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静息态 EEG 用于特发性癫痫和非癫癎性发作的诊断:系统评价。

Resting-state EEG for the diagnosis of idiopathic epilepsy and psychogenic nonepileptic seizures: A systematic review.

机构信息

Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, 16 De Crespigny Park, Camberwell, London SE5 8AB, United Kingdom.

Department of Neurophysiology, Great Ormond Street Hospital, Great Ormond Street, London WC1N 3JH, United Kingdom.

出版信息

Epilepsy Behav. 2021 Aug;121(Pt A):108047. doi: 10.1016/j.yebeh.2021.108047. Epub 2021 Jun 3.

DOI:10.1016/j.yebeh.2021.108047
PMID:34091130
Abstract

Quantitative markers extracted from resting-state electroencephalogram (EEG) reveal subtle neurophysiological dynamics which may provide useful information to support the diagnosis of seizure disorders. We performed a systematic review to summarize evidence on markers extracted from interictal, visually normal resting-state EEG in adults with idiopathic epilepsy or psychogenic nonepileptic seizures (PNES). Studies were selected from 5 databases and evaluated using the Quality Assessment of Diagnostic Accuracy Studies-2. 26 studies were identified, 19 focusing on people with epilepsy, 6 on people with PNES, and one comparing epilepsy and PNES directly. Results suggest that oscillations along the theta frequency (4-8 Hz) may have a relevant role in idiopathic epilepsy, whereas in PNES there was no evident trend. However, studies were subject to a number of methodological limitations potentially introducing bias. There was often a lack of appropriate reporting and high heterogeneity. Results were not appropriate for quantitative synthesis. We identify and discuss the challenges that must be addressed for valid resting-state EEG markers of epilepsy and PNES to be developed.

摘要

从静息态脑电图 (EEG) 中提取的定量标志物揭示了微妙的神经生理动力学,这可能为支持癫痫发作障碍的诊断提供有用的信息。我们进行了一项系统评价,以总结关于从特发性癫痫或心因性非癫痫性发作 (PNES) 成人的间歇期、视觉正常静息态 EEG 中提取的标志物的证据。从 5 个数据库中选择研究,并使用诊断准确性研究的质量评估-2 进行评估。确定了 26 项研究,其中 19 项专注于癫痫患者,6 项专注于 PNES 患者,一项直接比较癫痫和 PNES。结果表明,θ频率 (4-8 Hz) 范围内的振荡可能在特发性癫痫中具有重要作用,而在 PNES 中则没有明显的趋势。然而,这些研究受到了一些潜在引入偏倚的方法学限制。通常缺乏适当的报告和高度的异质性。结果不适合进行定量综合。我们确定并讨论了必须解决的挑战,以便开发有效的癫痫和 PNES 的静息态 EEG 标志物。

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