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胆碱能阻滞对健康成年人脑血流自动调节的动态影响。

Dynamic effects of cholinergic blockade upon cerebral blood flow autoregulation in healthy adults.

作者信息

Marmarelis Vasilis Z, Shin Dae C, Hamner Jason W, Tan Can Ozan

机构信息

Biomedical Engineering, University of Southern CA, Los Angeles, MA, United States.

Cardiovascular Research Laboratory, Spaulding Rehabilitation Hospital, Boston, MA, United States.

出版信息

Front Physiol. 2022 Nov 2;13:1015544. doi: 10.3389/fphys.2022.1015544. eCollection 2022.

Abstract

Cerebral flow autoregulation (CFA) is a homeostatic mechanism critical for survival. The autonomic nervous system (ANS) plays a key role in maintaining proper CFA function. More quantitative studies of how the ANS influences CFA are desirable. To discover and quantify the dynamic effects of cholinergic blockade upon CFA in response to changes of arterial blood pressure and blood CO2 tension in healthy adults. We analyzed time-series data of spontaneous beat-to-beat mean arterial blood pressure (ABP) and cerebral blood flow velocity in the middle cerebral arteries (CFV), as well as breath-to-breath end-tidal CO2 (CO2), collected in 9 adults before and after cholinergic blockade, in order to obtain subject-specific predictive input-output models of the dynamic effects of changes in ABP and CO2 (inputs) upon CFV (output). These models are defined in convolutional form using "kernel" functions (or, equivalently, Transfer Functions in the frequency domain) that are estimated the robust method of Laguerre expansions. Cholinergic blockade caused statistically significant changes in the obtained kernel estimates (and the corresponding Transfer Functions) that define the linear dynamics of the ABP-to-CFV and CO2-to-CFV causal relations. The kernel changes due to cholinergic blockade reflect the effects of the cholinergic mechanism and exhibited, in the frequency domain, resonant peaks at 0.22 Hz and 0.06 Hz for the ABP-to-CFV and CO2-to-CFV dynamics, respectively. Quantitative estimates of the dynamics of the cholinergic component in CFA are found as average changes of the ABP-to-CFV and CO2-to-CFV kernels, and corresponding Transfer Functions, before and after cholinergic blockade.

摘要

脑血流自动调节(CFA)是一种对生存至关重要的稳态机制。自主神经系统(ANS)在维持适当的CFA功能中起关键作用。需要更多关于ANS如何影响CFA的定量研究。目的是发现并量化胆碱能阻滞对健康成年人CFA的动态影响,以应对动脉血压和血液二氧化碳张力的变化。我们分析了9名成年人在胆碱能阻滞前后收集的逐搏平均动脉血压(ABP)、大脑中动脉脑血流速度(CFV)以及逐次呼吸末二氧化碳(CO2)的时间序列数据,以获得ABP和CO2变化(输入)对CFV(输出)动态影响的个体特异性预测输入-输出模型。这些模型以卷积形式使用“核”函数(或等效地,频域中的传递函数)定义,这些函数通过拉盖尔展开的稳健方法进行估计。胆碱能阻滞导致所获得的核估计值(以及相应的传递函数)发生统计学上显著的变化,这些估计值定义了ABP与CFV以及CO2与CFV因果关系的线性动力学。胆碱能阻滞引起的核变化反映了胆碱能机制的作用,并且在频域中,ABP与CFV以及CO2与CFV动力学分别在0.22 Hz和0.06 Hz处出现共振峰。通过胆碱能阻滞前后ABP与CFV以及CO2与CFV核的平均变化以及相应的传递函数,获得了CFA中胆碱能成分动力学的定量估计。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8879/9666788/2f9e6012be35/fphys-13-1015544-g001.jpg

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