Large-scale analysis of interindividual variability in single and paired-pulse TMS data
Large-scale analysis of interindividual variability in single and paired-pulse TMS data
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DOI：
10.1016/j.clinph.2021.06.014
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发表时间：
2021-09-22
影响因子：
4.7
通讯作者：
Enticott, Peter G.
中科院分区：
文献类型：
--
作者：
Corp, Daniel T.;Bereznicki, Hannah G. K.;Enticott, Peter G.
目的：这项研究汇集了60多名经颅磁刺激（TMS）研究人员，以创建迄今为止最大的已知个体参与者单脉冲和双脉冲TMS数据样本，从而能够更全面地评估驱动反应变异性的因素。方法：联系之前发表的研究的作者并要求分享去识别的个人TMS数据。混合效应回归研究了一系列个体和研究水平变量对单脉冲和双脉冲TMS数据响应变异性的贡献。结果：汇总了35项研究中687名健康参与者的数据。目标肌肉，脉冲波形，神经导航的使用，和TMS机显着预测一个人的单脉冲TMS幅度。基线运动诱发电位振幅、运动皮质半球和运动阈值（MT）显著预测短间隔皮质内抑制反应。基线运动诱发电位振幅、测试刺激强度、刺激间隔和MT显著预测皮质内易化反应。年龄、半球和TMS机器显着预测MT。结论：这项大规模分析确定了一些影响参与者对单脉冲和双脉冲TMS反应的因素。我们提供了具体的建议，以尽量减少单脉冲和双脉冲TMS数据的个体间变异性。意义：本研究使用了大规模分析，以澄清TMS数据中驱动方差的因素。我们希望这种持续的合作方法将提高方法的标准化，从而提高单脉冲和双脉冲TMS的实用性。(c)2021国际临床神经生理学联合会。Elsevier B.V.出版，保留所有权利。
Objective: This study brought together over 60 transcranial magnetic stimulation (TMS) researchers to create the largest known sample of individual participant single and paired-pulse TMS data to date, enabling a more comprehensive evaluation of factors driving response variability. Methods: Authors of previously published studies were contacted and asked to share deidentified individual TMS data. Mixed-effects regression investigated a range of individual and study level variables for their contribution to variability in response to single and paired-pulse TMS data. Results: 687 healthy participant's data were pooled across 35 studies. Target muscle, pulse waveform, neuronavigation use, and TMS machine significantly predicted an individual's single-pulse TMS amplitude. Baseline motor evoked potential amplitude, motor cortex hemisphere, and motor threshold (MT) significantly predicted short-interval intracortical inhibition response. Baseline motor evoked potential amplitude, test stimulus intensity, interstimulus interval, and MT significantly predicted intracortical facilitation response. Age, hemisphere, and TMS machine significantly predicted MT. Conclusions: This large-scale analysis has identified a number of factors influencing participants' responses to single and paired-pulse TMS. We provide specific recommendations to minimise interindividual variability in single and paired-pulse TMS data. Significance: This study has used large-scale analyses to give clarity to factors driving variance in TMS data. We hope that this ongoing collaborative approach will increase standardisation of methods and thus the utility of single and paired-pulse TMS. (c) 2021 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. All rights reserved.