Incorporating higher dimensionality in joint decomposition of EEG and FMRI

Wout Swinnen; Borbála Hunyadi; Acar Ataman Evrim; Sabine Van Huffel; Maarten De Vos

Incorporating higher dimensionality in joint decomposition of EEG and FMRI

Wout Swinnen, Borbála Hunyadi, Acar Ataman Evrim, Sabine Van Huffel, Maarten De Vos

Food Analytics and Biotechnology

11 Citations (Scopus)

Abstract

EEG-fMRI research to study brain function became popular because of the complementarity of the modalities. Through the use of data-driven approaches such as jointICA, sources extracted from EEG can be linked to regions in fMRI. Joint-ICA in its standard formulation however does not allow for the inclusion of multiple EEG electrodes, so it is a rather arbitrary choice which electrode is used in the analysis. In this study, we explore several ways to include the higher dimensionality of the EEG during a joint decomposition of EEG and fMRI. Our results show that incorporation of multiple channels in the jointICA can reveal new relations between fMRI activation maps and ERP features.

Original language	English
Title of host publication	2014 22nd European Signal Processing Conference (EUSIPCO)
Number of pages	5
Publisher	IEEE
Publication date	10 Nov 2014
Pages	121-125
ISBN (Electronic)	978-0-9928626-1-9
Publication status	Published - 10 Nov 2014
Event	22nd European Signal Processing Conference - Lisbon, Portugal Duration: 1 Sept 2014 → 5 Sept 2014

Conference

Conference	22nd European Signal Processing Conference
Country/Territory	Portugal
City	Lisbon
Period	01/09/2014 → 05/09/2014

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Swinnen, W, Hunyadi, B, Evrim, AA, Van Huffel, S & De Vos, M 2014, Incorporating higher dimensionality in joint decomposition of EEG and FMRI. in 2014 22nd European Signal Processing Conference (EUSIPCO). IEEE, pp. 121-125, 22nd European Signal Processing Conference, Lisbon, Portugal, 01/09/2014. <http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6952003&searchWithin%3Dswinnen%26filter%3DAND%28p_IS_Number%3A6951911%29>

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title = "Incorporating higher dimensionality in joint decomposition of EEG and FMRI",

abstract = "EEG-fMRI research to study brain function became popular because of the complementarity of the modalities. Through the use of data-driven approaches such as jointICA, sources extracted from EEG can be linked to regions in fMRI. Joint-ICA in its standard formulation however does not allow for the inclusion of multiple EEG electrodes, so it is a rather arbitrary choice which electrode is used in the analysis. In this study, we explore several ways to include the higher dimensionality of the EEG during a joint decomposition of EEG and fMRI. Our results show that incorporation of multiple channels in the jointICA can reveal new relations between fMRI activation maps and ERP features.",

author = "Wout Swinnen and Borb{\'a}la Hunyadi and Evrim, {Acar Ataman} and {Van Huffel}, Sabine and {De Vos}, Maarten",

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AU - Swinnen, Wout

AU - Hunyadi, Borbála

AU - Evrim, Acar Ataman

AU - Van Huffel, Sabine

AU - De Vos, Maarten

PY - 2014/11/10

Y1 - 2014/11/10

N2 - EEG-fMRI research to study brain function became popular because of the complementarity of the modalities. Through the use of data-driven approaches such as jointICA, sources extracted from EEG can be linked to regions in fMRI. Joint-ICA in its standard formulation however does not allow for the inclusion of multiple EEG electrodes, so it is a rather arbitrary choice which electrode is used in the analysis. In this study, we explore several ways to include the higher dimensionality of the EEG during a joint decomposition of EEG and fMRI. Our results show that incorporation of multiple channels in the jointICA can reveal new relations between fMRI activation maps and ERP features.

AB - EEG-fMRI research to study brain function became popular because of the complementarity of the modalities. Through the use of data-driven approaches such as jointICA, sources extracted from EEG can be linked to regions in fMRI. Joint-ICA in its standard formulation however does not allow for the inclusion of multiple EEG electrodes, so it is a rather arbitrary choice which electrode is used in the analysis. In this study, we explore several ways to include the higher dimensionality of the EEG during a joint decomposition of EEG and fMRI. Our results show that incorporation of multiple channels in the jointICA can reveal new relations between fMRI activation maps and ERP features.

M3 - Article in proceedings

SP - 121

EP - 125

BT - 2014 22nd European Signal Processing Conference (EUSIPCO)

PB - IEEE

T2 - 22nd European Signal Processing Conference

Y2 - 1 September 2014 through 5 September 2014

ER -

Incorporating higher dimensionality in joint decomposition of EEG and FMRI

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