Miles Wischnewski , Zachary J. Haigh , Taylor A. Berger , Jonna Rotteveel , Tessa van Oijen , Nipun D. Perera , Sina Shirinpour , Ivan Alekseichuk , Rachel L. Hawe , Alexander Opitz
{"title":"慢性脑卒中中异常mu节律状态相关的皮层和皮质脊髓反应。","authors":"Miles Wischnewski , Zachary J. Haigh , Taylor A. Berger , Jonna Rotteveel , Tessa van Oijen , Nipun D. Perera , Sina Shirinpour , Ivan Alekseichuk , Rachel L. Hawe , Alexander Opitz","doi":"10.1016/j.clinph.2025.2111385","DOIUrl":null,"url":null,"abstract":"<div><h3>Objective</h3><div>The motor cortex’s activity is state-dependent. Specifically, the sensorimotor mu rhythm phase relates to the variability of primary motor cortex (M1) excitability, previously demonstrated in young and healthy volunteers. It is unknown whether this observation is generalizable to individuals with stroke-related brain lesions.</div></div><div><h3>Methods</h3><div>We investigated the phase relationship between mu oscillations and cortical excitability by combining real-time processing of electroencephalography (EEG) and transcranial magnetic stimulation (TMS) of M1. In N = 23 volunteers (chronic stroke survivors and healthy controls), we applied TMS to M1 at four phases of the mu oscillation. We investigated motor-evoked (MEP) and TMS-evoked potential (TEP) amplitudes.</div></div><div><h3>Results</h3><div>MEP amplitude in stroke survivors and older volunteers showed a phase-dependency with increased MEPs at the trough and decreased MEPs at the peak of the mu rhythm. However, individuals with stronger stroke-related motor symptoms showed a decreased phase preference. Phase-dependency of TEPs was reduced in the stroke-affected hemisphere, compared to the non-affected hemisphere. In healthy volunteers, no hemispheric difference was found.</div></div><div><h3>Conclusion</h3><div>Our preliminary results indicate that the strength of phase preference of TMS motor responses could indicate the severity of motor impairment.</div></div><div><h3>Significance</h3><div>These results could enable the development of improved TMS paradigms for recovery of motor impairment after stroke.</div></div>","PeriodicalId":10671,"journal":{"name":"Clinical Neurophysiology","volume":"180 ","pages":"Article 2111385"},"PeriodicalIF":3.6000,"publicationDate":"2025-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Abnormal mu rhythm state-related cortical and corticospinal responses in chronic stroke\",\"authors\":\"Miles Wischnewski , Zachary J. Haigh , Taylor A. Berger , Jonna Rotteveel , Tessa van Oijen , Nipun D. Perera , Sina Shirinpour , Ivan Alekseichuk , Rachel L. Hawe , Alexander Opitz\",\"doi\":\"10.1016/j.clinph.2025.2111385\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Objective</h3><div>The motor cortex’s activity is state-dependent. Specifically, the sensorimotor mu rhythm phase relates to the variability of primary motor cortex (M1) excitability, previously demonstrated in young and healthy volunteers. It is unknown whether this observation is generalizable to individuals with stroke-related brain lesions.</div></div><div><h3>Methods</h3><div>We investigated the phase relationship between mu oscillations and cortical excitability by combining real-time processing of electroencephalography (EEG) and transcranial magnetic stimulation (TMS) of M1. In N = 23 volunteers (chronic stroke survivors and healthy controls), we applied TMS to M1 at four phases of the mu oscillation. We investigated motor-evoked (MEP) and TMS-evoked potential (TEP) amplitudes.</div></div><div><h3>Results</h3><div>MEP amplitude in stroke survivors and older volunteers showed a phase-dependency with increased MEPs at the trough and decreased MEPs at the peak of the mu rhythm. However, individuals with stronger stroke-related motor symptoms showed a decreased phase preference. Phase-dependency of TEPs was reduced in the stroke-affected hemisphere, compared to the non-affected hemisphere. In healthy volunteers, no hemispheric difference was found.</div></div><div><h3>Conclusion</h3><div>Our preliminary results indicate that the strength of phase preference of TMS motor responses could indicate the severity of motor impairment.</div></div><div><h3>Significance</h3><div>These results could enable the development of improved TMS paradigms for recovery of motor impairment after stroke.</div></div>\",\"PeriodicalId\":10671,\"journal\":{\"name\":\"Clinical Neurophysiology\",\"volume\":\"180 \",\"pages\":\"Article 2111385\"},\"PeriodicalIF\":3.6000,\"publicationDate\":\"2025-10-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Clinical Neurophysiology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1388245725012374\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical Neurophysiology","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1388245725012374","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
Abnormal mu rhythm state-related cortical and corticospinal responses in chronic stroke
Objective
The motor cortex’s activity is state-dependent. Specifically, the sensorimotor mu rhythm phase relates to the variability of primary motor cortex (M1) excitability, previously demonstrated in young and healthy volunteers. It is unknown whether this observation is generalizable to individuals with stroke-related brain lesions.
Methods
We investigated the phase relationship between mu oscillations and cortical excitability by combining real-time processing of electroencephalography (EEG) and transcranial magnetic stimulation (TMS) of M1. In N = 23 volunteers (chronic stroke survivors and healthy controls), we applied TMS to M1 at four phases of the mu oscillation. We investigated motor-evoked (MEP) and TMS-evoked potential (TEP) amplitudes.
Results
MEP amplitude in stroke survivors and older volunteers showed a phase-dependency with increased MEPs at the trough and decreased MEPs at the peak of the mu rhythm. However, individuals with stronger stroke-related motor symptoms showed a decreased phase preference. Phase-dependency of TEPs was reduced in the stroke-affected hemisphere, compared to the non-affected hemisphere. In healthy volunteers, no hemispheric difference was found.
Conclusion
Our preliminary results indicate that the strength of phase preference of TMS motor responses could indicate the severity of motor impairment.
Significance
These results could enable the development of improved TMS paradigms for recovery of motor impairment after stroke.
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.