SMR applied to EEG and iEEG data shows strong reconstruction persists after excluding local neighbors, indicating that electrode signals contain both local redundancy and broader distributed structure.
Available: https://www.frontiersin.org/articles/10.3389/fnsys.2015.00175
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Constructs hypergraphs from caCOH multivariate connectivity for EEG/MEG, recovering simulated coupling frequencies better than MSC graphs with reduction from 610 edges to 10 or 1 hyperedges.
The paper reviews existing signal processing strategies for brain-heart interactions, their usability in biomarker development, and key challenges for future work.
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Spatially Masked Regression Reveals Local and Distributed Predictability in Electrophysiological Recordings
SMR applied to EEG and iEEG data shows strong reconstruction persists after excluding local neighbors, indicating that electrode signals contain both local redundancy and broader distributed structure.
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Hypergraphs from multivariate connectivity: caCOH-based EEG/MEG representation
Constructs hypergraphs from caCOH multivariate connectivity for EEG/MEG, recovering simulated coupling frequencies better than MSC graphs with reduction from 610 edges to 10 or 1 hyperedges.
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Measures and Models of Brain-Heart Interactions
The paper reviews existing signal processing strategies for brain-heart interactions, their usability in biomarker development, and key challenges for future work.