Clustering of BOLD signals recorded during rest reveals more inter-subject constancy than EEG-fMRI correlation maps

S. I. Gonçalves, P. J.W. Pouwels, J. P.A. Kuijer, R. M. Heethaar, J. C. De Munck

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

In this paper we apply an hierarchical clustering algorithm to resting state BOLD signals recorded during simultaneous measurement of Electroencephalogram (EEG) and functional magnetic resonance imaging (fMRI). Results of 15 subjects showed that in all cases clusters containing primarily occipital, parietal and frontal lobes were obtained. Furthermore, we found that in all cases, visual and somatosensory cortices were separated into different clusters. Contrary to the inter-subject constancy of the BOLD signal clusters, the statistical parametric maps (SPM's) resulting from correlating the alpha power time series with BOLD showed a much larger variability, both in terms of spatial distribution and statistical significance. Also the individual EEG spectrograms varied considerably from subject to subject. These results suggest that the BOLD signals have a larger inter-subject constancy and that the variability in the EEG-fMRI SPM's appears to be due to the variability associated with the EEG alone.

Original languageEnglish
Title of host publicationProceedings of VIPIMAGE 2007 - 1st ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing
Pages233-236
Number of pages4
Publication statusPublished - 2008
EventVIPIMAGE 2007 - 1st ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing - Porto, Portugal
Duration: 17 Oct 200719 Oct 2007

Publication series

NameProceedings of VIPIMAGE 2007 - 1st ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing

Conference

ConferenceVIPIMAGE 2007 - 1st ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing
CountryPortugal
CityPorto
Period17/10/200719/10/2007

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