Gonsisko Colton B, Cai Zhengxiang, Jiang Xiyuan, Duque Lopez Andrea M, Worrell Gregory A, He Bin
Department of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA.
Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA.
Epilepsia. 2024 Dec;65(12):3571-3582. doi: 10.1111/epi.18141. Epub 2024 Oct 10.
Epilepsy raises critical challenges to accurately localize the epileptogenic zone (EZ) to guide presurgical planning. Previous research has suggested that interictal spikes overlapping with high-frequency oscillations, referred to here as pSpikes, serve as a reliable biomarker for EZ estimation, but there remains a question as to whether and to how pSpikes perform as compared to other types of epileptic spikes. This study aims to address this question by investigating the source imaging capabilities of pSpikes alongside other spike types.
A total of 2819 interictal spikes from 76-channel scalp electroencephalography (EEG) were analyzed in a cohort of 24 drug-resistant focal epilepsy patients. All patients received surgical resection, and 16 were declared seizure-free based on at least 1 year of postoperative follow-up. A recently developed electrophysiological source imaging algorithm-fast spatiotemporal iteratively reweighted edge sparsity (FAST-IRES)-was used for source imaging of the detected interictal spikes. The performance of 217 pSpikes was compared with 772 nSpikes (spikes with irregular high-frequency activations), 1830 rSpikes (spikes with no high-frequency activity), and all 2819 aSpikes (all interictal spikes).
The localization and extent estimation using pSpikes are concordant with the clinical ground truth; using pSpikes yields the best performance compared with nSpikes, rSpikes, and conventional spike imaging (aSpikes). For multiple spike type seizure-free patients, the mean localization error for pSpike imaging was 6.8 mm, compared with 15.0 mm for aSpikes. The sensitivity, precision, and specificity were .41, .67, and .93 for pSpikes compared with .32, .48, and .93 for aSpikes.
These results demonstrate the merits of noninvasive EEG source localization, and that (1) pSpike is a superior biomarker, outperforming conventional spike imaging for the localization of epileptic sources, and especially those with multiple irritative zones; and (2) FAST-IRES provides accurate source estimation that is highly concordant with clinical ground truth, even in situations of single spike analysis with low signal-to-noise ratio.
癫痫给准确确定致痫区(EZ)以指导术前规划带来了严峻挑战。先前的研究表明,与高频振荡重叠的发作间期棘波,在此称为pSpikes,可作为估计EZ的可靠生物标志物,但与其他类型的癫痫棘波相比,pSpikes是否以及如何发挥作用仍存在疑问。本研究旨在通过研究pSpikes与其他棘波类型的源成像能力来解决这个问题。
对24例药物难治性局灶性癫痫患者队列中的76通道头皮脑电图(EEG)记录的总共2819个发作间期棘波进行了分析。所有患者均接受了手术切除,其中16例在术后至少1年的随访中被宣布无癫痫发作。使用一种最近开发的电生理源成像算法——快速时空迭代重加权边缘稀疏性(FAST-IRES)——对检测到的发作间期棘波进行源成像。将217个pSpikes的性能与772个nSpikes(具有不规则高频激活的棘波)、1830个rSpikes(无高频活动的棘波)以及所有2819个aSpikes(所有发作间期棘波)进行了比较。
使用pSpikes进行的定位和范围估计与临床实际情况一致;与nSpikes、rSpikes和传统棘波成像(aSpikes)相比,使用pSpikes产生的性能最佳。对于多种棘波类型的无癫痫发作患者,pSpike成像的平均定位误差为6.8毫米,而aSpikes为15.0毫米。pSpikes的敏感性、精确度和特异性分别为0.41、0.67和0.93,而aSpikes分别为0.32、0.48和0.93。
这些结果证明了无创性脑电图源定位的优点,并且(1)pSpike是一种优越的生物标志物,在癫痫源定位方面优于传统棘波成像,尤其是对于那些具有多个刺激区的情况;(2)即使在低信噪比的单棘波分析情况下,FAST-IRES也能提供与临床实际情况高度一致的准确源估计。