Fusing Simultaneous EEG and fMRI Using Functional and Anatomical Information

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

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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 languageEnglish
Title of host publicationProceedings of the 2015 International Workshop on Pattern Recognition in NeuroImaging (PRNI 2015)
PublisherIEEE
Publication date2015
Pages33-36
ISBN (Print)978-1-4673-7145-2
DOIs
Publication statusPublished - 2015
Event5th International Workshop on Pattern Recognition in Neuroimaging - Stanford University, Palo Alto, United States
Duration: 10 Jun 201512 Jun 2015
Conference number: 5
https://sites.google.com/site/prni2015/

Workshop

Workshop5th International Workshop on Pattern Recognition in Neuroimaging
Number5
LocationStanford University
CountryUnited States
CityPalo Alto
Period10/06/201512/06/2015
Internet address

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