amplitude spontaneous low-frequency (<0.1 Hz) fluctuations in the fMRI signal that are temporally correlated across functionally related areas. Referred to as functional connectivity, these correlations yield detailed maps of complex neural systems, collectively constituting an individual's “functional connectome.” Reproducibility across datasets and individuals suggests the functional connectome has a common architecture, yet each individual's functional connectome exhibits unique features, with stable, meaningful interindividual differences in connectivity patterns and strengths. Comprehensive mapping of the functional connectome, and its subsequent exploitation to discern genetic influences and brain–behavior relationships, will require multicenter collaborative datasets. Here we initiate this endeavor by gathering R-fMRI data from 1,414 volunteers collected independently at 35 international centers. We demonstrate a universal architecture of positive and negative functional connections, as well as consistent loci of inter-individual variability. Age and sex emerged as significant determinants. These results demonstrate that independent R-fMRI datasets can be aggregated and shared. High-throughput R-fMRI can provide quantitative phenotypes for molecular genetic studies and biomarkers of developmental and pathological processes in the brain. To initiate discovery science of brain function, the 1000 Functional Connectomes Project dataset is freely accessible at www.nitrc.org/projects/fcon_1000/.en_US
dc.description.sponsorshipNational Institute of Mental Health (U.S.) (Grant R01MH083246) (Grant R01MH081218)en_US
dc.description.sponsorshipNational Institute of Drug Abuse (Grant R03DA024775) (Grant R01DA016979)en_US
dc.description.sponsorshipAutism Speaks (Organization)en_US
dc.description.sponsorshipNational Institute of Neurological Disorders and Stroke (U.S.) (Grant (R01NS049176)en_US
dc.language.isoen_US
dc.publisherNational Academy of Sciences (U.S.)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1073/pnas.0911855107en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourcePNASen_US
dc.titleToward discovery science of human brain functionen_US
dc.typeArticleen_US
dc.identifier.citationBiswal, B. B. et al. “Toward discovery science of human brain function.” Proceedings of the National Academy of Sciences 107.10 (2010): 4734-4739. Web.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Brain and Cognitive Sciencesen_US
dc.contributor.departmentMcGovern Institute for Brain Research at MITen_US
dc.contributor.approverGabrieli, Susan
dc.contributor.mitauthorGabrieli, Susan
dc.relation.journalProceedings of the National Academy of Sciences of the United States of America. (PNAS)en_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsBiswal, 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.; Dogonowski, A.-M.; Ernst, M.; Fair, D.; Hampson, M.; Hoptman, M. J.; Hyde, J. S.; Kiviniemi, V. J.; Kotter, R.; Li, S.-J.; Lin, C.-P.; Lowe, M. J.; Mackay, C.; Madden, D. J.; Madsen, K. H.; Margulies, D. S.; Mayberg, H. S.; McMahon, K.; Monk, C. S.; Mostofsky, S. H.; Nagel, B. J.; Pekar, J. J.; Peltier, S. J.; Petersen, S. E.; Riedl, V.; Rombouts, S. A. R. B.; Rypma, B.; Schlaggar, B. L.; Schmidt, S.; Seidler, R. D.; Siegle, G. J.; Sorg, C.; Teng, G.-J.; Veijola, J.; Villringer, A.; Walter, M.; Wang, L.; Weng, X.-C.; Whitfield-Gabrieli, S.; Williamson, P.; Windischberger, C.; Zang, Y.-F.; Zhang, H.-Y.; Castellanos, F. X.; Milham, M. P.en
mit.licensePUBLISHER_POLICYen_US
mit.metadata.statusComplete


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