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

Electromyography Magnetoencephalography corticokinematic coupling corticomuscular coupling primary motor theta band

Journal

medRxiv : the preprint server for health sciences
Titre abrégé: medRxiv
Pays: United States
ID NLM: 101767986

Informations de publication

Date de publication:
29 Jun 2023
Historique:
pubmed: 10 7 2023
medline: 10 7 2023
entrez: 10 7 2023
Statut: epublish

Résumé

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.

Identifiants

pubmed: 37425691
doi: 10.1101/2023.06.23.23291825
pmc: PMC10327237
pii:
doi:

Types de publication

Preprint

Langues

eng

Subventions

Organisme : NIDA NIH HHS
ID : R01 DA047906
Pays : United States
Organisme : CSRD VA
ID : I01 CX000146
Pays : United States
Organisme : RRD VA
ID : I01 RX001988
Pays : United States
Organisme : NIDA NIH HHS
ID : R01 DA054106
Pays : United States
Organisme : CSRD VA
ID : I01 CX002035
Pays : United States
Organisme : CSRD VA
ID : I01 CX000499
Pays : United States

Auteurs

Ming-Xiong Huang (MX)

Radiology, Research, and Psychiatry Services, VA San Diego Healthcare System, San Diego, CA, USA.
Department of Radiology, University of California, San Diego, CA, USA.
Department of Electrical and Computer Engineering, University of California, San Diego, CA, USA.

Deborah L Harrington (DL)

Radiology, Research, and Psychiatry Services, VA San Diego Healthcare System, San Diego, CA, USA.
Department of Radiology, University of California, San Diego, CA, USA.

Annemarie Angeles-Quinto (A)

Department of Radiology, University of California, San Diego, CA, USA.

Zhengwei Ji (Z)

Department of Radiology, University of California, San Diego, CA, USA.

Ashley Robb-Swan (A)

Department of Radiology, University of California, San Diego, CA, USA.

Charles W Huang (CW)

Department of Bioengineering, Stanford University, Stanford, CA, USA.

Qian Shen (Q)

Department of Radiology, University of California, San Diego, CA, USA.

Hayden Hansen (H)

Department of Radiology, University of California, San Diego, CA, USA.

Jared Baumgartner (J)

Radiology, Research, and Psychiatry Services, VA San Diego Healthcare System, San Diego, CA, USA.

Jaqueline Hernandez-Lucas (J)

Radiology, Research, and Psychiatry Services, VA San Diego Healthcare System, San Diego, CA, USA.

Sharon Nichols (S)

Department of Neurosciences, University of California, San Diego, CA, USA.

Joanna Jacobus (J)

Department of Psychiatry, University of California, San Diego, CA, USA.

Tao Song (T)

Department of Radiology, University of California, San Diego, CA, USA.

Imanuel Lerman (I)

Radiology, Research, and Psychiatry Services, VA San Diego Healthcare System, San Diego, CA, USA.

Maksim Bazhenov (M)

Department of Medicine, University of California, San Diego, CA, USA.

Giri P Krishnan (GP)

Department of Medicine, University of California, San Diego, CA, USA.

Dewleen G Baker (DG)

Radiology, Research, and Psychiatry Services, VA San Diego Healthcare System, San Diego, CA, USA.
Department of Psychiatry, University of California, San Diego, CA, USA.
VA Center of Excellence for Stress and Mental Health, VA San Diego Healthcare System, San Diego, CA, USA.

Ramesh Rao (R)

Department of Electrical and Computer Engineering, University of California, San Diego, CA, USA.

Roland R Lee (RR)

Radiology, Research, and Psychiatry Services, VA San Diego Healthcare System, San Diego, CA, USA.
Department of Radiology, University of California, San Diego, CA, USA.

Classifications MeSH