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

fYear

2001

fDate

2001

Firstpage

13

Lastpage

22

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks for Signal Processing XI, 2001. Proceedings of the 2001 IEEE Signal Processing Society Workshop

Conference_Location

North Falmouth, MA

ISSN

1089-3555

Print_ISBN

0-7803-7196-8

Type

conf

DOI

10.1109/NNSP.2001.943106

Filename

943106