Summary:Purpose: Cardiac autonomic changes accompany complex partial seizures and generalized tonic-clonic seizures, and participate, at least partially, in the sudden and unexpected death in epilepsy (SUDEP). The analysis of the heart rate variability (HRV) is one of the simplest ways of providing insight into autonomic functions. The entropy quantifies the repetition of complex patterns in a signal and refers to systems randomness, regularity, and predictability. Clinical investigations have reported that entropy decreases in patients with a high risk of sudden cardiac death. The goal of this study was to evaluate the effects of the maximal electroshock (MES) on the entropy of HRV, monitored in the immediate postictal stage in the model of the freely moving rat.Methods: Entropy changes were correlated with the high and low frequencies of spectral analysis, which reflect the participation of the sympathetic and parasympathetic activities.Results: MES-induced arrhythmia is characterized by an HRV increase, an imbalance in favor of the parasympathetic activity, and a decrease in the entropy. Entropy decrease was restricted to the duration of the arrhythmia, suggesting that the postictal arrhythmia may be associated with a higher risk of lethal cardiac complications. Nevertheless, entropy changes did not correlate with spectral changes.Conclusions: The results suggest that the imbalance demonstrated in the spectral domain explains only partially the contribution of each autonomic system in the complexity of the heart rate during the postictal state. Key Words: EpilepsyHeart rate variability-Entropy-Sudden unexpected death.Epileptic seizures are often associated with autonomic neuronal dysfunction (1), which can contribute, at least in part, to the production of cardiac arrhythmias and can increase the risk of sudden and unexpected death (2,3). Diagnostics and therapeutic improvements to prevent cerebrogenic sudden death will require a better knowledge of epilepsy-evoked arrhythmia. Cardiac autonomic changes accompany complex partial seizures and generalized tonic-clonic seizures (4,5). Electroconvulsive seizures in the cat (6) are known to induce cardiac arrhythmia, linked in part to a mixed autonomic syndrome characterized mainly by a parasympathetic component.The analysis of the heart rate variability (HRV) is relevant in neurocardiology, and it is one of the simplest ways of providing insight into autonomic functions in both patients and laboratory animals. HRV is related the variability of adjacent beat-to-beat intervals. HRV is quantified by the calculation of the standard deviation (SD). In addition to the SD, which is one of the parameters included in the time domain analysis, the frequency analysis of changes in successive beat-to-beat intervals has been proposed to evaluate the relative contribution of the sympathetic and the parasympathetic activity. The high-frequency (HF) component is attributed to vagal mechanisms (6), and the low frequency (LF) component is attributed to sympathetic activities or joi...