Cognitive Neuroscience Unit, School of Psychology, Deakin University, Geelong, Australia; Berenson-Allen Center for Non-Invasive Brain Stimulation, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
Cognitive Neuroscience Unit, School of Psychology, Deakin University, Geelong, Australia.
Brain Stimul. 2020 Sep-Oct;13(5):1476-1488. doi: 10.1016/j.brs.2020.07.018. Epub 2020 Aug 3.
Many studies have attempted to identify the sources of interindividual variability in response to theta-burst stimulation (TBS). However, these studies have been limited by small sample sizes, leading to conflicting results.
OBJECTIVE/HYPOTHESIS: This study brought together over 60 TMS researchers to form the 'Big TMS Data Collaboration', and create the largest known sample of individual participant TBS data to date. The goal was to enable a more comprehensive evaluation of factors driving TBS response variability.
118 corresponding authors of TMS studies were emailed and asked to provide deidentified individual TMS data. Mixed-effects regression investigated a range of individual and study level variables for their contribution to iTBS and cTBS response variability.
430 healthy participants' TBS data was pooled across 22 studies (mean age = 41.9; range = 17-82; females = 217). Baseline MEP amplitude, age, target muscle, and time of day significantly predicted iTBS-induced plasticity. Baseline MEP amplitude and timepoint after TBS significantly predicted cTBS-induced plasticity.
This is the largest known study of interindividual variability in TBS. Our findings indicate that a significant portion of variability can be attributed to the methods used to measure the modulatory effects of TBS. We provide specific methodological recommendations in order to control and mitigate these sources of variability.
许多研究试图确定个体对经颅磁刺激（TBS）反应的个体间变异性的来源。然而，这些研究受到样本量小的限制，导致结果相互矛盾。
目的/假设：本研究汇集了 60 多名 TMS 研究人员，组成了“大 TMS 数据协作”，并创建了迄今为止最大的已知个体参与者 TBS 数据样本。目的是能够更全面地评估驱动 TBS 反应变异性的因素。
向 118 位 TMS 研究的相应作者发送电子邮件，并要求他们提供匿名的个体 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 iTBS 和 cTBS 反应变异性的贡献。
来自 22 项研究的 430 名健康参与者的 TBS 数据被汇总（平均年龄为 41.9 岁；范围为 17-82 岁；女性为 217 名）。基线 MEP 幅度、年龄、目标肌肉和一天中的时间显著预测了 iTBS 诱导的可塑性。基线 MEP 幅度和 TBS 后时间点显著预测了 cTBS 诱导的可塑性。
这是 TBS 个体间变异性的最大已知研究。我们的发现表明，相当一部分变异性可以归因于用于测量 TBS 调节效应的方法。我们提供了具体的方法学建议，以控制和减轻这些变异性来源。
