Causal relationship between neuronal activity and cerebral hemodynamics in patients with ischemic stroke.
Causal relationship between neuronal activity and cerebral hemodynamics in patients with ischemic stroke.
复制标题
缺血性脑卒中患者神经元活动与脑血流动力学的因果关系
DOI：
10.1088/1741-2552/ab75af
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发表时间：
2020-03-19
影响因子：
4
通讯作者：
Hu X
中科院分区：
文献类型：
--
作者：
Wu D;Liu X;Gadhoumi K;Pu Y;Hemphill JC;Zhang Z;Liu L;Hu X
Objective.神经血管耦合使得脑血流（CBF）能够快速适应以支持神经元活动。现代技术能够同时记录神经元活动和血液动力学参数。然而，脑电活动和CBF之间的因果关系仍然不清楚。本研究应用格兰杰因果关系分析法探讨经颅多普勒脑血流速度与体表脑电图的因果关系。Approach.本文对17例急性缺血性脑卒中患者进行了20次EEG和FV同步记录。每例患者同时连续监测EEG和大脑中动脉或大脑后动脉的双侧FV。通过GC指数（GCI）研究FV（0.006-0.4 Hz）和EEG（δ、θ、α、β和γ频段）之间的因果相互作用。为了使GCI具有可比性，计算了G-因果关系具有统计学显著性的GCI（PGCI）值的比例。出院时分别记录NIH卒中量表（NIHSS）和改良兰金量表（mRS）神经功能缺损评分。将患者分为死亡组（mRS = 6）和存活组（mRS = 1 ~ 5），以及良好组（mRS：1 ~ 2）和不良组（mRS：3 ~ 6）。主要结果。本研究确定了EEG→FV的因果关系，表明EEG包含可用于FV预测的信息。PGCI与mRS呈负相关（p < 0.05），提示预后较好的患者EEG与FV之间存在较强的因果关系。NIHSS评分与双侧PGCI的不对称性呈负相关，计算为病变侧和非病变侧PGCI之间的差异。意义在缺血性卒中患者中，EEG→FV可能存在因果关系。G-因果关系的强度可能与出院时卒中严重程度相关。
Objective. Neurovascular coupling enables rapid adaptation of cerebral blood flow (CBF) to support neuronal activity. Modern techniques enable the simultaneous recording of neuronal activities and hemodynamic parameters. However, the causal relationship between electrical brain activity and CBF is still unclarified. In this study, we investigated the causal relationship between surface electroencephalogram (EEG) and cerebral blood flow velocity (FV) from transcranial Doppler using Granger causality (GC) analysis. Approach. Twenty simultaneous recordings of EEG and FV from 17 acute ischemic stroke patients were studied. Each patient had simultaneous, continuous monitoring of EEG and bilateral FVs in either the middle cerebral arteries or posterior cerebral arteries. The causal interactions between FV (0.006–0.4 Hz) and EEG (delta, theta, alpha, beta and gamma bands) were investigated through GC index (GCI). In order to make the GCIs comparable, the proportion of GCI (PGCI) values where G-causality is statistically significant were calculated. Scores on the NIH Stroke Scale (NIHSS) and the modified Rankin Scale (mRS) for neurologic disability were recorded respectively at discharge. Patients were divided into a deceased (mRS = 6) and a survival group (mRS = 1 to 5), and a favorable (mRS: 1 to 2) and unfavorable outcome group (mRS: 3 ~ 6). Main results. This study identified a causal relationship from EEG→FV, indicating EEG contained information that can be used for FV prediction. PGCI was negatively related with mRS (p < 0.05), indicating that stronger causalities between EEG and FV exist in patients with better outcome. The NIHSS was negatively related with the asymmetry of the two-side PGCI, calculated as the difference between the lesional side and non-lesional side PGCI. Significance. A causal relationship from EEG→FV may exist in patients with ischemic stroke. The strength of G-causality may be related to stroke severity at discharge.
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影响因子：
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作者：
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通讯作者：
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