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致编辑的信:从驱动方法中推导传递函数分析指标。

Letter to the editor: Deriving transfer function analysis metrics from driven methods.

作者信息

Burma Joel S, Smirl Jonathan D

机构信息

Cerebrovascular Concussion Lab, Faculty of Kinesiology, University of Calgary, Alberta, Canada.

Sport Injury Prevention Research Centre, Faculty of Kinesiology, University of Calgary, Calgary, Alberta, Canada.

出版信息

J Cereb Blood Flow Metab. 2024 Jun;44(6):1053-1056. doi: 10.1177/0271678X231224504. Epub 2024 Mar 11.

Abstract

Driven and spontaneous methods have been used to quantify the cerebral pressure-flow relationship via transfer function analysis (TFA). Commonly, TFA derived estimates are assessed using band averages within the very-low (0.02-0.07 Hz) and low (0.07-0.20 Hz) frequency during spontaneous oscillations but are quantified at frequencies of interest where blood pressure oscillations are driven (e.g., 0.05 and/or 0.10 Hz). Driven estimates more closely resemble the autoregulatory challenges individuals experience on a daily basis, while also eliciting higher levels of reliability. While driven estimates with point-estimates are not feasible for all clinical populations, these approaches increase the ability to understand pathophysiological changes.

摘要

通过传递函数分析(TFA),已经使用驱动和自发方法来量化脑压-血流关系。通常,在自发振荡期间,使用极低频率(0.02-0.07Hz)和低频率(0.07-0.20Hz)范围内的频段平均值来评估TFA得出的估计值,但在血压振荡被驱动的感兴趣频率(例如0.05和/或0.10Hz)处进行量化。驱动估计更类似于个体日常经历的自动调节挑战,同时也具有更高的可靠性水平。虽然点估计的驱动估计并非对所有临床人群都可行,但这些方法提高了理解病理生理变化的能力。

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