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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.
Afiliación
  • Huang MX; Radiology, Research, and Psychiatry Services, VA San Diego Healthcare System, San Diego, CA, USA.
  • Harrington DL; Department of Radiology, University of California, San Diego, CA, USA.
  • Angeles-Quinto A; Department of Electrical and Computer Engineering, University of California, San Diego, CA, USA.
  • Ji Z; Radiology, Research, and Psychiatry Services, VA San Diego Healthcare System, San Diego, CA, USA.
  • Robb-Swan A; Department of Radiology, University of California, San Diego, CA, USA.
  • Huang CW; Department of Radiology, University of California, San Diego, CA, USA.
  • Shen Q; Department of Radiology, University of California, San Diego, CA, USA.
  • Hansen H; Department of Radiology, University of California, San Diego, CA, USA.
  • Baumgartner J; Department of Bioengineering, Stanford University, Stanford, CA, USA.
  • Hernandez-Lucas J; Department of Radiology, University of California, San Diego, CA, USA.
  • Nichols S; Department of Radiology, University of California, San Diego, CA, USA.
  • Jacobus J; Radiology, Research, and Psychiatry Services, VA San Diego Healthcare System, San Diego, CA, USA.
  • Song T; Radiology, Research, and Psychiatry Services, VA San Diego Healthcare System, San Diego, CA, USA.
  • Lerman I; Department of Neurosciences, University of California, San Diego, CA, USA.
  • Bazhenov M; Department of Psychiatry, University of California, San Diego, CA, USA.
  • Krishnan GP; Department of Radiology, University of California, San Diego, CA, USA.
  • Baker DG; Radiology, Research, and Psychiatry Services, VA San Diego Healthcare System, San Diego, CA, USA.
  • Rao R; Department of Medicine, University of California, San Diego, CA, USA.
  • Lee RR; Department of Medicine, University of California, San Diego, CA, USA.
medRxiv ; 2023 Jun 29.
Article en En | MEDLINE | ID: mdl-37425691
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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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: MedRxiv Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: MedRxiv Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos