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IPMI
2003
Springer

Analysis of Event-Related fMRI Data Using Best Clustering Bases

10 years 7 months ago
Analysis of Event-Related fMRI Data Using Best Clustering Bases
We explore a new paradigm for the analysis of event-related functional magnetic resonance images (fMRI) of brain activity. We regard the fMRI data as a very large set of time series xi(t), indexed by the position i of a voxel inside the brain. The decision that a voxel i0 is activated is based not solely on the value of the fMRI signal at i0, but rather on the comparison of all time series xi(t) in a small neighborhood Wi0 around i0. We construct basis functions on which the projection of the fMRI data reveals the organization of the time-series xi(t) into "activated", and "non-activated" clusters. These "clustering basis functions" are selected from large libraries of wavelet packets according to their ability to separate the fMRI time-series into the activated cluster and a non activated cluster. This principle exploits the intrinsic spatial correlation that is present in the data.
François G. Meyer, Jatuporn Chinrungrueng
Added 16 Nov 2009
Updated 16 Nov 2009
Type Conference
Year 2003
Where IPMI
Authors François G. Meyer, Jatuporn Chinrungrueng
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