Generalized EEG-FMRI spectral and spatiospectral heuristic models

Rene Labounek, David Janecek, Radek Marecek, Martin Lamos, Tomas Slavicek, Michal Mikl, Jaromir Bastinec, Petr Bednarik, David Bridwell, Milan Brazdil, Jiri Jan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

The aim of the current study is visualization of task-related variability in EEG-fMRI data, performed as a blind-search analysis without stimulus timings, using a methodology that is based on Kilner's et al. heuristic approach [2]. We show that filters of the relative EEG spectra with different frequency responses visualize different task-related brain networks. The effect is more pronounced within an event-related oddball paradigm (i.e. detecting rare visual targets) than within a block-design semantic decision paradigm (i.e. detecting semantic errors). The mutual information between different EEG-fMRI activation maps calculated with filters of different frequency responses appears stable between the different paradigms. We also introduce preliminary results implementing the heuristic analysis with spatiospectral EEG components, where the filter response has two dimensions and depends on frequency and channels.

Original languageEnglish (US)
Title of host publication2016 IEEE International Symposium on Biomedical Imaging
Subtitle of host publicationFrom Nano to Macro, ISBI 2016 - Proceedings
PublisherIEEE Computer Society
Pages767-770
Number of pages4
ISBN (Electronic)9781479923502
DOIs
StatePublished - Jun 15 2016
Event2016 IEEE 13th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016 - Prague, Czech Republic
Duration: Apr 13 2016Apr 16 2016

Publication series

NameProceedings - International Symposium on Biomedical Imaging
Volume2016-June
ISSN (Print)1945-7928
ISSN (Electronic)1945-8452

Other

Other2016 IEEE 13th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016
CountryCzech Republic
CityPrague
Period4/13/164/16/16

Keywords

  • GLM
  • ICA
  • Simultaneous EEG-fMRI
  • heuristic model

Fingerprint Dive into the research topics of 'Generalized EEG-FMRI spectral and spatiospectral heuristic models'. Together they form a unique fingerprint.

  • Cite this

    Labounek, R., Janecek, D., Marecek, R., Lamos, M., Slavicek, T., Mikl, M., Bastinec, J., Bednarik, P., Bridwell, D., Brazdil, M., & Jan, J. (2016). Generalized EEG-FMRI spectral and spatiospectral heuristic models. In 2016 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016 - Proceedings (pp. 767-770). [7493379] (Proceedings - International Symposium on Biomedical Imaging; Vol. 2016-June). IEEE Computer Society. https://doi.org/10.1109/ISBI.2016.7493379