A Monospectral Approach for fMRI Analysis using Kohonen Self-Organized Networks

One of the major challenges at the field of cognitive sciences is mapping the regions of the brain responsible for the motor and behavioral functions. The acquisition of functional magnetic resonance images is an important noninvasive technique to study the neural activity in the human brain. This work presents a new approach for the detection of activated brain regions: the composition and analysis of synthetic multi and monospectral images using statistical methods and proposing non-parametrical methods based on Kohonen self-organized networks.