Bourez-Swart Mireille D, van Rooij Linda, Rizzo Cristiano, de Vries Linda S, Toet Mona C, Gebbink Tineke A, Ezendam Anja G J, van Huffelen Alexander C
Department of Clinical Neurophysiology, University Medical Center Utrecht/Wilhelmina Children's Hospital, Rudolf Magnus Institute of Neuroscience Utrecht, The Netherlands.
Department of Neonatology, University Medical Center Utrecht/Wilhelmina Children's Hospital, Utrecht, The Netherlands.
Clin Neurophysiol. 2009 Nov;120(11):1916-1922. doi: 10.1016/j.clinph.2009.08.015. Epub 2009 Sep 25.
To compare the seizure pattern detection rate of single-channel and multichannel amplitude-integrated EEG (aEEG), using conventional EEG (cEEG) as a gold standard, in full-term neonates with hypoxic-ischemic encephalopathy. The optimal electrode derivation for seizure detection with single-channel aEEG was also investigated.
Twelve infants with cEEG seizure patterns (10s) were investigated. cEEG signals were transformed into aEEG signals. Seizure patterns and the number of patients identified with 1 seizure patterns were calculated for single- and multichannel aEEG.
On cEEG, 121 seizure patterns with a mean duration of 58s were identified, 68% of which occurred over the centrotemporal region. The sensitivity of aEEG for the detection of seizure patterns was 30% (C.I.: 0.22-0.38) for single-channel aEEG and 39% (C.I.: 0.31-0.48) for multichannel aEEG. Multichannel aEEG identified all patients with 1 seizure pattern (C.I.: 0.75-1.00), whereas single-channel aEEG (with C4-C3 as the optimal electrode derivation) identified all but one of the patients (C.I.: 0.66-0.99).
Seizure pattern detection rate is slightly better with multichannel aEEG compared with single-channel (C4-C3) aEEG. Multichannel aEEG identified correctly all patients with 1 seizure pattern in this small selection of patients.
Single-channel aEEG may detect most patients (in a selected group) with severe neonatal seizures patterns; patient identification can be improved using multichannel recordings.
以传统脑电图(cEEG)作为金标准,比较单通道和多通道振幅整合脑电图(aEEG)对足月缺氧缺血性脑病新生儿癫痫发作模式的检测率。同时研究单通道aEEG检测癫痫发作的最佳电极导联。
对12例有cEEG癫痫发作模式(持续10秒)的婴儿进行研究。将cEEG信号转换为aEEG信号。计算单通道和多通道aEEG的癫痫发作模式及识别出有1种癫痫发作模式的患者数量。
在cEEG上,共识别出121种癫痫发作模式,平均持续时间为58秒,其中68%发生在中央颞区。单通道aEEG检测癫痫发作模式的敏感性为30%(置信区间:0.22 - 0.38),多通道aEEG为39%(置信区间:0.31 - 0.48)。多通道aEEG识别出所有有1种癫痫发作模式的患者(置信区间:0.75 - 1.00),而单通道aEEG(以C4 - C3作为最佳电极导联)除1例患者外识别出了所有患者(置信区间:0.66 - 0.99)。
与单通道(C4 - C3)aEEG相比,多通道aEEG的癫痫发作模式检测率略高。在这一小部分患者中,多通道aEEG正确识别出了所有有1种癫痫发作模式的患者。
单通道aEEG可能检测出大多数(特定组中)患有严重新生儿癫痫发作模式的患者;使用多通道记录可提高患者识别率。