Integrative physiological and computational approaches to understand autonomic control of cerebral autoregulation.
Integrative physiological and computational approaches to understand autonomic control of cerebral autoregulation.
复制标题
综合生理和计算方法，以了解对脑自动调节的自主神经控制。
DOI：
10.1113/expphysiol.2013.072355
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发表时间：
2014-01
影响因子：
2.7
通讯作者：
Taylor JA
中科院分区：
文献类型：
--
作者：
Tan CO;Taylor JA
大脑需要稳定的氧气和葡萄糖输送，否则神经退行性疾病会在几分钟内发生。因此，脑脉管系统在面对变化的全身压力时保持相对稳定的血流的能力，即脑自动调节，对于神经生理健康至关重要。尽管自动调节的研究可以追溯到 20 世纪初期，但直到最近有了高时间分辨率的脑血流测量，才允许快速、逐次心跳测量来探索自动调节的特征和机制。通过应用复杂的计算方法来利用可获取的大量数据，这些探索得到了进一步增强。这些进步带来了独特的见解。例如，最近的研究揭示了大脑自动调节最活跃的特征时间尺度，以及自主神经机制最有效的特定区域。然而，鉴于尽管压力变化，针对压力波动的有效脑自动调节会导致流量相对不变，因此估计压力-流量关系可能会受到自动调节功能计算模型固有误差的限制。本综述将从综合生理学和角度重点关注健康和疾病中脑血管系统的自主神经控制。它还将对当前理解大脑自动调节的分析方法进行批判性概述。
The brain requires steady delivery of oxygen and glucose, without which neurodegeneration occurs within minutes. Thus, the ability of the cerebral vasculature to maintain relatively steady blood flow in the face of changing systemic pressure, i.e., cerebral autoregulation, is critical to neurophysiologic health. Although the study of autoregulation dates to the early 20th century, only the recent availability of cerebral blood flow measures with high temporal resolution has allowed rapid, beat-by-beat measurements to explore the characteristics and mechanisms of autoregulation. These explorations have been further enhanced by the ability to apply sophisticated computational approaches that exploit the large amounts of data that can be acquired. These advances have led to unique insights. For example, recent studies have revealed characteristic time scales wherein cerebral autoregulation is most active, and specific regions wherein autonomic mechanisms are prepotent. However, given that effective cerebral autoregulation against pressure fluctuations results in relatively unchanging flow despite changing pressure, estimating the pressure-flow relationship can be limited by the error inherent in computational models of autoregulatory function. This review will focus on the autonomic neural control of the cerebral vasculature in health and disease from an integrative physiologic and perspective. It will also provide a critical overview of the current analytic approaches to understand cerebral autoregulation.
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影响因子：
8.3
作者：
Hamner JW;Tan CO;Lee K;Cohen MA;Taylor JA
通讯作者：
Taylor JA
影响因子：
8.3
作者：
Aaslid, Rune;Blaha, Martin;Newell, David W.
通讯作者：
Newell, David W.
影响因子：
5.5
作者：
Hamner, J. W.;Tan, Can Ozan;Taylor, J. Andrew
通讯作者：
Taylor, J. Andrew
影响因子：
11
作者：
Czosnyka, M;Smielewski, P;Pickard, JD
通讯作者：
Pickard, JD
影响因子：
3.2
作者：
Birch, AA;Neil-Dwyer, G;Murrills, AJ
通讯作者：
Murrills, AJ