一项系统性审查,元分析和元回归,将用于量化动态大脑自我调节的驱动方法合并在一起
Joel S Burma1,2,3,4,5,6,7, Marc-Antoine Roy8,9, Courtney M Kennedy1,2,3,4,5,6,7
1Cerebrovascular Concussion Laboratory, Faculty of Kinesiology, University of Calgary, Calgary, Canada.
概括
本综述综合了关于动态大脑自我调节 (dCA) 技术的研究,并建议对未来研究进行标准化. 它分析了113项研究,提供了对dCA评估方法和临床应用的见解.
科学领域:
- 神经科学是一个神经科学.
- 生理学 生理学 生理学
- 医学研究 医学研究
背景情况:
- 动态大脑自调节 (dCA) 对于维持稳定的大脑血流至关重要.
- 有各种技术来评估dCA,但缺乏标准化阻碍了研究的可比性.
- 了解dCA对于健康个体和临床人群至关重要.
研究的目的:
- 合并现有关于驱动dCA评估技术的文献.
- 为未来的dCA研究提供建议,以实现更大的标准化.
- 总结临床发现,并讨论不同dCA评估方法的优缺点.
主要方法:
- 在PubMed数据库的系统文献搜索,寻找对人类驱动dCA评估的原始研究文章.
- 使用苏格兰大学间指南网络和非随机研究方法指数进行偏见风险评估.
- 对0.05和0.10赫兹的连贯性,相位和增益指标的元分析,用于深呼吸,OLBNP,坐立和立动作.
主要成果:
- 包括113项研究,涉及4126名参与者,其中40项研究专注于临床人群.
- 腰站立 (n=43),深呼吸 (n=25),OLBNP (n=20) 和坐立 (n=16) 是最常见的技术.
- 聚合一致性估计因技术和频率而异,立式显示高一致性 (例如,0.98在0.05Hz).
结论:
- 该审查强调了dCA评估技术的多样性及其在临床环境中的应用.
- 建议对驱动的dCA方法进行标准化,以提高研究可靠性和可比性.
- 使用标准化的方法对dCA的生理复杂性进行进一步的研究是有必要的.
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