Joint Source Decomposition of Concurrent EEG-FMRI Data in Epilepsy and Control Groups
EEG and fMRI are complementary, noninvasive technologies for investigating human brain function. These modalities have been used to uncover large-scale functional networks and their disruptions in clinical populations. Given the high temporal resolution of EEG and high spatial resolution of fMRI, integrating these modalities can provide a more holistic understanding of brain activity. This work explores a multimodal source decomposition technique for extracting shared modes of temporal variation between fMRI BOLD signals and EEG spectral power fluctuations in the resting state. The resulting components are then compared between patients with focal epilepsy and controls, revealing multimodal network differences between groups.
Authors
- Caroline Martin (ORCID: https://orcid.org/0000-0002-4114-8947)
- Haatef Pourmotabbed (ORCID: https://orcid.org/0009-0002-6713-3388)
- Dario J. Englot (ORCID: https://orcid.org/0000-0001-8373-690X)
- John Harding (ORCID: https://orcid.org/0000-0002-8539-0372)
- Catie Chang (ORCID: https://orcid.org/0000-0003-1541-9579)
- Victoria L. Morgan (ORCID: https://orcid.org/0000-0001-8263-2324)
- Sarah E. Goodale (ORCID: https://orcid.org/0000-0003-0460-6299)
- Kate Wang (ORCID: https://orcid.org/0000-0001-5208-1090)
- Camden E. Bibro
- Yamin Li (ORCID: https://orcid.org/0000-0003-0010-0848)
- Shiyu Wang (ORCID: https://orcid.org/0000-0003-2233-9315)
- Kimberly Rogge-Obando
- Bergen Allee
Institutions
- Vanderbilt University (US)
- Neurological Surgery (US)
- Vanderbilt University Medical Center (US)
Publication Details
- Published
- 2025-04-14
- DOI
- https://doi.org/10.1109/isbi60581.2025.10981013
- Citations
- 1
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 1.43
Funders
- National Institutes of Health