FEAT

FMRI Expert Analysis Tool

Overview

FEAT is an advanced FMRI analysis tool with a straightforward but powerful GUI, carrying out data preprocessing (including slice timing correction, MCFLIRT motion correction and fieldmap-based EPI-distortion correction with FUGUE); first-level FILM GLM analysis with time-series prewhitening; registration to structural and standard space; and fully generalised mixed-effects group analysis (FLAME) using advanced Bayesian estimation techniques.

FEAT User Guide
Example FEAT output (what FEAT gives you automatically)
Images derived from FEAT output (generated after running FEAT using other tools)

Papers

A paper on FILM has been published in NeuroImage; see a related technical report (PS/PDF/HTML).
A paper on the FLAME higher-level modelling in FEAT has been published in NeuroImage; see a related technical report (PS/PDF/HTML).
A paper on the FLAME Bayesian estimation method has been published in NeuroImage; see a related technical report (PS/PDF/HTML).
A paper on the FLAME Bayesian estimation method incorporating outlier inference has been published in NeuroImage.
A paper looking at session variability, and also comparing various FEAT analyses with various SPM analyses, has been published in Human Brain Mapping; see a related technical report (PS/PDF/HTML).

Software

FEAT is available as part of the FMRIB Software Library.