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EMG-projected MEG High-Resolution Source Imaging of Human Motor Execution: Brain-Muscle Coupling above Movement Frequencies

Magnetoencephalography (MEG) is a non-invasive functional imaging technique for pre-surgical mapping. However, movement-related MEG functional mapping of primary motor cortex (M1) has been challenging in presurgical patients with brain lesions and sensorimotor dysfunction due to the large numbers of...

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Autores principales: Huang, Ming-Xiong, Harrington, Deborah L., Angeles-Quinto, Annemarie, Ji, Zhengwei, Robb-Swan, Ashley, Huang, Charles W., Shen, Qian, Hansen, Hayden, Baumgartner, Jared, Hernandez-Lucas, Jaqueline, Nichols, Sharon, Jacobus, Joanna, Song, Tao, Lerman, Imanuel, Bazhenov, Maksim, Krishnan, Giri P, Baker, Dewleen G., Rao, Ramesh, Lee, Roland R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10327237/
https://www.ncbi.nlm.nih.gov/pubmed/37425691
http://dx.doi.org/10.1101/2023.06.23.23291825
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author Huang, Ming-Xiong
Harrington, Deborah L.
Angeles-Quinto, Annemarie
Ji, Zhengwei
Robb-Swan, Ashley
Huang, Charles W.
Shen, Qian
Hansen, Hayden
Baumgartner, Jared
Hernandez-Lucas, Jaqueline
Nichols, Sharon
Jacobus, Joanna
Song, Tao
Lerman, Imanuel
Bazhenov, Maksim
Krishnan, Giri P
Baker, Dewleen G.
Rao, Ramesh
Lee, Roland R.
author_facet Huang, Ming-Xiong
Harrington, Deborah L.
Angeles-Quinto, Annemarie
Ji, Zhengwei
Robb-Swan, Ashley
Huang, Charles W.
Shen, Qian
Hansen, Hayden
Baumgartner, Jared
Hernandez-Lucas, Jaqueline
Nichols, Sharon
Jacobus, Joanna
Song, Tao
Lerman, Imanuel
Bazhenov, Maksim
Krishnan, Giri P
Baker, Dewleen G.
Rao, Ramesh
Lee, Roland R.
author_sort Huang, Ming-Xiong
collection PubMed
description Magnetoencephalography (MEG) is a non-invasive functional imaging technique for pre-surgical mapping. However, movement-related MEG functional mapping of primary motor cortex (M1) has been challenging in presurgical patients with brain lesions and sensorimotor dysfunction due to the large numbers of trails needed to obtain adequate signal to noise. Moreover, it is not fully understood how effective the brain communication is with the muscles at frequencies above the movement frequency and its harmonics. We developed a novel Electromyography (EMG)-projected MEG source imaging technique for localizing M1 during ~1 minute recordings of left and right self-paced finger movements (~1 Hz). High-resolution MEG source images were obtained by projecting M1 activity towards the skin EMG signal without trial averaging. We studied delta (1–4 Hz), theta (4–7 Hz), alpha (8–12 Hz), beta (15–30 Hz), and gamma (30–90 Hz) bands in 13 healthy participants (26 datasets) and two presurgical patients with sensorimotor dysfunction. In healthy participants, EMG-projected MEG accurately localized M1 with high accuracy in delta (100.0%), theta (100.0%), and beta (76.9%) bands, but not alpha (34.6%) and gamma (0.0%) bands. Except for delta, all other frequency bands were above the movement frequency and its harmonics. In both presurgical patients, M1 activity in the affected hemisphere was also accurately localized, despite highly irregular EMG movement patterns in one patient. Altogether, our EMG-projected MEG imaging approach is highly accurate and feasible for M1 mapping in presurgical patients. The results also provide insight into movement related brain-muscle coupling above the movement frequency and its harmonics.
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spelling pubmed-103272372023-07-08 EMG-projected MEG High-Resolution Source Imaging of Human Motor Execution: Brain-Muscle Coupling above Movement Frequencies Huang, Ming-Xiong Harrington, Deborah L. Angeles-Quinto, Annemarie Ji, Zhengwei Robb-Swan, Ashley Huang, Charles W. Shen, Qian Hansen, Hayden Baumgartner, Jared Hernandez-Lucas, Jaqueline Nichols, Sharon Jacobus, Joanna Song, Tao Lerman, Imanuel Bazhenov, Maksim Krishnan, Giri P Baker, Dewleen G. Rao, Ramesh Lee, Roland R. medRxiv Article Magnetoencephalography (MEG) is a non-invasive functional imaging technique for pre-surgical mapping. However, movement-related MEG functional mapping of primary motor cortex (M1) has been challenging in presurgical patients with brain lesions and sensorimotor dysfunction due to the large numbers of trails needed to obtain adequate signal to noise. Moreover, it is not fully understood how effective the brain communication is with the muscles at frequencies above the movement frequency and its harmonics. We developed a novel Electromyography (EMG)-projected MEG source imaging technique for localizing M1 during ~1 minute recordings of left and right self-paced finger movements (~1 Hz). High-resolution MEG source images were obtained by projecting M1 activity towards the skin EMG signal without trial averaging. We studied delta (1–4 Hz), theta (4–7 Hz), alpha (8–12 Hz), beta (15–30 Hz), and gamma (30–90 Hz) bands in 13 healthy participants (26 datasets) and two presurgical patients with sensorimotor dysfunction. In healthy participants, EMG-projected MEG accurately localized M1 with high accuracy in delta (100.0%), theta (100.0%), and beta (76.9%) bands, but not alpha (34.6%) and gamma (0.0%) bands. Except for delta, all other frequency bands were above the movement frequency and its harmonics. In both presurgical patients, M1 activity in the affected hemisphere was also accurately localized, despite highly irregular EMG movement patterns in one patient. Altogether, our EMG-projected MEG imaging approach is highly accurate and feasible for M1 mapping in presurgical patients. The results also provide insight into movement related brain-muscle coupling above the movement frequency and its harmonics. Cold Spring Harbor Laboratory 2023-06-29 /pmc/articles/PMC10327237/ /pubmed/37425691 http://dx.doi.org/10.1101/2023.06.23.23291825 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use.
spellingShingle Article
Huang, Ming-Xiong
Harrington, Deborah L.
Angeles-Quinto, Annemarie
Ji, Zhengwei
Robb-Swan, Ashley
Huang, Charles W.
Shen, Qian
Hansen, Hayden
Baumgartner, Jared
Hernandez-Lucas, Jaqueline
Nichols, Sharon
Jacobus, Joanna
Song, Tao
Lerman, Imanuel
Bazhenov, Maksim
Krishnan, Giri P
Baker, Dewleen G.
Rao, Ramesh
Lee, Roland R.
EMG-projected MEG High-Resolution Source Imaging of Human Motor Execution: Brain-Muscle Coupling above Movement Frequencies
title EMG-projected MEG High-Resolution Source Imaging of Human Motor Execution: Brain-Muscle Coupling above Movement Frequencies
title_full EMG-projected MEG High-Resolution Source Imaging of Human Motor Execution: Brain-Muscle Coupling above Movement Frequencies
title_fullStr EMG-projected MEG High-Resolution Source Imaging of Human Motor Execution: Brain-Muscle Coupling above Movement Frequencies
title_full_unstemmed EMG-projected MEG High-Resolution Source Imaging of Human Motor Execution: Brain-Muscle Coupling above Movement Frequencies
title_short EMG-projected MEG High-Resolution Source Imaging of Human Motor Execution: Brain-Muscle Coupling above Movement Frequencies
title_sort emg-projected meg high-resolution source imaging of human motor execution: brain-muscle coupling above movement frequencies
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10327237/
https://www.ncbi.nlm.nih.gov/pubmed/37425691
http://dx.doi.org/10.1101/2023.06.23.23291825
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