Directed Connectivity Analysis of the Neuro-Cardio- and Respiratory Systems Reveals Novel Biomarkers of Susceptibility to SUDEP.

Directed Connectivity Analysis of the Neuro-Cardio- and Respiratory Systems Reveals Novel Biomarkers of Susceptibility to SUDEP.
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DOI:
10.1109/ojemb.2020.3036544
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发表时间:
2020
影响因子:
5.8
通讯作者:
Iasemidis L
Iasemidis L
中科院分区:
其他
文献类型:
--
作者:
Hutson TN;Rezaei F;Gautier NM;Indumathy J;Glasscock E;Iasemidis L

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癫痫猝死(SUDEP)是癫痫相关死亡的主要原因,其病理生理机制尚不清楚。目标:我们首次记录和分析来自对照(WT -野生型)和SUDEP易感小鼠(KO-敲除Kcna 1动物模型)的并发脑电图(EEG)、心电图(ECG)和无限制的全身体积描记(Pleth)信号。研究方法:采用多变量自回归模型(MVAR),我们测量了所有的三器官有效的方向相互作用的广义偏定向相干(GPDC)在频域随时间(小时)。结果如下:与对照(WT)动物相比,SUDEP易感(KO)动物表现出(p < 0.001)在全频谱(0- 200 Hz)上减少心脏和大脑之间的传入和传出相互作用,在高频率(>90 Hz)下增强从大脑到肺和从心脏到肺的传出相互作用(特别是在癫痫发作活动期间),以及在低频率(<40 Hz)下从肺到大脑的反馈减少。结论:这些结果表明,在整体神经-心脏-呼吸网络中的传入和传出通路的损伤可能导致SUDEP,有效的连接措施及其动力学可以分别作为SUDEP和癫痫发作易感性的新生物标志物。
Sudden unexpected death in epilepsy (SUDEP) is the leading cause of epilepsy-related mortality and its pathophysiological mechanisms remain unknown. Goal: We set to record and analyze for the first time concurrent electroencephalographic (EEG), electrocardiographic (ECG), and unrestrained whole-body plethysmographic (Pleth) signals from control (WT - wild type) and SUDEP-prone mice (KO- knockout Kcna1 animal model). Methods: Employing multivariate autoregressive models (MVAR) we measured all tri-organ effective directional interactions by the generalized partial directed coherence (GPDC) in the frequency domain over time (hours). Results: When compared to the control (WT) animals, the SUDEP-prone (KO) animals exhibited (p < 0.001) reduced afferent and efferent interactions between the heart and the brain over the full frequency spectrum (0-200Hz), enhanced efferent interactions from the brain to the lungs and from the heart to the lungs at high (>90 Hz) frequencies (especially during periods with seizure activity), and decreased feedback from the lungs to the brain at low (<40 Hz) frequencies. Conclusions: These results show that impairment in the afferent and efferent pathways in the holistic neuro-cardio-respiratory network could lead to SUDEP, and effective connectivity measures and their dynamics could serve as novel biomarkers of susceptibility to SUDEP and seizures respectively.
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