Inter-subject variability of resting state brain activity explored using a data and model-driven approach in combination with EEG-fMRI

Sónia I. Gonçalves, Fetsje Bijma, Petra J.W. Pouwels, Marianne A. Jonker, Joost P.A. Kuijer, Rob M. Heethaar, Fernando H. Lopes Da Silva, Jan C. De Munck

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

2 Citations (Scopus)

Abstract

In this paper, we use co-registered EEG-fMRI during rest to investigate inter-subject-variability of BOLD signals in comparison with alpha-BOLD statistical parametric maps. A hierarchical clustering algorithm is used to detect spatial patterns of voxels showing correlated activity. The general-linear model is used to determine which of the identified patterns correlates significantly to the spontaneous variations of the alpha rhythm. For all sixteen subjects except one, the clustering of BOLD signal yielded very consistent regions wich included areas belonging to the "default mode" network and the neuronal networks involved in the generation of the alpha and mu rhythms. Furthermore, the BOLD clusters showed more consistency amongst subjects than the Alpha-BOLD statistical parametric maps obtained on a voxel-by-voxel basis. It is suggested that the larger inter-subject variability observed in the Alpha-BOLD statistical parametric maps when compared to the BOLD clusters is related to the individual variations in the EEG.

Original languageEnglish
Title of host publication2008 5th IEEE International Symposium on Biomedical Imaging
Subtitle of host publicationFrom Nano to Macro, Proceedings, ISBI
Pages608-611
Number of pages4
DOIs
Publication statusPublished - 2008
Event2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI - Paris, France
Duration: 14 May 200817 May 2008

Publication series

Name2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI

Conference

Conference2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI
Country/TerritoryFrance
CityParis
Period14/05/200817/05/2008

Keywords

  • Clustering methods
  • Electroencephalography
  • Hierarchical
  • Magnetic resonance imaging

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