A multimodal approach to analysis of steady state visually evoked potentials
Steady state visually evoked potentials (SSVEPs), recorded from the central nervous system of humans using electroencephalography (EEG) in response to visual stimuli, have recently gained attention in cognitive and clinical neuroscience [1]. Here, we fuse EEG SSVEPs with recordings from functional m...
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sg-ntu-dr.10356-1058432019-12-06T21:59:09Z A multimodal approach to analysis of steady state visually evoked potentials Vij, Nikhil Zuobin, Wu Bjornsdotter, Malin Dauwels, Justin Vialatte, François-Benoît School of Electrical and Electronic Engineering IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (2013 : Singapore) DRNTU::Engineering::Electrical and electronic engineering Steady state visually evoked potentials (SSVEPs), recorded from the central nervous system of humans using electroencephalography (EEG) in response to visual stimuli, have recently gained attention in cognitive and clinical neuroscience [1]. Here, we fuse EEG SSVEPs with recordings from functional magnetic resonance imaging data (fMRI) utilizing the millisecond temporal resolution of the former and the excellent spatial resolution of the latter. In particular, we propose a spatio-frequency EEG/fMRI fusion framework to recover the frequency content from the EEG and spatial information from the fMRI to enhance our understanding of SSVEPs. Notably, we consider fused analysis of fMRI and EEG data collected independently. We demonstrate that the proposed approach is a practical data-driven method to achieve spatio-frequency fusion of EEG and fMRI SSVEP responses. 2013-12-02T07:22:09Z 2019-12-06T21:59:09Z 2013-12-02T07:22:09Z 2019-12-06T21:59:09Z 2013 2013 Conference Paper Vij, N., Wu, Z., Bjornsdotter, M., Dauwels, J., & Vialatte, F.-B. (2013). A multimodal approach to analysis of steady state visually evoked potentials. 2013 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 183-188. https://hdl.handle.net/10356/105843 http://hdl.handle.net/10220/17967 http://dx.doi.org/10.1109/CIBCB.2013.6595406 en |
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DRNTU::Engineering::Electrical and electronic engineering Vij, Nikhil Zuobin, Wu Bjornsdotter, Malin Dauwels, Justin Vialatte, François-Benoît A multimodal approach to analysis of steady state visually evoked potentials |
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Steady state visually evoked potentials (SSVEPs), recorded from the central nervous system of humans using electroencephalography (EEG) in response to visual stimuli, have recently gained attention in cognitive and clinical neuroscience [1]. Here, we fuse EEG SSVEPs with recordings from functional magnetic resonance imaging data (fMRI) utilizing the millisecond temporal resolution of the former and the excellent spatial resolution of the latter. In particular, we propose a spatio-frequency EEG/fMRI fusion framework to recover the frequency content from the EEG and spatial information from the fMRI to enhance our understanding of SSVEPs. Notably, we consider fused analysis of fMRI and EEG data collected independently. We demonstrate that the proposed approach is a practical data-driven method to achieve spatio-frequency fusion of EEG and fMRI SSVEP responses. |
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School of Electrical and Electronic Engineering |
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School of Electrical and Electronic Engineering Vij, Nikhil Zuobin, Wu Bjornsdotter, Malin Dauwels, Justin Vialatte, François-Benoît |
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Conference or Workshop Item |
author |
Vij, Nikhil Zuobin, Wu Bjornsdotter, Malin Dauwels, Justin Vialatte, François-Benoît |
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Vij, Nikhil |
title |
A multimodal approach to analysis of steady state visually evoked potentials |
title_short |
A multimodal approach to analysis of steady state visually evoked potentials |
title_full |
A multimodal approach to analysis of steady state visually evoked potentials |
title_fullStr |
A multimodal approach to analysis of steady state visually evoked potentials |
title_full_unstemmed |
A multimodal approach to analysis of steady state visually evoked potentials |
title_sort |
multimodal approach to analysis of steady state visually evoked potentials |
publishDate |
2013 |
url |
https://hdl.handle.net/10356/105843 http://hdl.handle.net/10220/17967 http://dx.doi.org/10.1109/CIBCB.2013.6595406 |
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