AUTHOR=Ghahremani Arekhloo Negin , Parvizi Hossein , Zuo Siming , Wang Huxi , Nazarpour Kianoush , Marquetand Justus , Heidari Hadi 

TITLE=Alignment of magnetic sensing and clinical magnetomyography

JOURNAL=Frontiers in Neuroscience

VOLUME=Volume 17 - 2023

YEAR=2023

URL=https://www.frontiersin.org/journals/neuroscience/articles/10.3389/fnins.2023.1154572

DOI=10.3389/fnins.2023.1154572

ISSN=1662-453X

ABSTRACT=Neuromuscular diseases are a prevalent cause of prolonged and severe suffering for patients, and with the global population aging, it is increasingly becoming apressing concern. To assess muscle activity in NMDs, clinicians and researchers typically use electromyography (EMG), which can be either non-invasive using surface EMG, or invasive through needle EMG.  Surface EMG signals have a low spatial resolution, and while needle EMGprovides a higher resolution, itcan be painful for the patients, with an additional risk of infection. The pain associated with the needle EMG can pose a risk for certain patient groups, such as children. For example, children with spinal muscular atrophy (type of NMD) require regular monitoring of treatment efficacy through needle EMG; however,due to the pain caused by the procedure, clinicians often rely on a clinical assessment rather than needle EMG. Magnetomyography (MMG), the magnetic counterpart of the EMG, measures muscle activity non-invasively using magnetic signals. With super-resolution capabilities, MMGhas the potential to improve spatial resolution and in the meantime addressing the limitations of EMG.This article discusses the challenges in developing magnetic sensors for MMG, including sensor design and technology advancements that allow for more specific recordings, targeting of individual motor units, and reduction of magnetic noise. In addition, we cover the motor unit behaviour and activation pattern, an overview of magnetic sensing technologies, and evaluations of wearable, non-invasive magnetic sensors for MMG.