Advances in clinical studies of ictal asystole in epileptic seizure

VernacularTitle:癫痫性发作性心脏停搏临床研究进展
Author: Ming WEN ¹ ; Chuan LIN ; Zhanhui FENG ; Weibo WANG
Author Information

1. 成都市第三人民医院（西南交通大学附属医院）神经内科，成都　610014
Keywords: Epilepsy; Ictal asystole; Clinical features; Treatment; Machine learning
From: Chinese Journal of Neurology 2024;57(12):1377-1381
CountryChina
Language:Chinese
Abstract: Ictal asystole in epileptic seizure (IA) is one of the severe complications of epilepsy, which is associated with falls and traumatic injuries related to seizures. Epileptic patients with IA may require adjustment to their treatment, including antiseizure medications adjustment, evaluation for epilepsy surgery and consideration of cardiac pacemaker implantation. However, there is no consensus on treatment options for these patients. This review focuses on the mechanisms, clinical features, auxiliary examinations and the outcomes of different treatments in the IA patients. Machine learning has some application values in analyzing the long-term video electroencephalogram (EEG) results of such patients and exploring the correlated characteristics between EEG and heart rate variability, which may provide a new perspective for the research.