Dipartimento di Ingegneria, Università degli Studi di Palermo, Palermo, Italy.
Physiol Meas. 2019 Jul 23;40(7):074003. doi: 10.1088/1361-6579/ab16a3.
In this work we explore the potential of combining standard time and frequency domain indexes with novel information measures, to characterize pre- and post-ictal heart rate variability (HRV) in epileptic children, with the aim of differentiating focal and generalized epilepsy regarding the autonomic control mechanisms.
We analyze short-term HRV in 37 children suffering from generalized or focal epilepsy, monitored 10 s, 300 s, 600 s and 1800 s both before and after seizure episodes. Nine indexes are computed in time (mean, standard deviation of normal-to-normal intervals, root mean square of the successive differences (RMSSD)), frequency (low-to-high frequency power ratio LF/HF, normalized LF and HF power) and information (entropy, conditional entropy and self-entropy) domains. Focal and generalized epilepsy are compared through statistical analysis of the indexes and using linear discriminant analysis (LDA).
In children with focal epilepsy, early post-ictal phase is characterized by significant tachycardia, depressed HRV, increased LF power and LF/HF, and decreased complexity, progressively recovered across time windows after the episodes. Children with generalized seizures instead show significant tachycardia, lower RMSSD, higher LF power and LF/HF ratio before the seizure. These different behaviors are exploited by LDA analysis to separate focal and generalized epilepsy up to an accuracy of 75%. Results suggest a shift of the sympatho-vagal balance towards sympathetic dominance and vagal withdrawal, noticeable just after the termination of seizure episodes and then reverted in focal epilepsy, and persistent during inter-ictal and pre-ictal periods in generalized epilepsy.
Our analysis helps in elucidating the pathophysiology of inter-ictal HRV autonomic control and the differential diagnosis of generalized and focal epilepsy. These findings may have clinical relevance since altered sympatho-vagal control can be related to a higher danger of morbidity and mortality, may reduce thresholds for life-threatening arrhythmias, and could be a biomarker of risk for sudden unexpected death in epilepsy.
本研究旨在探索将标准的时频域指标与新的信息度量相结合,以描述癫痫儿童发作前和发作后的心率变异性(HRV),从而区分局灶性和全面性癫痫的自主神经控制机制。
我们分析了 37 名患有全面性或局灶性癫痫的儿童的短期 HRV,在发作前和发作后分别监测 10s、300s、600s 和 1800s。在时频域(平均、正常-正常间期标准差、均方根差的连续差值(RMSSD))、频率(低-高频功率比 LF/HF、归一化 LF 和 HF 功率)和信息(熵、条件熵和自熵)域中计算了 9 个指标。通过对这些指标进行统计分析和使用线性判别分析(LDA),比较局灶性和全面性癫痫。
在局灶性癫痫儿童中,发作后早期阶段表现为明显的心动过速、HRV 降低、LF 功率和 LF/HF 增加以及复杂性降低,这些变化随着时间窗口的推移逐渐恢复。而全面性癫痫发作的儿童在发作前表现为明显的心动过速、RMSSD 降低、LF 功率和 LF/HF 比值升高。这些不同的行为被 LDA 分析用来区分局灶性和全面性癫痫,准确率可达 75%。结果表明,交感神经-迷走神经平衡向交感神经优势和迷走神经撤退转移,在发作结束后即可察觉,并在局灶性癫痫中恢复,而在全面性癫痫中则在发作间期和发作前期持续存在。
我们的分析有助于阐明发作间期 HRV 自主神经控制的病理生理学,以及全面性和局灶性癫痫的鉴别诊断。这些发现可能具有临床意义,因为改变的交感神经-迷走神经控制可能与更高的发病率和死亡率有关,可能降低危及生命的心律失常的阈值,并可能成为癫痫猝死风险的生物标志物。