A hierarchical density-based clustering analysis of auditory fMRI activation data

Neural Networks for Signal Processing - Proceedings of the IEEE Workshop

Volumn , Issue , 2001, Pages 13-22

  Deleus, Filip F ^a   De Mazière, Patrick A ^a   Gautama, Temu ^a   Van Hulle, Marc M ^a  

^a KU LEUVEN UNIVERSITY OF LEUVEN   (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; FOURIER TRANSFORMS; MAGNETIC RESONANCE IMAGING; PROBABILITY; REGRESSION ANALYSIS;

CLUSTERING ANALYSIS;

DATA REDUCTION;

EID: 0035783539     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

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2. Single subject epoch (block) auditory fMRI activation data. This experiment was conducted by Geriant Rees under the direction of Karl Friston and the FIL methods group. Freely available on ftp://ftp.fil.ion.ucl.ac.uk/spm/data/MoAEpilot//MoAEpilot.tgz.
3. Frackowiak, R.S.J., Friston, K.J., Frith, C.D., Dolan, R.J., & Maziotta, J.C. (1997). Human Brain Function. Academic Press.
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8. Lars Kai Hansen, Finn Årup Nielsen, Peter Toft, Matthew G. Liptrot, Cyril Goutte, Stephen C. Strother, Nick Lange, Anders Gade, David A. Rottenberg, Olaf B. Paulson (1999), "lyngby" - a modeler's Matlab toolbox for spatio-temporal analysis of functional neuroimages. NeuroImage, 9 (6, part 2), pp. S241.
9. Tononi, G., McIntosh, A.R., Russell, D.P. & Edelman, G.M. (1998). Functional clustering: identifying strongly interactive brain regions in neuroimaging data. Neuroimage, 7, pp. 133 - 149.
10. Van Hulle, M.M. (2000). Faithful Representations and Topographic Maps: From Distortion- to Information-based Self-Organization (Haykin, S. ed.). John Wiley & Sons.