The next FSL course takes place in Bordeaux, France, from June 22-26. This will be the only in-person FSL course in 2026, so don't miss it! Register here.
This one week in-person course covers both the theory and practice of functional and structural brain image analysis. We offer live lectures and guided practicals with expert tutors. The course is aimed at both new and existing users of FSL and will cover both basic and advanced features. We welcome all skill levels, and we have self-paced primer materials to get you started before attending.
Attendees will learn how to carry out analysis for themselves on real data, with a remote desktop computer in the cloud that we provide access to. After completing the course, attendees will be able to analyse their own structural, functional and diffusion MRI data sets. The methods covered are primarily aimed at applications in basic science and clinical research (not clinical practice) and include:
Functional MRI: GLM analysis, including Bayesian multi-subject statistics (FEAT), ICA Model-free analysis, functional connectivity (MELODIC)
Structural MRI: Image registration and unwarping (FLIRT/FNIRT/FUGUE & BBR), Brain extraction and tissue-type segmentation (BET/FAST), Structural spatial statistical analysis e.g. atrophy (SIENA/FSL-VBM), Automatic subcortical segmentation / alignment (FIRST), white matter hyperintensities (BIANCA).
Diffusion MRI: Probabilistic diffusion modelling and tractography, including crossing-fibres (FDT) Diffusion tensor fitting and voxelwise multi-subject analysis (DTIFIT/TBSS), Correction for motion, distortions and eddy-current effects (TOPUP/EDDY)
Resting-State Networks and Connectivity: Resting-State functional MRI analysis (dual regression), Functional and structural connectivity analysis.