Neural networks for signal processing XI pages:13-22
Neural networks for signal processing edition:11 location:Falmouth MA date:10-12 September 2001
A new tool for analysing functional Magnetic Resonance Imaging (fMRI) data is introduced. The tool is based on the hierarchical clustering of the Fourier-transformed regression coefficients obtained by regressing the known task sequence with the individual fMRI signals. The clustering analysis is density-based and performed with topographic maps. The tool is tested on a standard data set and the results are compared with those obtained by Statistical Parametric Mapping (SPM), the most widely used tool in the field.