Synergistic and Redundant Brain-Heart Information in Patients with Focal Epilepsy

Luca Faes, Riccardo Pernice, Alessandro Busacca, Anton Popov, Daniele Marinazzo, Volodymyr Kharytonov, Ivan Kotiuchyi, Anton Popov, Ivan Kotiuchyi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this work, partial information decomposition (PID) was applied to the time series of heart rate and EEG amplitude variability to investigate the dynamical interactions in brain-heart coupling before and after epileptic seizures. From ECG and EEG signals collected on 23 children suffering from focal epilepsy, the RR intervals and the EEG variance at ipsilateral and contralateral temporal electrodes were computed in four different time windows before and after the seizures. Static PID was used to obtain redundant, unique and synergistic components of the total information shared between the series of RR and EEG variance. Results highlight, in the progression from preictal to postictal states, a statistically significant change of mutual information at the ipsilateral electrode and of the synergy between brain locations.
Original languageEnglish
Title of host publication2020 11th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO)
Pages1-2
Number of pages2
Publication statusPublished - 2020

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Modelling and Simulation
  • Cardiology and Cardiovascular Medicine
  • Health Informatics
  • Physiology (medical)
  • Instrumentation

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