Time-variant coherence between heart rate variability and EEG activity in epileptic patients: an advanced coupling analysis between physiological networks

Time-variant coherence between heart rate variability and EEG activity in epileptic patients: an advanced coupling analysis between physiological networks
复制标题

DOI:
10.1088/1367-2630/16/11/115012
复制
发表时间:
2014-11
影响因子:
3.3
通讯作者:
D. Piper;K. Schiecke;Britta Pester;F. Benninger;M. Feucht;Herbert Witte
D. Piper;K. Schiecke;Britta Pester;F. Benninger;M. Feucht;Herbert Witte
中科院分区:
物理与天体物理2区
文献类型:
--
作者:
D. Piper;K. Schiecke;Britta Pester;F. Benninger;M. Feucht;Herbert Witte

文献摘要

相似文献

心率变异性(HRV)与自适应选择的脑电成分的通道相关包络之间的时变相干分析被用来作为癫痫发作前、中和之后中央自主神经网络(CAN)和癫痫网络之间发生(相关)耦合的指标。对两组患者进行研究,一组为左半球癫痫,一组为右半球颞叶癫痫。采用信号自适应的多变量经验模式分解方法提取单个脑电信号成分,并利用希尔伯特变换计算得到的每个固有模式函数的包络。在癫痫发作前后,发现两个包络与心率变异性低频振荡(HRV-LF;≈0.1HZ)密切相关的IMF。这些IMF的频率范围对应于EEG的增量频带。对时变相干性进行统计量化,并对时频相干性图进行张量分解,探讨相干性分析的地形-时频特性。结果支持这样一种假设,即控制心血管-心肺系统的CAN与“癫痫神经网络”之间存在耦合。此外,我们的结果证实了右半球对HRV-LF交感神经控制的偏侧化的假说。
Time-variant coherence analysis between the heart rate variability (HRV) and the channel-related envelopes of adaptively selected EEG components was used as an indicator for the occurrence of (correlative) couplings between the central autonomic network (CAN) and the epileptic network before, during and after epileptic seizures. Two groups of patients were investigated, a group with left and a group with right hemispheric temporal lobe epilepsy. The individual EEG components were extracted by a signal-adaptive approach, the multivariate empirical mode decomposition, and the envelopes of each resulting intrinsic mode function (IMF) were computed by using Hilbert transform. Two IMFs, whose envelopes were strongly correlated with the HRV’s low-frequency oscillation (HRV-LF; ≈0.1 Hz) before and after the seizure were identified. The frequency ranges of these IMFs correspond to the EEG delta-band. The time-variant coherence was statistically quantified and tensor decomposition of the time-frequency coherence maps was applied to explore the topography-time-frequency characteristics of the coherence analysis. Results allow the hypothesis that couplings between the CAN, which controls the cardiovascular-cardiorespiratory system, and the ‘epileptic neural network’ exist. Additionally, our results confirm the hypothesis of a right hemispheric lateralization of sympathetic cardiac control of the HRV-LF.