• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

相似文献

1
Letter to the editor: Deriving transfer function analysis metrics from driven methods.致编辑的信:从驱动方法中推导传递函数分析指标。
J Cereb Blood Flow Metab. 2024 Jun;44(6):1053-1056. doi: 10.1177/0271678X231224504. Epub 2024 Mar 11.
2
Relationship between blood pressure and cerebral blood flow during supine cycling: influence of aging.仰卧位骑行时血压与脑血流量的关系:衰老的影响
J Appl Physiol (1985). 2016 Mar 1;120(5):552-63. doi: 10.1152/japplphysiol.00667.2015. Epub 2015 Nov 19.
3
Methodological comparison of active- and passive-driven oscillations in blood pressure; implications for the assessment of cerebral pressure-flow relationships.血压主动驱动振荡与被动驱动振荡的方法学比较;对脑压力-血流关系评估的意义。
J Appl Physiol (1985). 2015 Sep 1;119(5):487-501. doi: 10.1152/japplphysiol.00264.2015. Epub 2015 Jul 16.
4
: Transfer function analysis of dynamic cerebral autoregulation: To band or not to band?动态脑自动调节传递函数分析:带通还是不带通?
J Cereb Blood Flow Metab. 2023 Sep;43(9):1628-1630. doi: 10.1177/0271678X221098448. Epub 2022 May 5.
5
Influence of cerebrovascular resistance on the dynamic relationship between blood pressure and cerebral blood flow in humans.脑血管阻力对人体血压与脑血流量动态关系的影响。
J Appl Physiol (1985). 2014 Jun 15;116(12):1614-22. doi: 10.1152/japplphysiol.01266.2013. Epub 2014 Apr 17.
6
Dynamic cerebral autoregulation during repeated handgrip exercise: comparisons with spontaneous rest and sit-stand maneuvers.动态脑自动调节在反复握力运动期间:与自发性休息和坐-站动作的比较。
J Appl Physiol (1985). 2024 Sep 1;137(3):718-727. doi: 10.1152/japplphysiol.00217.2024. Epub 2024 Aug 8.
7
Point-Counterpoint: Transfer function analysis of dynamic cerebral autoregulation: To band or not to band?观点对垒:动态脑自动调节的传递函数分析:带通滤波还是不带通滤波?
J Cereb Blood Flow Metab. 2023 Sep;43(9):1625-1627. doi: 10.1177/0271678X231182245. Epub 2023 Jun 11.
8
Responses of cerebral blood velocity and tissue oxygenation to low-frequency oscillations during simulated haemorrhagic stress in humans.在模拟人类出血应激期间低频振荡对脑血流速度和组织氧合的反应。
Exp Physiol. 2019 Aug;104(8):1190-1201. doi: 10.1113/EP087358. Epub 2019 Jun 3.
9
Test-retest reliability of transfer function analysis metrics for assessing dynamic cerebral autoregulation to spontaneous blood pressure oscillations.评估自发性血压波动的传递函数分析指标的重测信度。
Exp Physiol. 2024 Jul;109(7):1024-1039. doi: 10.1113/EP091500. Epub 2024 Apr 8.
10
Determinants of human cerebral pressure-flow velocity relationships: new insights from vascular modelling and Ca²⁺ channel blockade.人类脑压-血流速度关系的决定因素:血管建模和钙通道阻断的新见解。
J Physiol. 2011 Jul 1;589(Pt 13):3263-74. doi: 10.1113/jphysiol.2011.206953. Epub 2011 May 3.

本文引用的文献

1
Quantification of dynamic cerebral autoregulation: welcome to the jungle!动态脑自动调节的定量分析:欢迎来到丛林!
Clin Auton Res. 2023 Dec;33(6):791-810. doi: 10.1007/s10286-023-00986-2. Epub 2023 Sep 27.
2
The temporal neurovascular coupling response remains intact during sinusoidal hypotensive and hypertensive challenges.在正弦式低血压和高血压挑战期间,时变神经血管耦合反应保持完整。
Physiol Meas. 2023 Jul 24;44(7). doi: 10.1088/1361-6579/ace3a2.
3
Transfer function analysis of dynamic cerebral autoregulation: A CARNet white paper 2022 update.动态脑自动调节传递函数分析:2022 年 CARNet 白皮书更新。
J Cereb Blood Flow Metab. 2023 Jan;43(1):3-25. doi: 10.1177/0271678X221119760. Epub 2022 Aug 12.
4
Point/counterpoint: We should take the direction of blood pressure change into consideration for dynamic cerebral autoregulation quantification.正反方观点:我们应该考虑血压变化的方向来对动态脑自动调节进行定量分析。
J Cereb Blood Flow Metab. 2022 Dec;42(12):2351-2353. doi: 10.1177/0271678X221104868. Epub 2022 May 26.
5
: Transfer function analysis of dynamic cerebral autoregulation: To band or not to band?动态脑自动调节传递函数分析:带通还是不带通?
J Cereb Blood Flow Metab. 2023 Sep;43(9):1628-1630. doi: 10.1177/0271678X221098448. Epub 2022 May 5.
6
Comparison of diurnal variation, anatomical location, and biological sex within spontaneous and driven dynamic cerebral autoregulation measures.自发性和驱动性动态脑自动调节测量中的日间变化、解剖位置和生物学性别比较。
Physiol Rep. 2020 Jun;8(11):e14458. doi: 10.14814/phy2.14458.
7
Methodological comparison of active- and passive-driven oscillations in blood pressure; implications for the assessment of cerebral pressure-flow relationships.血压主动驱动振荡与被动驱动振荡的方法学比较;对脑压力-血流关系评估的意义。
J Appl Physiol (1985). 2015 Sep 1;119(5):487-501. doi: 10.1152/japplphysiol.00264.2015. Epub 2015 Jul 16.
8
Dynamic cerebral autoregulation during repeated squat-stand maneuvers.重复蹲起动作期间的动态脑自动调节
J Appl Physiol (1985). 2009 Jan;106(1):153-60. doi: 10.1152/japplphysiol.90822.2008. Epub 2008 Oct 30.
9
Transfer function analysis of dynamic cerebral autoregulation in humans.人类动态脑自动调节的传递函数分析
Am J Physiol. 1998 Jan;274(1 Pt 2):H233-41. doi: 10.1152/ajpheart.1998.274.1.h233.

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.

DOI:10.1177/0271678X231224504
PMID:38466898
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11318404/
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。