Fusing Simultaneous EEG and fMRI Using Functional and Anatomical Information

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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 - 2015 International Workshop on Pattern Recognition in NeuroImaging, PRNI 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages33-36
Number of pages4
ISBN (Electronic)9781467371452
DOIs
Publication statusPublished - 2015 Sep 16
Event5th International Workshop on Pattern Recognition in NeuroImaging, PRNI 2015 - Stanford, United States
Duration: 2015 Jun 102015 Jun 12

Publication series

NameProceedings - 2015 International Workshop on Pattern Recognition in NeuroImaging, PRNI 2015

Other

Other5th International Workshop on Pattern Recognition in NeuroImaging, PRNI 2015
CountryUnited States
CityStanford
Period15/6/1015/6/12

Keywords

  • EEG
  • Fusion
  • Multimodal neuroimaging
  • Oscillation
  • fMRI

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Radiology Nuclear Medicine and imaging

Fingerprint Dive into the research topics of 'Fusing Simultaneous EEG and fMRI Using Functional and Anatomical Information'. Together they form a unique fingerprint.

  • Cite this

    Hansen, S. T., Winkler, I., Hansen, L. K., Muller, K. R., & Dahne, S. (2015). Fusing Simultaneous EEG and fMRI Using Functional and Anatomical Information. In Proceedings - 2015 International Workshop on Pattern Recognition in NeuroImaging, PRNI 2015 (pp. 33-36). [7270841] (Proceedings - 2015 International Workshop on Pattern Recognition in NeuroImaging, PRNI 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PRNI.2015.22