Local brain-state dependency of effective connectivity: evidence from TMS–EEG
Local brain-state dependency of effective connectivity: evidence from TMS–EEG
Abstract BackgroundSpontaneous cortical oscillations have been shown to modulate cortical responses to transcranial magnetic stimulation (TMS). If not controlled for, they might increase variability in responses and mask meaningful changes in the signals of interest when studying the brain with TMS combined with electroencephalography (TMS–EEG). To address this challenge in future closed-loop stimulation paradigms, we need to understand how spontaneous oscillations affect TMS-evoked responses. ObjectiveTo describe the effect of the pre-stimulus phase of cortical mu (8–13 Hz) and beta (13–30 Hz) oscillations on TMS-induced effective connectivity patterns. MethodsWe applied TMS to the left primary motor cortex and right pre-supplementary motor area of three subjects while recording EEG. We classified trials off-line into positive- and negative-phase classes according to the mu and beta rhythms. We calculated differences in the global mean-field amplitude (GMFA) and compared the cortical spreading of the TMS-evoked activity between the two classes. ResultsPhase had significant effects on the GMFA in 11 out of 12 datasets (3 subjects × 2 stimulation sites × 2 frequency bands). Seven of the datasets showed significant differences in the time range 15–50 ms, nine in 50–150 ms, and eight after 150 ms post-stimulus. Source estimates showed complex spatial differences between the classes in the cortical spreading of the TMS-evoked activity. ConclusionsTMS-evoked effective connectivity appears to depend on the phase of local cortical oscillations at the stimulated site. This may be crucial for efficient design of future brain-state-dependent and closed-loop stimulation paradigms.
Fecchio Matteo、Gran? Ida、Tervo Aino E.、Nieminen Jaakko O.、Souza Victor H.、Mutanen Tuomas P.、Rosanova Mario、Lioumis Pantelis、Ilmoniemi Risto J.
Department of Biomedical and Clinical Sciences ?°L. Sacco?±, University of Milan||Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General HospitalDepartment of Neuroscience and Biomedical Engineering, Aalto University||BioMag Laboratory, HUS Medical Imaging Center, University of Helsinki and Helsinki University HospitalDepartment of Neuroscience and Biomedical Engineering, Aalto University||BioMag Laboratory, HUS Medical Imaging Center, University of Helsinki and Helsinki University HospitalDepartment of Neuroscience and Biomedical Engineering, Aalto University||BioMag Laboratory, HUS Medical Imaging Center, University of Helsinki and Helsinki University HospitalDepartment of Neuroscience and Biomedical Engineering, Aalto University||BioMag Laboratory, HUS Medical Imaging Center, University of Helsinki and Helsinki University Hospital||School of Physiotherapy, Federal University of Juiz de ForaDepartment of Neuroscience and Biomedical Engineering, Aalto University||BioMag Laboratory, HUS Medical Imaging Center, University of Helsinki and Helsinki University HospitalDepartment of Biomedical and Clinical Sciences ?°L. Sacco?±, University of MilanDepartment of Neuroscience and Biomedical Engineering, Aalto University||BioMag Laboratory, HUS Medical Imaging Center, University of Helsinki and Helsinki University HospitalDepartment of Neuroscience and Biomedical Engineering, Aalto University||BioMag Laboratory, HUS Medical Imaging Center, University of Helsinki and Helsinki University Hospital
神经病学、精神病学基础医学生物科学研究方法、生物科学研究技术
Transcranial magnetic stimulationelectroencephalographybrain stateeffective connectivity
Fecchio Matteo,Gran? Ida,Tervo Aino E.,Nieminen Jaakko O.,Souza Victor H.,Mutanen Tuomas P.,Rosanova Mario,Lioumis Pantelis,Ilmoniemi Risto J..Local brain-state dependency of effective connectivity: evidence from TMS–EEG[EB/OL].(2025-03-28)[2025-05-02].https://www.biorxiv.org/content/10.1101/2021.10.01.462795.点此复制
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