Suppr超能文献

在没有专用 EEG 系统的情况下,也可以观察到精神分裂症患者和健康对照组之间 TMS 诱发反应的差异。

Differences in TMS-evoked responses between schizophrenia patients and healthy controls can be observed without a dedicated EEG system.

机构信息

Department of Physics of Complex Systems, The Weizmann Institute of Science, Rehovot, Israel.

出版信息

Clin Neurophysiol. 2010 Mar;121(3):332-9. doi: 10.1016/j.clinph.2009.10.035. Epub 2009 Dec 16.

Abstract

OBJECTIVE

The combination of transcranial magnetic stimulation (TMS) and electroencephalography (EEG) has been hampered by the large artifact that the TMS generates in the EEG. Using TMS with EEG necessitates a sophisticated artifact-resistant EEG system that can acquire reliable signals in the crucial several tens of milliseconds immediately following the TMS pulse. Here, we demonstrate the use of a novel artifact removal algorithm together with a 24-bit EEG system to achieve similar recordings as those obtained with the dedicated TMS-compatible EEG system.

METHODS

This setup was used to compare TMS-evoked responses between a group of healthy controls and a group of patients with schizophrenia, a condition in which effective neural connectivity is thought to be compromised.

RESULTS

We observe differences in TMS-evoked responses between the two groups, similar to those recently reported in a study that used a dedicated TMS-compatible EEG system.

CONCLUSIONS

The standard 24-bit EEG system combined with an artifact removal algorithm produces results similar to the dedicated TMS-compatible system.

SIGNIFICANCE

This paves the way for more researchers and clinicians to use TMS-evoked responses for research and diagnosis of a wide spectrum of disorders.

摘要

目的

经颅磁刺激(TMS)与脑电图(EEG)相结合受到 TMS 在 EEG 中产生的大量伪影的阻碍。使用 TMS 进行 EEG 需要一种复杂的抗伪影 EEG 系统,该系统能够在 TMS 脉冲后至关重要的几十毫秒内获取可靠的信号。在这里,我们展示了一种新型的伪影去除算法与 24 位 EEG 系统的结合使用,以实现与专用 TMS 兼容 EEG 系统获得的类似记录。

方法

该设置用于比较一组健康对照组和一组精神分裂症患者的 TMS 诱发反应,精神分裂症被认为是有效神经连接受损的一种情况。

结果

我们观察到两组之间的 TMS 诱发反应存在差异,类似于最近使用专用 TMS 兼容 EEG 系统进行的一项研究中报道的差异。

结论

标准的 24 位 EEG 系统与伪影去除算法相结合,可产生与专用 TMS 兼容系统相似的结果。

意义

这为更多的研究人员和临床医生使用 TMS 诱发反应进行研究和诊断广泛的疾病铺平了道路。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验