Exploring task-related variability in fMRI data using fluctuations in power spectrum of simultaneously acquired EEG

René Labounek, Martin Lamoš, Radek Mareček, Milan Brázdil, Jiří Jan

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

Background: The paper deals with joint analysis of fMRI and scalp EEG data, simultaneously acquired during event-related oddball experiment. The analysis is based on deriving temporal sequences of EEG powers in individual frequency bands for the selected EEG electrodes and using them as regressors in the general linear model (GLM). New method: Given the infrequent use of EEG spectral changes to explore task-related variability, we focused on the aspects of parameter setting during EEG regressor calculation and searched for such parameters that can detect task-related variability in EEG-fMRI data. We proposed a novel method that uses relative EEG power in GLM. Results: Parameter, the type of power value, has a direct impact as to whether task-related variability is detected or not. For relative power, the final results are sensitive to the choice of frequency band of interest. The electrode selection also has certain impact; however, the impact is not crucial. It is insensitive to the choice of EEG power series temporal weighting step. Relative EEG power characterizes the experimental task activity better than the absolute power. Absolute EEG power contains broad spectrum component. Task-related relative power spectral formulas were derived. Comparison with existing methods: For particular set of parameters, our results are consistent with previously published papers. Our work expands current knowledge by new findings in spectral patterns of different brain processes related to the experimental task. Conclusions: To make analysis to be sensitive to task-related variability, the parameters type of power value and frequency band should be set properly.
Original languageEnglish (US)
Pages (from-to)125-136
Number of pages12
JournalJournal of Neuroscience Methods
Volume245
DOIs
StatePublished - Apr 1 2015

Bibliographical note

Funding Information:
The research was supported by Grant Agency of Czech Republic by the grant no. P304/11/1318 . The funding is highly acknowledged. All EEG-fMRI measurements were performed at the 1st Department of Neurology, St. Anne's University Hospital Brno, Czech Republic. Computational resources were provided by the MetaCentrum under the program LM2010005 and the CERIT-SC under the program Centre CERIT Scientific Cloud, part of the Operational Program Research and Development for Innovations, Reg. no. CZ.1.05/3.2.00/08.0144. Appendix A

Publisher Copyright:
© 2015 Elsevier B.V.

Keywords

  • Absolute and relative power
  • EEG Regressor Builder
  • General linear model (GLM)
  • Regressor
  • Simultaneous EEG-fMRI
  • Task-related variability
  • Visual oddball paradigm

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