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首页> 外文期刊>Clinical neurophysiology >P 163 Combining TMS and EEG – a new tool to assess motor system integrity after stroke
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P 163 Combining TMS and EEG – a new tool to assess motor system integrity after stroke

机译:P 163结合TMS和EEG - 一种新工具,以评估冲程后的电机系统完整性

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摘要

Background Despite the wealth of neuroimaging studies regarding stroke pathophysiology and recovery after stroke, there is still a lack of clinically relevant biomarkers that allow to predict the potential of functional recovery and treatment response at individuals’ level. Anovel approach is to test motor system integrity by means of combining transcranial magnetic stimulation (TMS) and electroencephalography (EEG). By recording TMS-evoked potentials (TEP), the cortical response to TMS, both local and network responses can be recorded and analyzed in individual subjects (). Thus TMS-EEG could not only provide information about neuronal properties in lesioned regions but also yield to information about the integrity of the entire motor system. We therefore used TMS-EEG to investigate TEPs in the lesioned hemisphere and their spread to contralesional motor regions in early subacute stroke. Moreover these changes are linked to patients’ behaviour and clinical state in order to draw conclusions about the relationship of TEPs, current impairment and motor recovery. Methods Ten first-ever stroke patients (time since stroke: 10 days) with hand motor deficits and a group of aged-matched healthy controls participated in this study.Motor impairment and neurological status was determined by relative grip strength, standardized motor scores (Motricity Index (MI), Action Research Test (ARAT)) and the clinical National Institute Health Stroke Scale (NIHSS). TMS-EEG was recorded online using a TMS-compatible 64-channel EEG-System (BrainProducts). Neuronavigated TMS was applied as single pulses with 80% of resting motor threshold (RMT) over the ipsilesional primary motor cortex (M1). After preprocessing, TMS pulses were averaged and TEP components were analyzed under the coil over the electrode (C3/C4) representing ipsilesional M1. Results For the ipsilesional hemisphere we found a significant between-group difference with respect to the amplitude of the N45 TEP component. Stroke patients showed a less pronounced N45 than healthy controls ( p 0.005).The amplitude of N45 correlated negatively with the motor scores achieved at the MI ( r = ?0.7, p = 0.05), i.e., more impaired patients had a less pronounced ipsilesional N45 amplitude. In addition the amplitude of P30 correlated negatively with the NIHSS at admission to the hospital ( r = ?0.736, p = 0.015). Furthermore, we found a between-group difference regarding the N100 amplitude, which was significant smaller in stroke patients compared to controls ( p 0.05). Interestingly, changes in N100 were not correlated with motor impairment. Conclusion We here found evidence that especially early components of the TMS-evoked potential are strongly linked to the motor impairment of stroke patients, while later components like the N100seem to reflect a more general disturbance of neural processing after stroke. Hence, TMS-EEG has the potential to provide novel biomarkers to assess and monitor stroke recovery. ]]>
机译:背景技术尽管卒中后的中风病理生理学和恢复的丰富性研究,但仍然缺乏临床相关的生物标志物,允许预测个人水平的功能恢复和治疗响应的潜力。 Anovel方法是通过组合经颅磁刺激(TMS)和脑电图(EEG)来测试电动机系统完整性。通过记录TMS诱发的电位(TEP),可以在各个主题()中记录和分析对TMS的皮质响应,包括本地和网络响应。因此,TMS-EEG不仅可以提供有关损伤​​区域中神经元特性的信息,而且还屈服于关于整​​个电动机系统的完整性的信息。因此,我们使用TMS-EEG来调查损伤的半球和它们在早期亚急性中风中的对抗电机区域的蔓延。此外,这些变化与患者的行为和临床状态有关,以得出关于TEPS的关系,目前的损害和运动恢复的结论。方法有十种首次中风患者(自中风的时间:&lt 19天)用手逸出和一组老化匹配的健康对照参加了本研究。通过相对抓握强度,标准化的电动机分数确定了损伤和神经系统状态。 (验证指数(MI),动作研究试验(ARAT))和临床国家研究所健康冲程量表(NIHSS)。使用TMS兼容的64通道EEG系统(BrainProducts)在线在线记录TMS-EEG。在IPsilesion初级电动机皮质(M1)上,将神经和神经元化的TMS作为单脉冲施加80%,以80%的静止电动机阈值(RMT)。在预处理之后,平均TMS脉冲,并且在线圈上分析TEP组分在表示Ipsilesional M1的电极(C3 / C4)下方。 Ipsilesional Hemisphere的结果我们发现与N45 TEP组件的幅度相对于幅度的显着之间的差异。卒中患者的N45比健康对照表达不那么明显(P <0.005)。与在MI(R = 0.7,P = 0.05)的马达分数中,N45的幅度与MI(R = 0.7,P = 0.05)相关,即,更受损的患者较少发音的ipsiles n45幅度。此外,P30的P30幅度与入院的NIHSS负相关(r =Δ0.736,p = 0.015)。此外,我们发现关于N100振幅的组差异,与对照(P <0.05)相比,中风患者的卒中患者显着较小。有趣的是,N100的变化与电机损伤无关。结论我们在此发现证据表明,特别是TMS诱发潜力的早期组成部分与中风患者的电机损伤密切相关,而后期组成部分是N100SEEM,以反映中风后的神经加工的更一般障碍。因此,TMS-eeg有可能提供新的生物标志物来评估和监测中风恢复。 ]]>

著录项

  • 来源
    《Clinical neurophysiology》 |2017年第10期|共1页
  • 作者单位

    University Hospital Cologne Department of Neurology;

    University Hospital Cologne Department of Neurology;

    University Hospital Cologne Department of Child and Adolescent Psychiatry Psychosomatics and;

    Eberhard-Karls-University Tübingen Department of Neurology &

    Stroke;

    Eberhard-Karls-University Tübingen Department of Neurology &

    Stroke;

    University Hospital Cologne Department of Neurology;

    University Hospital Cologne Department of Neurology;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 人体生理学;
  • 关键词

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