Protocol to assess changes in brain network resistance to perturbation during offline processing using TMS-EEG.

IF 1.3 Q4 BIOCHEMICAL RESEARCH METHODS STAR Protocols Pub Date : 2025-03-21 Epub Date: 2025-02-06 DOI:10.1016/j.xpro.2025.103622
Martina Bracco, Tuomas P Mutanen, Domenica Veniero, Gregor Thut, Edwin M Robertson
{"title":"Protocol to assess changes in brain network resistance to perturbation during offline processing using TMS-EEG.","authors":"Martina Bracco, Tuomas P Mutanen, Domenica Veniero, Gregor Thut, Edwin M Robertson","doi":"10.1016/j.xpro.2025.103622","DOIUrl":null,"url":null,"abstract":"<p><p>Transcranial magnetic stimulation (TMS) perturbs specific brain regions and, combined with electroencephalography (EEG), enables the assessment of activity within their connected networks. We present a resting-state TMS-EEG protocol, combined with a controlled experimental design, to assess changes in brain network activity during offline processing, following a behavioral task. We describe steps for experimental design planning, setup preparation, data collection, and analysis. This approach minimizes biases inherent to TMS-EEG, ensuring an accurate assessment of changes within the network. For complete details of the use and execution of this protocol, please refer to Bracco et al.<sup>1</sup>.</p>","PeriodicalId":34214,"journal":{"name":"STAR Protocols","volume":"6 1","pages":"103622"},"PeriodicalIF":1.3000,"publicationDate":"2025-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11851284/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"STAR Protocols","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/j.xpro.2025.103622","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/2/6 0:00:00","PubModel":"Epub","JCR":"Q4","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 0

Abstract

Transcranial magnetic stimulation (TMS) perturbs specific brain regions and, combined with electroencephalography (EEG), enables the assessment of activity within their connected networks. We present a resting-state TMS-EEG protocol, combined with a controlled experimental design, to assess changes in brain network activity during offline processing, following a behavioral task. We describe steps for experimental design planning, setup preparation, data collection, and analysis. This approach minimizes biases inherent to TMS-EEG, ensuring an accurate assessment of changes within the network. For complete details of the use and execution of this protocol, please refer to Bracco et al.1.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
使用TMS-EEG评估离线处理过程中脑网络抗扰动变化的方案。
经颅磁刺激(TMS)扰乱特定的大脑区域,并结合脑电图(EEG),使其连接网络内的活动评估成为可能。我们提出了一种静息状态TMS-EEG协议,结合控制实验设计,以评估在行为任务后离线处理期间大脑网络活动的变化。我们描述了实验设计计划、设置准备、数据收集和分析的步骤。这种方法最大限度地减少了TMS-EEG固有的偏差,确保了对网络变化的准确评估。有关本协议使用和执行的完整细节,请参见Bracco等人。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
STAR Protocols
STAR Protocols Biochemistry, Genetics and Molecular Biology-General Biochemistry, Genetics and Molecular Biology
CiteScore
2.00
自引率
0.00%
发文量
789
审稿时长
10 weeks
期刊介绍:
期刊最新文献
Protocol to analyze steps of ribosome biogenesis in nuclear and cytosolic fractions of yeast cells. Protocol for immunofluorescence detection and quantitative analysis of pH-dependent transcriptional condensates. Protocol for stable cell line production to express muscle-type nicotinic receptor. Protocol to annotate dendritic cell maturation types in vivo making use of lipid nanoparticle-based approaches. Protocol to measure protein half-life in cell culture using heavy water.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1