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主动式机器人神经导航经颅磁刺激运动图的可靠性。

Reliability of active robotic neuro-navigated transcranial magnetic stimulation motor maps.

机构信息

Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.

Hotchkiss Brain Institute, Calgary, AB, Canada.

出版信息

Exp Brain Res. 2023 Feb;241(2):355-364. doi: 10.1007/s00221-022-06523-3. Epub 2022 Dec 16.

Abstract

Transcranial magnetic stimulation (TMS) motor mapping is a safe, non-invasive method used to study corticomotor organization and intervention-induced plasticity. Reliability of resting maps is well established, but understudied for active maps and unestablished for active maps obtained using robotic TMS techniques. The objective of  this study was to determine the reliability of robotic neuro-navigated TMS motor map measures during active muscle contraction. We hypothesized that map area and volume would show excellent short- and medium-term reliability. Twenty healthy adults were tested on 3 days. Active maps of the first dorsal interosseous muscle were created using a 12 × 12 grid (7 mm spacing). Short- (24 h) and medium-term (3-5 weeks) relative (intra-class correlation coefficient) and absolute (minimal detectable change (MDC); standard error of measure) reliabilities were evaluated for map area, volume, center of gravity (CoG), and hotspot magnitude (peak-to-peak MEP amplitude at the hotspot), along with active motor threshold (AMT) and maximum voluntary contraction (MVC). This study found that AMT and MVC had good-to-excellent short- and medium-term reliability. Map CoG (x and y) were the most reliable map measures across sessions with excellent short- and medium-term reliability (p < 0.001). Map area, hotspot magnitude, and map volume followed with better reliability medium-term than short-term, with a change of 28%, 62%, and 78% needed to detect a true medium-term change, respectively. Therefore, robot-guided neuro-navigated TMS active mapping is relatively reliable but varies across measures. This, and MDC, should be considered in interventional study designs.

摘要

经颅磁刺激(TMS)运动映射是一种安全、非侵入性的方法,用于研究皮质运动组织和干预诱导的可塑性。静息映射的可靠性已经得到很好的证实,但活跃映射的可靠性研究较少,使用机器人 TMS 技术获得的活跃映射的可靠性尚未确定。本研究的目的是确定在主动肌肉收缩期间使用机器人神经导航 TMS 运动映射测量的可靠性。我们假设地图区域和体积将显示出极好的短期和中期可靠性。20 名健康成年人在 3 天内接受了测试。使用 12×12 网格(7 毫米间距)创建了第一背侧骨间肌的主动映射。评估了地图区域、体积、重心(CoG)和热点幅度(热点处的峰到峰 MEP 幅度)的短期(24 小时)和中期(3-5 周)相对(组内相关系数)和绝对(最小可检测变化(MDC);测量的标准误差)可靠性,以及主动运动阈值(AMT)和最大自主收缩(MVC)。本研究发现 AMT 和 MVC 具有良好到极好的短期和中期可靠性。在各次会议中,地图 CoG(x 和 y)是最可靠的地图测量值,具有极好的短期和中期可靠性(p<0.001)。地图区域、热点幅度和地图体积的中期可靠性优于短期可靠性,分别需要改变 28%、62%和 78%才能检测到真正的中期变化。因此,机器人引导的神经导航 TMS 主动映射相对可靠,但因测量而异。这一点和 MDC 应在干预研究设计中加以考虑。

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