Bayesian heart-rate entropy identifies autonomic dynamics during seizure evolution: a reproducible pilot study
Karmele Olaciregui Dague, Fernando E. Rosas, Adrian Gutierrez-Gomez, Rainer Surges, Florian Mormann, Morten L. Kringelbach
This study uses Bayesian heart-rate entropy to analyze autonomic dynamics during seizures, finding that seizure duration, not awareness, is the strongest correlate of entropy changes.
bioRxiv · Aug 4, 2026 · PreprintNeuroscience