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Adaptive Filtering of FMRI Data Based on Correlation and Bold Response Similarity

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3 Author(s)
Rydell, J. ; Dept. of Biomedical Eng., Linkoping Univ. ; Knutsson, H. ; Borga, M.

In analysis of fMRI data, it is common to average neighboring voxels in order to obtain robust estimates of the correlations between voxel time-series and the model of the signal expected to be present in activated regions. We have previously proposed a method where only voxels with similar correlation coefficients are averaged. In this paper we extend this idea, and present a novel method for analysis of fMRI data. In the proposed method, only voxels with similar correlation coefficients and similar time-series are averaged. The proposed method is compared to our previous method and to two well-known filtering strategies, and is shown to have superior ability to discriminate between active and inactive voxels

Published in:

Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on  (Volume:2 )

Date of Conference:

14-19 May 2006