Khadjevand Fatemeh, Cimbalnik Jan, Worrell Gregory A
Mayo Systems Electrophysiology Laboratory, Department of Neurology, Mayo Clinic, 200 First St SW, Rochester MN, 55905, USA.
International Clinical Research Center, St. Anne's University Hospital, Brno, Czech Republic.
Curr Opin Biomed Eng. 2017 Dec;4:87-96. doi: 10.1016/j.cobme.2017.09.006. Epub 2017 Sep 22.
High-frequency oscillations (HFOs: 100 - 600 Hz) have been widely proposed as biomarkers of epileptic brain tissue. In addition, HFOs over a broader range of frequencies spanning 30 - 2000 Hz are potential biomarkers of both physiological and pathological brain processes. The majority of the results from humans with focal epilepsy have focused on HFOs recorded directly from the brain with intracranial EEG (iEEG) in the high gamma (65 - 100 Hz), ripple (100 - 250 Hz), and fast ripple (250 - 600 Hz) frequency ranges. These results are supplemented by reports of HFOs recorded with iEEG in the low gamma (30 - 65Hz) and very high frequency (500 - 2000 Hz) ranges. Visual detection of HFOs is laborious and limited by poor inter-rater agreement; and the need for accurate, reproducible automated HFOs detection is well recognized. In particular, the clinical translation of HFOs as a biomarker of the epileptogenic brain has been limited by the ability to reliably detect and accurately classify HFOs as physiological or pathological. Despite these challenges, there has been significant progress in the field, which is the subject of this review. Furthermore, we provide data and corresponding analytic code in an effort to promote reproducible research and accelerate clinical translation.
高频振荡(HFOs:100 - 600Hz)已被广泛认为是癫痫脑组织的生物标志物。此外,频率范围更广(30 - 2000Hz)的HFOs是生理和病理脑过程的潜在生物标志物。大多数局灶性癫痫患者的研究结果集中在通过颅内脑电图(iEEG)直接从大脑记录的高伽马(65 - 100Hz)、涟漪(100 - 250Hz)和快速涟漪(250 - 600Hz)频率范围内的HFOs。这些结果得到了在低伽马(30 - 65Hz)和极高频(500 - 2000Hz)范围内通过iEEG记录的HFOs报告的补充。通过视觉检测HFOs既费力,且评分者间一致性差;准确、可重复的自动HFOs检测的需求已得到广泛认可。特别是,HFOs作为致痫性脑生物标志物的临床转化受到可靠检测并准确将HFOs分类为生理性或病理性的能力的限制。尽管存在这些挑战,但该领域已取得重大进展,这也是本综述的主题。此外,我们提供数据和相应的分析代码,以促进可重复研究并加速临床转化。