Autonomic epilepsy - The influence of epileptic discharges on heart rate and rhythm

Citation
C. Schernthaner et al., Autonomic epilepsy - The influence of epileptic discharges on heart rate and rhythm, WIEN KLIN W, 111(10), 1999, pp. 392-401
Citations number
36
Categorie Soggetti
General & Internal Medicine
Journal title
WIENER KLINISCHE WOCHENSCHRIFT
ISSN journal
00435325 → ACNP
Volume
111
Issue
10
Year of publication
1999
Pages
392 - 401
Database
ISI
SICI code
0043-5325(19990521)111:10<392:AE-TIO>2.0.ZU;2-0
Abstract
Purpose: To study cardiac alterations (changes in heart rate and cardiac ar rhythmias) at the transition from the pre-ictal to the ictal state during f ocal epileptic seizures. Methods: We assessed ECG changes during 92 seizures recorded with scalp EEG in 30 patients and 35 seizures in 11 patients evaluated with subdural stri p and/or grid electrodes. Consecutive RR intervals were analyzed with a new ly developed mathematical model for a total of 90 seconds (60 seconds pre-i ctal, 30 seconds ictal). Results: We found an ictal tachycardia (heart rate increase > 10 bpm) in 82 .5% of seizures, and an ictal bradycardia (heart rate decrease > 10 bpm) in 3.3% of seizures. Bradycardia was only observed in seizures of frontal rob e origin. Heart rate changes occurred several seconds prior to EEG seizure onset on scalp-EEG in 76.1% of seizures, but also prior to EEG seizure onse t on invasive EEG in 45.7% of seizures. Early tachycardia occurred signific antly more often in temporal than in frontal lobe origin seizures. We found no significant effect of the side of seizure onset on both the quality and quantity of ictal heart rate changes. The occurrence of an aura or of awak ening prior to the seizure had no influence on peri-ictal heart rate change s. Low risk cardiac arrhythmias were more frequently observed in frontal lo be origin seizures. Conclusions: Epileptic discharges directly influence portions of the centra l autonomic network, within a brain area too small or too deep to be detect ed on EEG, most likely deep mesial structures such as the amygdala or porti ons of the hippocampus. The potential clinical applications of our results include (1) automatic seizure detection, (2) differentiation between seizur es of temporal and frontal lobe origin, (3) detection of peri-ictal cardiac arrhythmias, and (4) clarification of SUDS (sudden unexplained death syndr ome) in epilepsy.