Source to sensor coupling (SoSeC) as an effective tool to localize interacting sources from EEG and MEG data
The new approach is an effective tool to identify interacting sources from cross-spectra of EEG and MEG data.
Authors
- Andreas K. Engel (ORCID: https://orcid.org/0000-0003-4899-8466)
- Gregor Leicht (ORCID: https://orcid.org/0000-0002-5104-9336)
- Guido Nolte (ORCID: https://orcid.org/0000-0003-1597-0539)
- Florian Göschl (ORCID: https://orcid.org/0000-0002-7692-677X)
- Dionysia Kaziki
Institutions
- Universität Hamburg (DE)
- University Medical Center Hamburg-Eppendorf (DE)
Publication Details
- Journal
- Journal of Neuroscience Methods
- Published
- 2025-06-08
- DOI
- https://doi.org/10.1016/j.jneumeth.2025.110494
- Citations
- 1
- Primary Topic
- Neural dynamics and brain function
- Type
- article
- Field-Weighted Citation Impact
- 1.43
Funders
- European Commission
- Deutsche Forschungsgemeinschaft
- Bundesministerium für Bildung und Forschung
- European Research Council