脑电图
脑病
脑炎
医学
癫痫持续状态
发作性
亚临床感染
自身免疫性脑炎
背景(考古学)
神经科学
癫痫
儿科
心理学
病理
内科学
免疫学
精神科
生物
病毒
古生物学
作者
Harold H. Morris,Peter W. Kaplan,Nick Kane
出处
期刊:Practical Neurology
[BMJ]
日期:2023-11-30
卷期号:: pn-003798
标识
DOI:10.1136/pn-2023-003798
摘要
Electroencephalography (EEG) is a useful adjunct to clinical neurological examination, particularly as it may detect subtle or subclinical disturbance of cerebral function and it allows monitoring of cerebral activity over time. Continuous EEG combined with quantitative analysis and machine learning may help identify changes in real time, before the emergence of clinical signs and response to interventions. EEG is rarely pathognomonic in encephalopathy/encephalitis but when interpreted correctly and within the clinical context, certain phenotypes may indicate a specific pathophysiology (eg, lateralised periodic discharges in HSV-1, generalised periodic discharges in sporadic Creutzfeldt-Jakob disease, and extreme delta brushes in anti-n-methyl-D-aspartate receptor autoimmune encephalitis). EEG is included in some specialist guidelines for disease assessment, monitoring and prognostication (ie, hepatic, cancer immunotherapy, viral, prion, autoimmune encephalitis and hypoxic ischaemic encephalopathy). EEG is invaluable for confirming or excluding non-convulsive seizures or status epilepticus, particularly in critically ill patients, and in understanding new concepts such as epileptic encephalopathy and the ictal-interictal continuum.
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