Pretreatment TMS-EEG connectivity assessment as a potential predictor of rTMS effectiveness in chronic pain: A feasibility pilot study.

IF 3.7 3区 医学 Q1 CLINICAL NEUROLOGY
Enrico De Martino, Bruno Andry Nascimento Couto, Anne Jakobsen, Adenauer Girardi Casali, Poul Dane Bonde-Heriksen, Thomas Graven-Nielsen, Daniel Ciampi de Andrade
{"title":"Pretreatment TMS-EEG connectivity assessment as a potential predictor of rTMS effectiveness in chronic pain: A feasibility pilot study.","authors":"Enrico De Martino, Bruno Andry Nascimento Couto, Anne Jakobsen, Adenauer Girardi Casali, Poul Dane Bonde-Heriksen, Thomas Graven-Nielsen, Daniel Ciampi de Andrade","doi":"10.1016/j.clinph.2025.02.268","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>Around half of chronic pain patients report pain intensity reduction to high-frequency (10 Hz) repetitive transcranial magnetic stimulation (rTMS) delivered to the primary motor cortex (M1). However, the other half do not respond, making it essential to identify which patients are likely to benefit before starting treatment. Combining TMS with electroencephalogram (TMS-EEG) allows for exploring cortical connectivity, and evaluating this connectivity before administering rTMS may provide insights into which patients are likely to respond favorably to the treatment.</p><p><strong>Methods: </strong>Seven chronic pain patients underwent TMS-EEG assessment of M1 before ten daily sessions of 10 Hz rTMS. Pain intensity was measured at baseline and post-treatment, with responders defined as those showing a 30 % reduction on an 11-point numerical rating scale. TMS-evoked potentials were analyzed using the debiased weighted phase lag index to assess connectivity, quantified by phase (connections exceeding the 95 % confidence interval) and space (Euclidean distance between significantly connected EEG channels). Normative connectivity values were also collected from 82 healthy volunteers.</p><p><strong>Results: </strong>Four patients responded to M1 rTMS, while three did not, with an average pain intensity reduction of 1.4±1.5. TMS-EEG showed low connectivity indices in all responders to rTMS, whereas two non-responders had higher indices, above the 75th percentile of healthy volunteers.</p><p><strong>Conclusions: </strong>This pilot feasibility study showed that the use of TMS-EEG informed rTMS is feasible, and proceeding to larger randomized clinical trials will allow to test this approach.</p><p><strong>Significance: </strong>Pre-treatment TMS-EEG connectivity measures may identify rTMS responders, optimizing chronic pain management.</p>","PeriodicalId":10671,"journal":{"name":"Clinical Neurophysiology","volume":" ","pages":""},"PeriodicalIF":3.7000,"publicationDate":"2025-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical Neurophysiology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.clinph.2025.02.268","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Objective: Around half of chronic pain patients report pain intensity reduction to high-frequency (10 Hz) repetitive transcranial magnetic stimulation (rTMS) delivered to the primary motor cortex (M1). However, the other half do not respond, making it essential to identify which patients are likely to benefit before starting treatment. Combining TMS with electroencephalogram (TMS-EEG) allows for exploring cortical connectivity, and evaluating this connectivity before administering rTMS may provide insights into which patients are likely to respond favorably to the treatment.

Methods: Seven chronic pain patients underwent TMS-EEG assessment of M1 before ten daily sessions of 10 Hz rTMS. Pain intensity was measured at baseline and post-treatment, with responders defined as those showing a 30 % reduction on an 11-point numerical rating scale. TMS-evoked potentials were analyzed using the debiased weighted phase lag index to assess connectivity, quantified by phase (connections exceeding the 95 % confidence interval) and space (Euclidean distance between significantly connected EEG channels). Normative connectivity values were also collected from 82 healthy volunteers.

Results: Four patients responded to M1 rTMS, while three did not, with an average pain intensity reduction of 1.4±1.5. TMS-EEG showed low connectivity indices in all responders to rTMS, whereas two non-responders had higher indices, above the 75th percentile of healthy volunteers.

Conclusions: This pilot feasibility study showed that the use of TMS-EEG informed rTMS is feasible, and proceeding to larger randomized clinical trials will allow to test this approach.

Significance: Pre-treatment TMS-EEG connectivity measures may identify rTMS responders, optimizing chronic pain management.

求助全文
约1分钟内获得全文 求助全文
来源期刊
Clinical Neurophysiology
Clinical Neurophysiology 医学-临床神经学
CiteScore
8.70
自引率
6.40%
发文量
932
审稿时长
59 days
期刊介绍: As of January 1999, The journal Electroencephalography and Clinical Neurophysiology, and its two sections Electromyography and Motor Control and Evoked Potentials have amalgamated to become this journal - Clinical Neurophysiology. Clinical Neurophysiology is the official journal of the International Federation of Clinical Neurophysiology, the Brazilian Society of Clinical Neurophysiology, the Czech Society of Clinical Neurophysiology, the Italian Clinical Neurophysiology Society and the International Society of Intraoperative Neurophysiology.The journal is dedicated to fostering research and disseminating information on all aspects of both normal and abnormal functioning of the nervous system. The key aim of the publication is to disseminate scholarly reports on the pathophysiology underlying diseases of the central and peripheral nervous system of human patients. Clinical trials that use neurophysiological measures to document change are encouraged, as are manuscripts reporting data on integrated neuroimaging of central nervous function including, but not limited to, functional MRI, MEG, EEG, PET and other neuroimaging modalities.
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信