METHODS: We reviewed EEGs from our institutional database to study the prevalence of benign epileptiform variants and analyzed their frequency, topography, and other characteristics. Additionally, we investigated the co-existence of epileptiform discharges with BEVs.
RESULTS: We identified 296 patients with BEVs after reviewing 3000 EEGs (9.9%). The most common BEV was small sharp spikes (SSS), observed in 114 patients (3.8%). Wicket waves, 6 Hz spike and slow wave, 14 and 6 Hz positive bursts, and Rhythmic Temporal Theta of Drowsiness (RTTD) were identified in 67 (2.2%), 40 (1.3%), 39 (1.3%), and 35 (1.16%) patients, respectively and one patient with Subclinical Rhythmic EEG Discharges in Adults (SREDA). Additionally, we observed the co-existence of epileptiform discharges with BEVs, most commonly with SSS (27.8%).
CONCLUSIONS: The present study is a large study with 3000 EEGs to describe the BEV characteristics. BEVs were seen in 9.9% of patients, BSSS being the most common. There were minor differences in frequency, gender or age distribution compared to existing literature. We demonstrated the co-existence of epileptiform discharges. Morphological characteristics remain the cornerstone in recognising BEVs. EEG readers need to be aware of features of BEVs to avoid wrongly interpretation.
方法:我们回顾了我们的机构数据库中的脑电图,以研究良性癫痫样变异的患病率,并分析了其频率,地形,和其他特征。此外,我们调查了癫痫样放电与BEV的共存。
结果:我们在回顾了3000例脑电图(9.9%)后确定了296例BEV患者。最常见的BEV是小尖刺(SSS),在114例患者中观察到(3.8%)。Wicket波浪,6Hz尖峰和慢波,14和6Hz正脉冲串,和节律性的昏睡性时间θ(RTTD)在67(2.2%)中被确定,40(1.3%),39(1.3%),35名(1.16%)患者,分别和一名成人亚临床节律性脑电图放电(SREDA)患者。此外,我们观察到癫痫样放电与BEV共存,最常见的是SSS(27.8%)。
结论:本研究是一项大型研究,使用3000个EEG来描述BEV特征。在9.9%的患者中观察到BEV,BSSS是最常见的。频率有微小的差异,与现有文献相比,性别或年龄分布。我们证明了癫痫样放电的共存。形态特征仍然是识别BEV的基石。脑电图读者需要了解BEV的特征,以避免错误的解释。