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
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