论文标题
在几分钟到几天内,在主题特定时间表上脑电图中的波动解释了癫痫发作的变化
Fluctuations in EEG band power at subject-specific timescales over minutes to days explain changes in seizure evolutions
论文作者
论文摘要
癫痫被认为是一种动态疾病,在这种疾病中,癫痫发作的敏感性和癫痫发作特征本身会随着时间而变化。具体而言,我们最近量化了单个患者中存在的可变电图时空癫痫发作的演变。这种可变性似乎遵循特定于主题的昼夜节律,或更长的时间尺度调制。因此,重要的是要知道连续录制的泄露IEEG功能是否可以在不同的时间范围内捕获这些调制的签名。 在这项工作中,我们分析了从视频 - 特里姆学单元中的连续颅内脑电图(IEEG)录音,并在IEEG频段力量中发现了从分钟数到十二天不等的时间标准的波动。 正如预期的那样,与以前的研究一致,我们发现所有受试者都表现出其IEEG乐队力量的昼夜节律波动。我们还发现在受试者特异性时间尺度上的其他相似幅度的波动。重要的是,我们发现这些波动在不同时间尺度上的结合可以解释大多数比率高于机会水平的受试者的癫痫发作变化。 这些结果表明,在数分钟到几天的时间尺度上,IEEG谱带功率的主体特异性波动可能是癫痫发作调节过程的标志。我们希望未来的工作可以将这些检测到的波动与它们的生物驱动器联系起来。迫切需要更好地了解癫痫发作调节过程,因为这将使新的治疗策略的发展可以最大程度地减少癫痫发作,持续时间或严重性,从而使癫痫发作的临床影响最小化。
Epilepsy is recognised as a dynamic disease, where both seizure susceptibility and seizure characteristics themselves change over time. Specifically, we recently quantified the variable electrographic spatio-temporal seizure evolutions that exist within individual patients. This variability appears to follow subject-specific circadian, or longer, timescale modulations. It is therefore important to know whether continuously-recorded interictal iEEG features can capture signatures of these modulations over different timescales. In this work, we analyse continuous intracranial electroencephalographic (iEEG) recordings from video-telemetry units and find fluctuations in iEEG band power over timescales ranging from minutes up to twelve days. As expected and in agreement with previous studies, we find that all subjects show a circadian fluctuation in their iEEG band power. We additionally find other fluctuations of similar magnitude on subject-specific timescales. Importantly, we find that a combination of these fluctuations on different timescales can explain changes in seizure evolutions in most subjects above chance level. These results suggest that subject-specific fluctuations in iEEG band power over timescales of minutes to days may serve as markers of seizure modulating processes. We hope that future work can link these detected fluctuations to their biological driver(s). There is a critical need to better understand seizure modulating processes, as this will enable the development of novel treatment strategies that could minimise the seizure spread, duration, or severity and therefore the clinical impact of seizures.