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dc.contributor.authorWHELAN, ROBERTen
dc.date.accessioned2012-06-19T13:32:22Z
dc.date.available2012-06-19T13:32:22Z
dc.date.issued2012en
dc.date.submitted2012en
dc.identifier.citationBenjamin Thyreau, Yannick Schwartz, Bertrand Thirion, Vincent Frouin, Eva Loth, Sabine Vollsätdt-Klein, Tomas Paus, Eric Artiges, Patricia J. Conrod, Gunter Schumann, Robert Whelan, Jean-Baptiste Poline, Very large fMRI study using the IMAGEN database: sensitivity - specificity and population effect modelling in relation to the underlying anatomy, NeuroImage, 61, 1, 2012, 295 - 303en
dc.identifier.otherYen
dc.identifier.urihttp://hdl.handle.net/2262/63816
dc.descriptionPUBLISHEDen
dc.description.abstractIn this paper we investigate the use of classical fMRI Random Effect (RFX) group statistics when analysing a very large cohort and the possible improvement brought from anatomical information. Using 1326 subjects from the IMAGEN study, we first give a global picture of the evolution of the group effect t-value from a simple face-watching contrast with increasing cohort size. We obtain a wide activated" pattern, far from being limited to the reasonably expected brain areas, illustrating the difference between statistical significance and practical significance. This motivates us to inject tissue-probability information into the group estimation, we model the BOLD contrast using a matter-weighted mixture of Gaussians and compare it to the common, single-Gaussian model. In both cases, the models parameters are estimated per-voxel for one subgroup, and the likelihood of both models is computed on a second, separate subgroup to reflect models generalization capacity. Various group sizes are tested, and significance is asserted using a 10-fold cross-validation scheme. We conclude that adding matter information consistently improves the quantitative analysis of BOLD responses in some areas of the brain, particularly those where accurate inter-subject registration remains challenging.en
dc.description.sponsorshipSupport was provided by the IMAGEN project, which receives research funding from the European Community's Sixth Framework Programme (LSHM-CT-2007-037286. The funding sources had no further role in study design; in the collection, analysis and interpretation of data; in the writing of the report; and in the decision to submit the paper for publication.en
dc.format.extent295en
dc.format.extent303en
dc.language.isoenen
dc.relation.ispartofseriesNeuroImageen
dc.relation.ispartofseries61en
dc.relation.ispartofseries1en
dc.rightsYen
dc.subjectNeuroscienceen
dc.subjectBrain Mappingen
dc.subjectLikelihood Functionsen
dc.subjectLinear Modelsen
dc.subjectMagnetic Resonance Imagingen
dc.subjectMRIen
dc.titleVery large fMRI study using the IMAGEN database: sensitivity - specificity and population effect modelling in relation to the underlying anatomyen
dc.typeJournal Articleen
dc.contributor.sponsorEuropean Commissionen
dc.type.supercollectionscholarly_publicationsen
dc.type.supercollectionrefereed_publicationsen
dc.identifier.peoplefinderurlhttp://people.tcd.ie/whelanr3en
dc.identifier.rssinternalid78672en
dc.relation.ecprojectidinfo:eu-repo/grantAgreement/EC/FP7/037286
dc.contributor.sponsorGrantNumber037286en
dc.subject.TCDThemeNeuroscienceen
dc.identifier.rssurihttp://www.sciencedirect.com/science/article/pii/S1053811912002753en
dc.identifier.orcid_id0000-0002-2790-7281en


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