I have a question about the preprocessing for the task-fMRI grayordinates datasets, specifically the images from the Level 2 fixed-effects analysis. For clarity, the images I'm asking about are those like /104820/MNINonLinear/Results/tfMRI_WM/tfMRI_WM_hp200_s4_level2.feat/GrayordinatesStats/cope2.feat/pe1.dtseries.nii
From Barch et al. (2013) and the HCP_S500 Reference Manual, these participant-level analyses were performed with a grayordinates-adapted version of the FSL Level 1 and Level 2 analysis routines, using as input the output of the fMRISurface pipeline. Which brings me to the question: Is it correct that the pipelines producing these images perform (amongst other preprocessing steps) motion correction and spatial normalization (MNI atlas registration) on the fMRI images in volume space, before the surface mapping? Figures 19 and 20 in Glasser et al. (2013) suggest that this is the case, but it is a bit unclear. thanks, Jo -- Joset A. Etzel, Ph.D. Research Analyst Cognitive Control & Psychopathology Lab Washington University in St. Louis http://mvpa.blogspot.com/ _______________________________________________ HCP-Users mailing list HCP-Users@humanconnectome.org http://lists.humanconnectome.org/mailman/listinfo/hcp-users
