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dc.contributor.authorGabrieli, John D. E.
dc.contributor.authorGhosh, Satrajit S.
dc.contributor.authorGabrieli, Susan
dc.date.accessioned2016-05-09T14:59:13Z
dc.date.available2016-05-09T14:59:13Z
dc.date.issued2015-01
dc.identifier.issn08966273
dc.identifier.issn1097-4199
dc.identifier.urihttp://hdl.handle.net/1721.1/102429
dc.description.abstractNeuroimaging has greatly enhanced the cognitive neuroscience understanding of the human brain and its variation across individuals (neurodiversity) in both health and disease. Such progress has not yet, however, propelled changes in educational or medical practices that improve people’s lives. We review neuroimaging findings in which initial brain measures (neuromarkers) are correlated with or predict future education, learning, and performance in children and adults; criminality; health-related behaviors; and responses to pharmacological or behavioral treatments. Neuromarkers often provide better predictions (neuroprognosis), alone or in combination with other measures, than traditional behavioral measures. With further advances in study designs and analyses, neuromarkers may offer opportunities to personalize educational and clinical practices that lead to better outcomes for people.en_US
dc.description.sponsorshipPoitras Center for Affective Disorders Researchen_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (Grant R01HD067312)en_US
dc.language.isoen_US
dc.publisherElsevieren_US
dc.relation.isversionofhttp://dx.doi.org/10.1016/j.neuron.2014.10.047en_US
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivs Licenseen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.sourcePMCen_US
dc.titlePrediction as a Humanitarian and Pragmatic Contribution from Human Cognitive Neuroscienceen_US
dc.typeArticleen_US
dc.identifier.citationGabrieli, John D.E., Satrajit S. Ghosh, and Susan Whitfield-Gabrieli. “Prediction as a Humanitarian and Pragmatic Contribution from Human Cognitive Neuroscience.” Neuron 85, no. 1 (January 2015): 11–26.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Institute for Medical Engineering & Scienceen_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.mitauthorGabrieli, John D. E.en_US
dc.contributor.mitauthorGhosh, Satrajit S.en_US
dc.contributor.mitauthorGabrieli, Susanen_US
dc.relation.journalNeuronen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsGabrieli, John D.E.; Ghosh, Satrajit S.; Whitfield-Gabrieli, Susanen_US
dc.identifier.orcidhttps://orcid.org/0000-0002-5312-6729
dc.identifier.orcidhttps://orcid.org/0000-0003-1158-5692
dspace.mitauthor.errortrue
mit.licensePUBLISHER_CCen_US
mit.metadata.statusComplete


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