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

• Main Authors: Camille Maumet, Thomas Nichols
• Format: Article
• Language: English
• Published: Pensoft Publishers 2017-02-01
• Series: Research Ideas and Outcomes
• Subjects: fMRI; Mass univariate analyses; Results reporti
• Online Access: https://riojournal.com/article/12368/

Mass universities 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.