Skip to Main content Skip to Navigation
Preprints, Working Papers, ...

Generating and reporting peak and cluster tables for voxel-wise inference in FSL

Abstract : Mass univariate analyses, in which a statistical test is performed at each voxel in the brain, is the most widespread approach to analyzing task-evoked functional Magnetic Resonance Imaging (fMRI) data. Such analyses identify the brain areas that are significantly activated in response to a given stimulus. In the literature, the significant areas are usually summarised by providing a table, listing, for each significant region, the 3D positions of the local maxima along with corresponding statistical values. This tabular output is provided by all the major as dsa dneuroimaging software packages including SPM, FSL and AFNI. Yet, in the HTML report generated by FSL, peak and cluster tables are only provided for one type of inference (cluster-wise inference) but not when a voxel-wise threshold is specified. In this project, we proposed an update for FSL to generate and report peak and cluster tables for voxel-wise inferences.
Document type :
Preprints, Working Papers, ...
Complete list of metadata

Cited literature [1 references]  Display  Hide  Download
Contributor : Camille Maumet Connect in order to contact the contributor
Submitted on : Wednesday, July 19, 2017 - 3:32:40 PM
Last modification on : Wednesday, November 3, 2021 - 7:47:32 AM


Publication funded by an institution




Camille Maumet, Thomas Nichols. Generating and reporting peak and cluster tables for voxel-wise inference in FSL. 2017. ⟨inserm-01565182⟩



Record views


Files downloads