Fusing Simultaneous EEG and fMRI Using Functional and Anatomical Information

Sofie Therese Hansen; Irene Winkler; Lars Kai Hansen; Klaus-Robert Müller; Sven Dahne

doi:10.1109/PRNI.2015.22

Fusing Simultaneous EEG and fMRI Using Functional and Anatomical Information

Sofie Therese Hansen, Irene Winkler, Lars Kai Hansen, Klaus-Robert Müller, Sven Dahne

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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Abstract

Simultaneously measuring electro physical and hemodynamic signals has become more accessible in the last years and the need for modeling techniques that can fuse the modalities is growing. In this work we augment a specific fusion method, the multimodal Source Power Co-modulation (mSPoC), to not only use functional but also anatomical information. The goal is to extract correlated source components from electroencephalography (EEG) and functional magnetic resonance imaging (fMRI). Anatomical information enters our proposed extension to mSPoC via the forward model, which relates the activity on cortex level to the EEG sensors. The augmented mSPoC is shown to outperform the original version in realistic simulations where the signal to noise ratio is low or where training epochs are scarce.

Original language	English
Title of host publication	Proceedings of the 2015 International Workshop on Pattern Recognition in NeuroImaging (PRNI 2015)
Publisher	IEEE
Publication date	2015
Pages	33-36
ISBN (Print)	978-1-4673-7145-2
DOIs	https://doi.org/10.1109/PRNI.2015.22
Publication status	Published - 2015
Event	5th International Workshop on Pattern Recognition in Neuroimaging - Stanford University, Palo Alto, United States Duration: 10 Jun 2015 → 12 Jun 2015 Conference number: 5 https://sites.google.com/site/prni2015/

Workshop

Workshop	5th International Workshop on Pattern Recognition in Neuroimaging
Number	5
Location	Stanford University
Country/Territory	United States
City	Palo Alto
Period	10/06/2015 → 12/06/2015
Internet address	https://sites.google.com/site/prni2015/

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10.1109/PRNI.2015.22

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@inproceedings{399b9d33c8ba400ebc0eed9f2c152be0,

title = "Fusing Simultaneous EEG and fMRI Using Functional and Anatomical Information",

abstract = "Simultaneously measuring electro physical and hemodynamic signals has become more accessible in the last years and the need for modeling techniques that can fuse the modalities is growing. In this work we augment a specific fusion method, the multimodal Source Power Co-modulation (mSPoC), to not only use functional but also anatomical information. The goal is to extract correlated source components from electroencephalography (EEG) and functional magnetic resonance imaging (fMRI). Anatomical information enters our proposed extension to mSPoC via the forward model, which relates the activity on cortex level to the EEG sensors. The augmented mSPoC is shown to outperform the original version in realistic simulations where the signal to noise ratio is low or where training epochs are scarce.",

author = "Hansen, {Sofie Therese} and Irene Winkler and Hansen, {Lars Kai} and Klaus-Robert M{\"u}ller and Sven Dahne",

year = "2015",

doi = "10.1109/PRNI.2015.22",

language = "English",

isbn = "978-1-4673-7145-2",

pages = "33--36",

booktitle = "Proceedings of the 2015 International Workshop on Pattern Recognition in NeuroImaging (PRNI 2015)",

publisher = "IEEE",

address = "United States",

note = "5th International Workshop on Pattern Recognition in Neuroimaging, PRNI 2015 ; Conference date: 10-06-2015 Through 12-06-2015",

url = "https://sites.google.com/site/prni2015/",

}

Hansen, ST, Winkler, I, Hansen, LK, Müller, K-R & Dahne, S 2015, Fusing Simultaneous EEG and fMRI Using Functional and Anatomical Information. in Proceedings of the 2015 International Workshop on Pattern Recognition in NeuroImaging (PRNI 2015). IEEE, pp. 33-36, 5th International Workshop on Pattern Recognition in Neuroimaging, Palo Alto, California, United States, 10/06/2015. https://doi.org/10.1109/PRNI.2015.22

Fusing Simultaneous EEG and fMRI Using Functional and Anatomical Information. / Hansen, Sofie Therese; Winkler, Irene; Hansen, Lars Kai et al.
Proceedings of the 2015 International Workshop on Pattern Recognition in NeuroImaging (PRNI 2015). IEEE, 2015. p. 33-36.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

TY - GEN

T1 - Fusing Simultaneous EEG and fMRI Using Functional and Anatomical Information

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AU - Dahne, Sven

N1 - Conference code: 5

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N2 - Simultaneously measuring electro physical and hemodynamic signals has become more accessible in the last years and the need for modeling techniques that can fuse the modalities is growing. In this work we augment a specific fusion method, the multimodal Source Power Co-modulation (mSPoC), to not only use functional but also anatomical information. The goal is to extract correlated source components from electroencephalography (EEG) and functional magnetic resonance imaging (fMRI). Anatomical information enters our proposed extension to mSPoC via the forward model, which relates the activity on cortex level to the EEG sensors. The augmented mSPoC is shown to outperform the original version in realistic simulations where the signal to noise ratio is low or where training epochs are scarce.

AB - Simultaneously measuring electro physical and hemodynamic signals has become more accessible in the last years and the need for modeling techniques that can fuse the modalities is growing. In this work we augment a specific fusion method, the multimodal Source Power Co-modulation (mSPoC), to not only use functional but also anatomical information. The goal is to extract correlated source components from electroencephalography (EEG) and functional magnetic resonance imaging (fMRI). Anatomical information enters our proposed extension to mSPoC via the forward model, which relates the activity on cortex level to the EEG sensors. The augmented mSPoC is shown to outperform the original version in realistic simulations where the signal to noise ratio is low or where training epochs are scarce.

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M3 - Article in proceedings

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BT - Proceedings of the 2015 International Workshop on Pattern Recognition in NeuroImaging (PRNI 2015)

PB - IEEE

T2 - 5th International Workshop on Pattern Recognition in Neuroimaging

Y2 - 10 June 2015 through 12 June 2015

ER -

Fusing Simultaneous EEG and fMRI Using Functional and Anatomical Information

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