Title :
A hierarchical density-based clustering analysis of auditory fMRI activation data
Author :
Deleus, F.F. ; De Maziére, P.A. ; Gautama, T. ; Van Hulle, M.M.
Author_Institution :
Lab. voor Neuro- en Psychofysiologie, Katholieke Univ., Leuven, Belgium
Abstract :
A novel 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
Keywords :
Fourier transforms; audio signal processing; biomedical MRI; data analysis; pattern clustering; statistical analysis; Fourier-transformed regression coefficients; SPM; Statistical Parametric Mapping; auditory fMRI activation data; clustering analysis; fMRI signals; functional Magnetic Resonance Imaging data; hierarchical clustering; hierarchical density-based clustering analysis; known task sequence; standard data set; topographic maps; Image analysis; Magnetic analysis; Magnetic resonance imaging; Performance analysis; Scanning probe microscopy; Testing;
Conference_Titel :
Neural Networks for Signal Processing XI, 2001. Proceedings of the 2001 IEEE Signal Processing Society Workshop
Conference_Location :
North Falmouth, MA
Print_ISBN :
0-7803-7196-8
DOI :
10.1109/NNSP.2001.943106
