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多変量自己回帰モデルによるヒト神経性循環調節のシステム同定に関する研究

利用多元自回归模型进行人体神经循环调节的系统识别研究

基本信息

批准号：
12680851
负责人：
SUGIYAMA Yoshiki
金额：
$ 2.18万
依托单位：
Aichi Medical University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (C)
财政年份：
2000
资助国家：
日本
起止时间：
2000 至 2001
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-12680851/
关键词：
neural control of systemic circulation multivariate autoregressive model baroreflex muscle sympathetic nerve activity impulse response system identification lower body negative pressure neck chamber method 筋交感神経活動圧受容器反射機能下半身陰圧負荷マイ

项目摘要

Closed loop analysis using a multivariate auto-regressive model was applied to time series data for the RR interval (RRI), mean blood pressure (BP), vasomotor sympathetic nerve activity recorded as muscle sympathetic nerve activity (MSNA) and respiration with subjects, to determine integratively the neural control of human systemic circulation at supine rest, during head-up tilt and in elderly subjects. The auto-power spectral density curves showed the existence of Mayor's and respiratory rhythms, in which the coherence indicated a linear linkage among these variables. A noise contribution analysis revealed that Mayer's waves in BP are derived from the combination of both BP and MSNA. At supine rest, impulse responses, when assuming 1 mmHg elevation in BP, showed that MSNA is transiently suppressed (BP-to-MSNA response) and RRI is elongated by 4 ms in the following second (BP-to-RRI response). On the other hand, the MSNA-to-BP response revealed that MSNA discharge induces a prolonged (up to 30 s) elevation in BP, while RRI-to-BP response elicited a transient decrease in BP. During head-up tilt, impulse response analysis showed that MSNA-to-BP response was accentuated and prolonged, and that BP-to-RRI response was suppressed, compared with those in a supine position. RRI-to-BP and BP-to-MSNA were unchanged. In elderly subjects, BP-to-RRI response was diminished, whereas BP-to-MSNA response was unchanged. MSNA-to-BP response was markedly reduced, while RRI-to-BP response was unchanged. These results suggest that closed loop analysis using a multivariate auto-regressive model can describe qualitatively and quantitatively the neural control of human systemic circulation. However, further investigation is necessary to confirm the validity of the method.

采用多变量自回归模型的闭环分析应用于RR间期（RRI），平均血压（BP），血管交感神经活动记录为肌肉交感神经活动（MSNA）和呼吸与主题的时间序列数据，以确定综合的神经控制人体体循环仰卧休息，在头向上倾斜和老年受试者。自功率谱密度曲线显示存在Mayor和呼吸节律，其中的一致性表明这些变量之间的线性联系。噪声贡献分析表明，BP中的Mayer波来自BP和MSNA的组合。在仰卧位休息时，当假设BP升高1 mmHg时，脉冲反应显示MSNA被短暂抑制（BP-至-MSNA反应），RRI在下一秒延长4 ms（BP-至-RRI反应）。另一方面，MSNA对BP的反应表明，MSNA放电诱导BP的延长（长达30 s）的升高，而RRI对BP的反应引起BP的短暂下降。在头高位倾斜时，脉冲响应分析显示，与仰卧位相比，MSNA对BP的反应加重和延长，BP对RRI的反应被抑制。RRI至BP和BP至MSNA无变化。在老年受试者中，BP对RRI的反应减弱，而BP对MSNA的反应不变。MSNA对BP的反应明显降低，而RRI对BP的反应没有变化。这些结果表明，闭环分析使用多元自回归模型可以定性和定量地描述人体体循环的神经控制。然而，需要进一步的研究来确认该方法的有效性。