Department of Clinical Neurophysiology, Royal Hallamshire Hospital, Sheffield, UK.
Epilepsy Behav. 2011 Dec;22(4):685-91. doi: 10.1016/j.yebeh.2011.08.020. Epub 2011 Oct 4.
Heart rate variability (HRV) metrics provide reliable information about the functioning of the autonomic nervous system (ANS) and have been discussed as biomarkers in anxiety and personality disorders. We wanted to explore the potential of various HRV metrics (VLF, LF, HF, SDNN, RMSSD, cardiovagal index, cardiosympathetic index, approximate entropy) as biomarkers in patients with psychogenic nonepileptic seizures (PNES). HRV parameters were extracted from 3-minute resting single-lead ECGs of 129 subjects (52 with PNES, 42 with refractory epilepsy and 35 age-matched healthy controls). Compared with healthy controls, both patient groups had reduced HRV (all measures P<0.03). Binary logistic regression analyses yielded significant models differentiating between healthy controls and patients with PNES or patients with epilepsy (correctly classifying 86.2 and 93.5% of cases, respectively), but not between patients with PNES and those with epilepsy. Interictal resting parasympathetic activity and sympathetic activity differ between healthy controls and patients with PNES or those with epilepsy. However, resting HRV measures do not differentiate between patients with PNES and those with epilepsy.
心率变异性 (HRV) 指标可提供有关自主神经系统 (ANS) 功能的可靠信息，并已被讨论为焦虑症和人格障碍的生物标志物。我们想探讨各种 HRV 指标（VLF、LF、HF、SDNN、RMSSD、心脏迷走神经指数、心脏交感神经指数、近似熵）在精神性非癫痫性发作 (PNES) 患者中作为生物标志物的潜力。从 129 名受试者的 3 分钟静息单导联心电图中提取 HRV 参数（52 名患有 PNES，42 名患有难治性癫痫，35 名年龄匹配的健康对照）。与健康对照组相比，两组患者的 HRV 均降低（所有指标均 P<0.03）。二项逻辑回归分析得出了区分健康对照组与 PNES 患者或癫痫患者的显著模型（分别正确分类 86.2%和 93.5%的病例），但不能区分 PNES 患者与癫痫患者。发作间期静息副交感神经活动和交感神经活动在健康对照组与 PNES 患者或癫痫患者之间存在差异。然而，静息 HRV 指标不能区分 PNES 患者与癫痫患者。
