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dc.contributor.authorBehrmann, Marlene
dc.contributor.authorBrown, Emery Neal
dc.date.accessioned2017-11-02T19:00:09Z
dc.date.available2017-11-02T19:00:09Z
dc.date.issued2017-04
dc.identifier.issn0027-8424
dc.identifier.issn1091-6490
dc.identifier.urihttp://hdl.handle.net/1721.1/112127
dc.description.abstractTo test the validity of statistical methods for fMRI data analysis, Eklund et al. (1) used, for the first time, large-scale experimental data rather than simulated data. Using resting-state fMRI measurements to represent a null hypothesis of no task-induced activation, the authors compare familywise error rates for voxel-based and cluster-based inferences for both parametric and nonparametric methods. Eklund et al.’s study used three fMRI statistical analysis packages. They found that, for a target familywise error rate of 5%, the parametric methods gave invalid cluster-based inferences and conservative voxel-based inferences.en_US
dc.publisherNational Academy of Sciences (U.S.)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1073/PNAS.1705513114en_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.titleControversy in statistical analysis of functional magnetic resonance imaging dataen_US
dc.typeArticleen_US
dc.identifier.citationBrown, Emery N., and Behrmann, Marlene. “Controversy in Statistical Analysis of Functional Magnetic Resonance Imaging Data.” Proceedings of the National Academy of Sciences 114, 17 (April 2017): E3368–E3369 © 2017 National Academy of Sciencesen_US
dc.contributor.departmentInstitute for Medical Engineering and Scienceen_US
dc.contributor.departmentHarvard University--MIT Division of Health Sciences and Technologyen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Brain and Cognitive Sciencesen_US
dc.contributor.mitauthorBrown, Emery Neal
dc.relation.journalProceedings of the National Academy of Sciencesen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2017-10-26T18:12:26Z
dspace.orderedauthorsBrown, Emery N.; Behrmann, Marleneen_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0003-2668-7819
mit.licensePUBLISHER_POLICYen_US


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