大鼠脑缺血后早期心脑耦合变化规律及预后观察

胡童宜; 戴晨曦; 王建杰; 李静茹; 何密; 李永勤

doi:10.16016/j.2097-0927.202206131

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大鼠脑缺血后早期心脑耦合变化规律及预后观察

神经科学 | 更新时间：2026-01-09

- 大鼠脑缺血后早期心脑耦合变化规律及预后观察
- Changes and prognosis of coupling between heart and brain in ischemic stroke rats
- 陆军军医大学学报 2023年45卷第4期页码：291-300
- 作者机构：
  
  1.400038 重庆，陆军军医大学(第三军医大学)生物医学工程与影像医学系
  2.401331 重庆，重庆医药高等专科学校基础部
- 作者简介：
  
  [李永勤，E-mail：leeoken@gmail.comLI Yongqin, E-mail: leeoken@gmail.com
- 基金信息：
  
  国家自然科学基金面上项目(31771070);重庆医药高等专科学校科研项目(ygz2018109)
- DOI：10.16016/j.2097-0927.202206131
  中图分类号： R331.38;R541;R743.31
- 收稿：2022-06-22，
  
  修回：2022-11-21，
  
  纸质出版：2023-02-28
- 稿件说明：
移动端阅览
胡童宜, 戴晨曦, 王建杰, 等. 大鼠脑缺血后早期心脑耦合变化规律及预后观察[J]. 陆军军医大学学报, 2023,45(4):291-300.

Tongyi HU, Chenxi DAI, Jianjie WANG, et al. Changes and prognosis of coupling between heart and brain in ischemic stroke rats[J]. Journal of Army Medical University, 2023, 45(4): 291-300.
胡童宜, 戴晨曦, 王建杰, 等. 大鼠脑缺血后早期心脑耦合变化规律及预后观察[J]. 陆军军医大学学报, 2023,45(4):291-300. DOI： 10.16016/j.2097-0927.202206131.

Tongyi HU, Chenxi DAI, Jianjie WANG, et al. Changes and prognosis of coupling between heart and brain in ischemic stroke rats[J]. Journal of Army Medical University, 2023, 45(4): 291-300. DOI： 10.16016/j.2097-0927.202206131.

摘要

目的

基于大鼠大脑中动脉闭塞(middle cerebral artery occlusion，MCAO)模型研究脑缺血后早期心脑耦合指标的变化规律及其与预后的关系。

方法

将20只7~8周龄健康雄性SD大鼠[体质量(290±25)g

]

随机分为2组(

=10)：脑缺血实验组(MCAO组)和假手术组(Sham组)。两组大鼠同步采集基线和术后0~4 h的Ⅱ导联心电图(electrocardiography，ECG)和双通道脑电图(electroencephalogram，EEG)，每24 h进行神经功能缺损评分(neurological deficit score，NDS)并记录生存时间。心电信号提取心率变异性(heart rate variability，HRV)指标：RR间期序列(RR Interval，RRI)、低频成分(low frequency，LF)、高频成分(high frequency，HF)、低高频比值(LF/HF)；脑电信号提取δ、θ、α、β波功率谱指标。基于上述指标构建心脑网络，采用转移熵算法量化不同网络节点之间的耦合强度并应用于生存预后，比较曲线下面积(area under curve，AUC)。

结果

心脑之间存在双向作用且在缺血后双向耦合均增大，其中HRV LF成分与脑电δ波功率谱之间存在明显增强的耦合作用。转移熵指标(AUC=0.717，

=0.010)在预后性能上优于HRV指标(AUC=0.571，

=0.404)和EEG功率谱指标(AUC=0.583，

=0.329)。

结论

脑缺血后心脑之间低频耦合增强，心脑耦合指标提高了预后性能。

Abstract

Objective

To study the changes of heart-brain coupling indexes after cerebral ischemia in a rat model of middle cerebral artery occlusion (MCAO) and the relationship with prognosis in the early stage.

Methods

Twenty male SD rats(7~8 weeks old

body weight 290±25 g) were randomly divided into 2 groups (

=10): the cerebral ischemia group (MCAO group) and the control group (Sham group). Lead Ⅱ electrocardiography (ECG) and dual-channel electroencephalogram (EEG) were recorded at the baseline and 0~4 h after the surgery. Neurofunctional recovery was evaluated by neurological deficit score(NDS)

via

a series of behavior tests every 24 h and survival time was recorded. The heart rate variability (HRV) indicators were extracted by the collected ECG signals

including RR interval (RRI)

low frequency (LF)

high frequency (HF) and LF/HF ratio. The power spectrum of δ

α and β waves were calculated from EEG signal. The heart-brain network was constructed based on the indicators mentioned

and the transfer entropy algorithm was used to quantify the coupling strength applied to the prognosis for survival which was analyzed and compared by the area under curve (AUC) among nodes of different networks.

Results

There was a bidirectional interaction between the brain and the heart

and the strength of two-way coupling increased after ischemia. There was obviously increased coupling between HRV LF and EEG δ wave. Transfer entropy (AUC=0.717

=0.010) was superior to the HRV (AUC=0.571

=0.404) and EEG power spectrum (AUC=0.583

=0.329) in prognostication.

Conclusion

The low-frequency coupling between heart and brain enhanced after cerebral ischemia

and the coupling index of heart and brain can improve the prognostic performance.

关键词

Keywords

references

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