Kuroda Naoto, Uda Hiroshi, Inoue Keiki, Kitazawa Yu, Osawa Shin-Ichiro, Nemoto Hitoshi, Ishida Makoto, Ukishiro Kazushi, Luat Aimee F, Endo Hidenori, Nakasato Nobukazu, Asano Eishi
Department of Pediatrics, Children's Hospital of Michigan, Detroit Medical Center, Wayne State University.
Department of Epileptology, Tohoku University Graduate School of Medicine, Sendai, Japan.
Neurology. 2025 Aug 26;105(4):e213906. doi: 10.1212/WNL.0000000000213906. Epub 2025 Jul 31.
Diseased tissues in the human brain frequently exhibit marked alterations in structural and functional properties compared with adjacent, unaffected regions, whereas healthy tissues display intrinsic, milder topographical variability in these properties. We hypothesized that the epileptogenic zone responsible for drug-resistant focal seizures would be characterized by pronounced alterations in electrographic properties relative to adjacent regions.
This international, multicenter observational study aimed to test this hypothesis by studying patients with drug-resistant focal epilepsy who underwent curative epilepsy surgery following intracranial EEG (iEEG) recording, with at least 1 year of postoperative follow-up. In this study, "neural spatial volatility" was defined as differences in interictal high-frequency electrographic measures compared with adjacent areas. We tested whether greater neural spatial volatility in resected compared to preserved sites predicts postoperative seizure freedom, independently of clinical, neuroimaging, and ictal iEEG data. In addition, we examined whether incorporating neural spatial volatility into an outcome prediction model, based on the standard-care presurgical evaluation, would improve its performance.
In a derivation cohort of 140 patients with 14,933 samples of iEEG electrodes (mean age 13.1 years; female 68 [48.6%]; postoperative seizure freedom 98 [70.0%]), greater neural spatial volatility in resected compared with preserved sites was an independent predictor of postoperative seizure freedom. The outcome prediction model considering the neural spatial volatility improved the classification performance, showing the area under the curve up to 0.825 (95% CI 0.747-0.902; < 1.0 × 10). This result was validated in an independent test dataset of 26 patients with 1,626 samples of iEEG electrodes (mean age 25.7 years; female 14 [53.8%]; postoperative seizure freedom 16 [61.5%]) at a different institution, showing the improvement of prediction performance up to 0.819 (95% CI 0.653-0.985; < 0.0005).
Despite the limitations of the retrospective study and the relatively small validation cohort, our findings suggest that increased heterogeneity in the mesoscale distribution of interictal high-frequency activity is a distinguishing feature of the epileptogenic zone in drug-resistant focal epilepsy, potentially offering a novel marker for its localization.
与相邻未受影响的区域相比,人脑病变组织在结构和功能特性上常常表现出显著改变,而健康组织在这些特性上则呈现出内在的、较轻微的地形变异性。我们推测,导致耐药性局灶性癫痫发作的致痫区相对于相邻区域,在脑电图特性上会有明显改变。
这项国际多中心观察性研究旨在通过研究耐药性局灶性癫痫患者来验证这一假设,这些患者在进行颅内脑电图(iEEG)记录后接受了根治性癫痫手术,并至少有1年的术后随访。在本研究中,“神经空间波动性”被定义为发作间期高频脑电图测量值与相邻区域相比的差异。我们测试了与保留部位相比,切除部位更大的神经空间波动性是否能独立于临床、神经影像学和发作期iEEG数据预测术后无癫痫发作。此外,我们研究了将神经空间波动性纳入基于标准术前评估的结果预测模型是否会提高其性能。
在一个由140名患者组成的推导队列中,有14933个iEEG电极样本(平均年龄13.1岁;女性68名[48.6%];术后无癫痫发作98名[70.0%]),与保留部位相比,切除部位更大的神经空间波动性是术后无癫痫发作的独立预测因素。考虑神经空间波动性的结果预测模型提高了分类性能,曲线下面积高达0.825(95%可信区间0.747 - 0.902;P < 1.0 × 10)。这一结果在另一家机构的26名患者的独立测试数据集中得到验证,该数据集有1626个iEEG电极样本(平均年龄25.7岁;女性14名[53.8%];术后无癫痫发作16名[61.5%]),显示预测性能提高到0.819(95%可信区间0.653 - 0.985;P < 0.0005)。
尽管本回顾性研究存在局限性且验证队列相对较小,但我们的研究结果表明,发作间期高频活动在中尺度分布上增加的异质性是耐药性局灶性癫痫致痫区的一个显著特征,可能为其定位提供一种新的标志物。