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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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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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.