Large-scale analysis of interindividual variability in theta-burst stimulation data: Results from the ‘Big TMS Data Collaboration’,Brain Stimulation

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Large-scale analysis of interindividual variability in theta-burst stimulation data: Results from the ‘Big TMS Data Collaboration’
Brain Stimulation ( IF 7.7 ) Pub Date : 2020-09-01 , DOI: 10.1016/j.brs.2020.07.018
Daniel T Corp ₁ , Hannah G K Bereznicki ₂ , Gillian M Clark ₂ , George J Youssef ₃ , Peter J Fried ₄ , Ali Jannati ₅ , Charlotte B Davies ₂ , Joyce Gomes-Osman ₆ , Julie Stamm ₇ , Sung Wook Chung ₈ , Steven J Bowe ₉ , Nigel C Rogasch ₁₀ , Paul B Fitzgerald ₁₁ , Giacomo Koch ₁₂ , Vincenzo Di Lazzaro ₁₃ , Alvaro Pascual-Leone ₁₄ , Peter G Enticott ₂ ,

Affiliation

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.
Cognitive Neuroscience Unit, School of Psychology, Deakin University, Geelong, Australia; Centre for Adolescent Health, Murdoch Children's Research Institute, Parkville, Australia.
Berenson-Allen Center for Non-Invasive Brain Stimulation, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
Berenson-Allen Center for Non-Invasive Brain Stimulation, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA; Neuromodulation Program and Division of Epilepsy and Clinical Neurophysiology, Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.
Berenson-Allen Center for Non-Invasive Brain Stimulation, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA; Department of Physical Therapy, University of Miami Miller School of Medicine, Miami, FL, USA.
Department of Kinesiology, University of Wisconsin-Madison, Madison, WI, USA.
Monash Alfred Psychiatry Research Centre, Central Clinical School, The Alfred and Monash University, Melbourne, Australia.
Deakin Biostatistics Unit Faculty of Health Deakin University, Geelong, Australia.
Discipline of Psychiatry, Adelaide Medical School, University of Adelaide, Adelaide, Australia; Hopwood Centre for Neurobiology, Lifelong Health Theme, South Australian Health and Medical Research Institute, Adelaide, Australia; The Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, Australia.
Monash Alfred Psychiatry Research Centre, Central Clinical School, The Alfred and Monash University, Melbourne, Australia; Epworth Centre for Innovation in Mental Health, Epworth HealthCare and Central Clinical School, Melbourne, Australia.
Non-invasive Brain Stimulation Unit, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy; Department of Biomedical and Specialty Surgical Sciences, Section of Human Physiology, University of Ferrara, Italy.
Unit of Neurology, Neurophysiology and Neurobiology, Università Campus Bio-Medico, Rome, Italy.
Hinda and Arthur Marcus Institute for Aging Research. Hebrew SeniorLife, Boston, MA, USA; Department of Neurology, Harvard Medical School, Boston, MA, USA; Guttmann Brain Health Institute, Institut Guttmann de Neurorehabilitació, Universitat Autonoma de Barcelona, Barcelona, Spain.

BACKGROUND 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. METHODS 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 variability in response to iTBS and cTBS. RESULTS 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, time of day, and TMS machine significantly predicted iTBS-induced plasticity. Baseline MEP amplitude, and timepoint after TBS significantly predicted cTBS-induced plasticity. CONCLUSIONS 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.

中文翻译：

大规模分析 theta-burst 刺激数据的个体差异：“大 TMS 数据协作”的结果

背景许多研究试图确定响应 theta-burst 刺激 (TBS) 的个体差异的来源。然而，这些研究受到小样本量的限制，导致结果相互矛盾。目标/假设：这项研究汇集了 60 多名 TMS 研究人员，形成了“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。目标是能够对驱动 TBS 反应变异性的因素进行更全面的评估。方法向 TMS 研究的 118 名通讯作者发送电子邮件，并要求他们提供未识别身份的个人 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 iTBS 和 cTBS 响应的变异性的贡献。结果 430 名健康参与者 TBS 数据汇集了 22 项研究（平均年龄 = 41.9；范围 = 17-82；女性 = 217）。基线 MEP 振幅、年龄、目标肌肉、一天中的时间和 TMS 机器显着预测了 iTBS 诱导的可塑性。基线 MEP 幅度和 TBS 后的时间点显着预测了 cTBS 诱导的可塑性。结论这是已知最大的 TBS 个体间变异性研究。我们的研究结果表明，可变性的很大一部分可归因于用于测量 TBS 调节作用的方法。我们提供具体的方法学建议，以控制和减轻这些可变性来源。基线 MEP 幅度和 TBS 后的时间点显着预测了 cTBS 诱导的可塑性。结论这是已知最大的 TBS 个体间变异性研究。我们的研究结果表明，可变性的很大一部分可归因于用于测量 TBS 调节作用的方法。我们提供具体的方法学建议，以控制和减轻这些可变性来源。基线 MEP 幅度和 TBS 后的时间点显着预测了 cTBS 诱导的可塑性。结论这是已知最大的 TBS 个体间变异性研究。我们的研究结果表明，可变性的很大一部分可归因于用于测量 TBS 调节作用的方法。我们提供具体的方法学建议，以控制和减轻这些可变性来源。

更新日期：2020-09-01

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