Heers Marcel, Böttcher Sebastian, Kalina Adam, Katletz Stefan, Altenmüller Dirk-Matthias, Baroumand Amir G, Strobbe Gregor, van Mierlo Pieter, von Oertzen Tim J, Marusic Petr, Schulze-Bonhage Andreas, Beniczky Sándor, Dümpelmann Matthias
Epilepsy Center, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
Member of European Reference Network EpiCARE.
Epilepsia. 2022 Jul;63(7):1619-1629. doi: 10.1111/epi.17246. Epub 2022 Apr 16.
High counts of averaged interictal epileptiform discharges (IEDs) are key components of accurate interictal electric source imaging (ESI) in patients with focal epilepsy. Automated detections may be time-efficient, but they need to identify the correct IED types. Thus we compared semiautomated and automated detection of IED types in long-term video-EEG (electroencephalography) monitoring (LTM) using an extended scalp EEG array and short-term high-density EEG (hdEEG) with visual detection of IED types and the seizure-onset zone (SOZ).
We prospectively recruited consecutive patients from four epilepsy centers who underwent both LTM with 40-electrode scalp EEG and short-term hdEEG with 256 electrodes. Only patients with a single circumscribed SOZ in LTM were included. In LTM and hdEEG, IED types were identified visually, semiautomatically and automatically. Concordances of semiautomated and automated detections in LTM and hdEEG, as well as visual detections in hdEEG, were compared against visually detected IED types and the SOZ in LTM.
Fifty-two of 62 patients with LTM and hdEEG were included. The most frequent IED types per patient, detected semiautomatically and automatically in LTM and visually in hdEEG, were significantly concordant with the most frequently visually identified IED type in LTM and the SOZ. Semiautomated and automated detections of IED types in hdEEG were significantly concordant with visually identified IED types in LTM, only when IED types with more than 50 detected single IEDs were selected. The threshold of 50 detected IED in hdEEG was reached in half of the patients. For all IED types per patient, agreement between visual and semiautomated detections in LTM was high.
Semiautomated and automated detections of IED types in LTM show significant agreement with visually detected IED types and the SOZ. In short-term hdEEG, semiautomated detections of IED types are concordant with visually detected IED types and the SOZ in LTM if high IED counts were detected.
平均发作间期癫痫样放电(IEDs)计数高是局灶性癫痫患者准确进行发作间期电源成像(ESI)的关键组成部分。自动检测可能节省时间,但需要识别正确的IED类型。因此,我们在使用扩展头皮脑电图阵列的长期视频脑电图(EEG)监测(LTM)以及短期高密度脑电图(hdEEG)中,将IED类型的半自动检测和自动检测与IED类型及癫痫发作起始区(SOZ)的视觉检测进行了比较。
我们前瞻性地招募了来自四个癫痫中心的连续患者,这些患者同时接受了40电极头皮脑电图的LTM和256电极的短期hdEEG检查。仅纳入LTM中具有单个局限性SOZ的患者。在LTM和hdEEG中,通过视觉、半自动和自动方式识别IED类型。将LTM和hdEEG中半自动和自动检测的一致性,以及hdEEG中的视觉检测结果,与LTM中视觉检测到的IED类型和SOZ进行比较。
纳入了62例接受LTM和hdEEG检查的患者中的52例。在LTM中半自动和自动检测到的、以及在hdEEG中视觉检测到的每位患者最常见的IED类型,与LTM中最常通过视觉识别的IED类型及SOZ显著一致。仅当选择检测到单个IED超过50次的IED类型时,hdEEG中IED类型的半自动和自动检测与LTM中视觉识别的IED类型才显著一致。一半的患者达到了hdEEG中检测到50次IED的阈值。对于每位患者的所有IED类型,LTM中视觉检测与半自动检测之间的一致性较高。
LTM中IED类型的半自动和自动检测与视觉检测到的IED类型及SOZ显示出显著一致性。在短期hdEEG中,如果检测到高IED计数,则IED类型的半自动检测与LTM中视觉检测到的IED类型及SOZ一致。