Developing and evaluating strategies to deal with motion in fMRI using Independent Component Analysis (ICA)
Functional Magnetic Resonance Imaging, fMRI, is a non invasive method to map brain activation with a magnetic resonance camera. In this thesis we propose a method to deal with motion induced artefacts in functional fMRI, using Independent Component Analysis, ICA. Patient movement can induce false activation or cause loss of true activation. Movement is one of the most common causes of fMRI failure
