Linear and nonlinear multidimensional functional connectivity methods reveal similar networks for semantic processing in EEG/MEG data
Overall, this suggests that linear multidimensional methods may be a reasonable practical choice to approximate brain connectivity, given the additional computational demands of nonlinear methods.
Authors
- Olaf Hauk (ORCID: https://orcid.org/0000-0003-0817-6054)
- Rebecca L. Jackson (ORCID: https://orcid.org/0000-0001-5339-0266)
- Setareh Rahimi (ORCID: https://orcid.org/0000-0002-7594-5346)
Institutions
- MRC Cognition and Brain Sciences Unit (GB)
- University of Cambridge (GB)
- University of York (GB)
Publication Details
- Journal
- Frontiers in Human Neuroscience
- Published
- 2025-07-30
- DOI
- https://doi.org/10.3389/fnhum.2025.1533034
- Primary Topic
- Functional Brain Connectivity Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00