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经颅磁刺激传入抑制测量的可靠性。

Reliability of transcranial magnetic stimulation measures of afferent inhibition.

机构信息

Department of Kinesiology, McMaster University, ON, Canada.

Department of Mathematics and Statistics, McMaster University, ON, Canada.

出版信息

Brain Res. 2019 Nov 15;1723:146394. doi: 10.1016/j.brainres.2019.146394. Epub 2019 Aug 16.

Abstract

Short-latency afferent inhibition (SAI) and long-latency afferent inhibition (LAI) are well-known transcranial magnetic stimulation (TMS) paradigms used to probe the sensorimotor system. To date, there is a paucity of research examining the reliability of these neurophysiological measures. This information is required to validate the utility of afferent inhibition as a biomarker of neural function. The goal of this study was to quantify the absolute reliability, relative reliability, and smallest detectable change (SDC) of SAI and LAI using a test-retest paradigm. 30 healthy individuals (20.9 ± 2.5 years) participated in two sessions (intersession interval of ~7 days). Reliability was assessed with intraclass correlation coefficients (ICC), standard error of measurement (SEM), and SDC. The results show that LAI and SAI had poor-to-moderate relative reliability as determined by the ICC, with digital nerve LAI displaying the highest relative reliability (highest ICC with smallest confidence interval). The %SEM indicated a large amount of measurement error in all measures of afferent inhibition, with LAI exhibiting more measurement error than SAI. The SDC was large at the individual level (SDC), but analyses showed that the SDC is significantly reduced at the group-level (SDC). Our results indicate that digital nerve LAI is the most reliable outcome to differentiate between individuals within a sample. Further, results suggest that SAI and LAI are not appropriate indicators of individual neurophysiological change across time but can reliably detect changes in group-averaged data providing sample sizes are sufficient.

摘要

短潜伏期传入抑制(SAI)和长潜伏期传入抑制(LAI)是用于探测感觉运动系统的众所周知的经颅磁刺激(TMS)范式。迄今为止,研究检查这些神经生理测量的可靠性的研究很少。这些信息对于验证传入抑制作为神经功能生物标志物的效用是必需的。本研究的目的是使用测试-再测试范式量化 SAI 和 LAI 的绝对可靠性、相对可靠性和最小可检测变化(SDC)。30 名健康个体(20.9±2.5 岁)参加了两个会话(间隔约 7 天)。可靠性通过组内相关系数(ICC)、测量误差标准(SEM)和 SDC 进行评估。结果表明,LAI 和 SAI 的相对可靠性较差,这是由 ICC 确定的,数字神经 LAI 显示出最高的相对可靠性(最高 ICC 和最小置信区间)。%SEM 表明所有传入抑制测量的测量误差很大,LAI 的测量误差大于 SAI。个体水平的 SDC 较大(SDC),但分析表明,在组水平(SDC)上,SDC 显著降低。我们的结果表明,数字神经 LAI 是区分样本内个体最可靠的结果。此外,结果表明 SAI 和 LAI 不是个体神经生理随时间变化的适当指标,但可以可靠地检测到群体平均数据的变化,前提是样本量足够大。

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