Mendiratta Anil
Department of Neurology, College of Physicians and Surgeons of Columbia University, 710 West 168th Street, Box 213, New York, NY 10032, USA.
Curr Neurol Neurosci Rep. 2003 Jul;3(4):332-40. doi: 10.1007/s11910-003-0011-3.
Electroencephalography (EEG) continues to be the most important diagnostic tool in the management of patients with epilepsy. In particular, the high specificity of interictal epileptiform discharges makes scalp EEG a valuable tool in the evaluation of patients with a history of seizures or seizure-like episodes. Advances in technology, most notably the development of digital video-EEG, have significantly expanded the utility of EEG. In addition to the routine EEG, long-term monitoring studies including video-EEG, ambulatory EEG, and continuous EEG monitoring play important roles in various aspects of the diagnosis and treatment of epilepsy. Recent developments in computerized seizure detection and prediction algorithms, particularly those utilizing intracranial EEG electrodes, hold promise for future development of novel treatment strategies.
脑电图(EEG)仍然是癫痫患者管理中最重要的诊断工具。特别是,发作间期癫痫样放电的高特异性使头皮脑电图成为评估有癫痫发作史或癫痫样发作史患者的有价值工具。技术进步,尤其是数字视频脑电图的发展,显著扩展了脑电图的应用。除了常规脑电图外,包括视频脑电图、动态脑电图和连续脑电图监测在内的长期监测研究在癫痫诊断和治疗的各个方面都发挥着重要作用。计算机化癫痫检测和预测算法的最新进展,尤其是那些利用颅内脑电图电极的算法,为新型治疗策略的未来发展带来了希望。