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

doi:10.1109/ISBI.2016.7493379

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

Clinical Behavioral Neuroscience (Pediatrics)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

6 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 language	English (US)
Title of host publication	2016 IEEE International Symposium on Biomedical Imaging
Subtitle of host publication	From Nano to Macro, ISBI 2016 - Proceedings
Publisher	IEEE Computer Society
Pages	767-770
Number of pages	4
ISBN (Electronic)	9781479923502
DOIs	https://doi.org/10.1109/ISBI.2016.7493379
State	Published - Jun 15 2016
Event	2016 IEEE 13th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016 - Prague, Czech Republic Duration: Apr 13 2016 → Apr 16 2016

Publication series

Name	Proceedings - International Symposium on Biomedical Imaging
Volume	2016-June
ISSN (Print)	1945-7928
ISSN (Electronic)	1945-8452

Other

Other	2016 IEEE 13th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016
Country/Territory	Czech Republic
City	Prague
Period	4/13/16 → 4/16/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Keywords

GLM
ICA
Simultaneous EEG-fMRI
heuristic model

Publisher link

10.1109/ISBI.2016.7493379

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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). Article 7493379 (Proceedings - International Symposium on Biomedical Imaging; Vol. 2016-June). IEEE Computer Society. https://doi.org/10.1109/ISBI.2016.7493379

Generalized EEG-FMRI spectral and spatiospectral heuristic models. / Labounek, Rene; Janecek, David; Marecek, Radek et al.
2016 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016 - Proceedings. IEEE Computer Society, 2016. p. 767-770 7493379 (Proceedings - International Symposium on Biomedical Imaging; Vol. 2016-June).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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., 7493379, Proceedings - International Symposium on Biomedical Imaging, vol. 2016-June, IEEE Computer Society, pp. 767-770, 2016 IEEE 13th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016, Prague, Czech Republic, 4/13/16. https://doi.org/10.1109/ISBI.2016.7493379

Labounek R, Janecek D, Marecek R, Lamos M, Slavicek T, Mikl M et al. Generalized EEG-FMRI spectral and spatiospectral heuristic models. In 2016 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016 - Proceedings. IEEE Computer Society. 2016. p. 767-770. 7493379. (Proceedings - International Symposium on Biomedical Imaging). doi: 10.1109/ISBI.2016.7493379

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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.",

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AU - Slavicek, Tomas

AU - Mikl, Michal

AU - Bastinec, Jaromir

AU - Bednarik, Petr

AU - Bridwell, David

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Generalized EEG-FMRI spectral and spatiospectral heuristic models

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