Wavelet analyses of event-related fMRI experiments

Functional magnetic resonance imaging (fMRI) is being increasingly used to detect brain activation due to different stimuli from the external world. Recent event-related experiments used randomised-design to overcome the limitations found in classical block-design paradigm. This paper studies the application of wavelets to analyse data obtained in random event-related fMRI experiments to detect region of activation. Results from synthetic and real fMR images obtained in memory tasks are shown and elaborated.