%0 Conference Paper %F Oral %T Validity of summary statistics-based mixed-effects group fMRI %+ Vision, Action et Gestion d'informations en Santé (VisAGeS) %+ Nuffield Department of Population Health [Oxford] %A Maumet, Camille %A Nichols, Thomas E. %Z This work was supported by the Wellcome Trust. The majority of this work was conducted while TEN and CM were at the University of Warwick and used the High Performance Computing cluster of the Department of Statistics, University of Warwick. %< avec comité de lecture %B OHBM 2018 - 24th Annual Meeting of the Organization for Human Brain Mapping %C Singapore, Singapore %P 1-2 %8 2018-06-17 %D 2018 %Z Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]Conference papers %X Statistical analysis of multi-subject functional Magnetic Resonance Imaging (fMRI) data is traditionally done using either: 1) a mixed-effects GLM (MFX GLM) where within-subject variance estimates are used and incorporated into per-subject weights or 2) arandom-effects General linear model (GLM) (RFX GLM) where within-subject variance estimates are not used. Both approaches areimplemented and available in major neuroimaging software packages including: SPM (MFX analysis; 2nd-Level statistics), FSL (FLAME; OLS) and AFNI (3dMEMA; 3dttest++). While MFX GLM provides the most efficient statistical estimate, its properties are only guaranteed in large samples, and it has been shown that RFX GLM is a valid alternative for one-sample group analyses in fMRI [1]. We recently showed that MFX GLM for image-based meta-analysis could lead to invalid results in small-samples. Here, we investigate whether this issue also affects group fMRI. %G English %2 https://inserm.hal.science/inserm-01887911/document %2 https://inserm.hal.science/inserm-01887911/file/Maumet_OHBM2018_validity_summary_stat.pdf %L inserm-01887911 %U https://inserm.hal.science/inserm-01887911 %~ INSERM %~ UNIV-RENNES1 %~ CNRS %~ INRIA %~ UNIV-UBS %~ INSA-RENNES %~ INRIA-RENNES %~ IRISA %~ IRISA_SET %~ INRIA_TEST %~ TESTALAIN1 %~ CENTRALESUPELEC %~ INRIA2 %~ UR1-HAL %~ UR1-MATH-STIC %~ UR1-UFR-ISTIC %~ TEST-UR-CSS %~ UNIV-RENNES %~ INRIA-RENGRE %~ EMPENN-R %~ UR1-MATH-NUM %~ UR1-BIO-SA %~ INRIA-ROYAUMEUNI