Biomagnetic signals recorded during transcranial magnetic stimulation (TMS)-evoked peripheral muscular activity

Objective: We present magnetomyograms (MMG) of TMS-evoked movement in a human hand, together with a simultaneous surface electromyograph (EMG) and electroencephalograph (EEG) data. Approach: We combined TMS with non-contact magnetic detection of TMS-evoked muscle activity in peripheral limbs to expl...

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Bibliographic Details
Published inarXiv.org
Main Authors Iwata, Geoffrey Z, Hu, Yinan, Sander, Tilmann, Muthuraman, Muthuraman, Venkata Chaitanya Chirumamilla, Groppa, Sergiu, Budker, Dmitry, Wickenbrock, Arne
Format Paper
LanguageEnglish
Published Ithaca Cornell University Library, arXiv.org 19.05.2020
Subjects
Diagnostic systems
Electric contacts
Electroencephalography
Electromyography
Forearm
Human motion
Magnetic measurement
Magnetic recording
Magnetometers
Muscles
Transcranial magnetic stimulation
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Summary:Objective: We present magnetomyograms (MMG) of TMS-evoked movement in a human hand, together with a simultaneous surface electromyograph (EMG) and electroencephalograph (EEG) data. Approach: We combined TMS with non-contact magnetic detection of TMS-evoked muscle activity in peripheral limbs to explore a new diagnostic modality that enhances the utility of TMS as a clinical tool by leveraging technological advances in magnetometry. We recorded measurements in a regular hospital room using an array of optically pumped magnetometers (OPM) inside a portable shield that encompasses only the forearm and hand of the subject. Main Results: The biomagnetic signals recorded in the MMG provide detailed spatial and temporal information that is complementary to that of the electric signal channels. Moreover, we identify features in the magnetic recording beyond those of the EMG. Significance: These results validate the viability of MMG recording with a compact OPM based setup in small-sized magnetic shielding, and provide proof-of-principle for a non-contact data channel for detection and analysis of TMS-evoked muscle activity from peripheral limbs.
ISSN:2331-8422