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利用高频振荡相对强度识别致痫区:一项立体脑电图研究。

Identifying the Epileptogenic Zone With the Relative Strength of High-Frequency Oscillation: A Stereoelectroencephalography Study.

作者信息

Qi Lei, Fan Xing, Tao Xiaorong, Chai Qi, Zhang Kai, Meng Fangang, Hu Wenhan, Sang Lin, Yang Xiaoli, Qiao Hui

机构信息

Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.

Beijing Fengtai Hospital, Beijing, China.

出版信息

Front Hum Neurosci. 2020 Jun 9;14:186. doi: 10.3389/fnhum.2020.00186. eCollection 2020.

Abstract

BACKGROUND

High-frequency oscillation (HFO) represents a promising biomarker of epileptogenicity. However, the significant interindividual differences among patients limit its application in clinical practice. Here, we applied and evaluated an individualized, frequency-based approach of HFO analysis in stereoelectroencephalography (SEEG) data for localizing the epileptogenic zones (EZs).

METHODS

Clinical and SEEG data of 19 patients with drug-resistant focal epilepsy were retrospectively analyzed. The individualized spectral power of all signals recorded by electrode array, i.e., the relative strength of HFO, was computed with a wavelet method for each patient. Subsequently, the clinical value of the relative strength of HFO for identifying the EZ was evaluated.

RESULTS

Focal increase in the relative strength of HFO in SEEG recordings were identified in all 19 patients. HFOs identified inside the clinically identified seizure onset zone had more spectral power than those identified outside ( < 0.001), and HFOs in 250-500 Hz band (fast ripples) seemed to be more specific identifying the EZ than in those in 80-250 Hz band (ripples) ( < 0.01). The resection of brain regions generating HFOs resulted in a favorable seizure outcome in 17 patients (17/19; 89.5%), while in the cases of other patients with poor outcomes, the brain regions generating HFOs were not removed completely.

CONCLUSION

The relative strength of HFO, especially fast ripples, is a promising effective biomarker for identifying the EZ and can lead to a favorable seizure outcome if used to guide epilepsy surgery.

摘要

背景

高频振荡(HFO)是一种很有前景的癫痫致痫性生物标志物。然而,患者之间存在显著的个体差异,限制了其在临床实践中的应用。在此,我们应用并评估了一种基于频率的个体化HFO分析方法,用于立体定向脑电图(SEEG)数据中癫痫灶(EZ)的定位。

方法

回顾性分析19例药物难治性局灶性癫痫患者的临床和SEEG数据。采用小波方法计算每个患者电极阵列记录的所有信号的个体化频谱功率,即HFO的相对强度。随后,评估HFO相对强度对识别EZ的临床价值。

结果

19例患者的SEEG记录中均发现HFO相对强度局灶性增加。临床确定的癫痫发作起始区内识别出的HFO比区外的具有更高的频谱功率(<0.001),并且250 - 500 Hz频段(快波)的HFO似乎比80 - 250 Hz频段(慢波)的HFO在识别EZ方面更具特异性(<0.01)。切除产生HFO的脑区使17例患者(17/19;89.5%)获得了良好的癫痫发作控制效果,而其他效果不佳的患者,产生HFO的脑区未被完全切除。

结论

HFO的相对强度,尤其是快波,是一种很有前景的有效生物标志物,可用于识别EZ,若用于指导癫痫手术可带来良好的癫痫发作控制效果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d49/7296092/227e561ff74e/fnhum-14-00186-g001.jpg

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