Towards non-invasive imaging through spinal-cord generated magnetic fields

Front Med Technol. 2024 Oct 9:6:1470970. doi: 10.3389/fmedt.2024.1470970. eCollection 2024.

Abstract

Non-invasive imaging of the human spinal cord is a vital tool for understanding the mechanisms underlying its functions in both healthy and pathological conditions. However, non-invasive imaging presents a significant methodological challenge because the spinal cord is difficult to access with conventional neurophysiological approaches, due to its proximity to other organs and muscles, as well as the physiological movements caused by respiration, heartbeats, and cerebrospinal fluid (CSF) flow. Here, we discuss the present state and future directions of spinal cord imaging, with a focus on the estimation of current flow through magnetic field measurements. We discuss existing cryogenic (superconducting) and non-cryogenic (optically-pumped magnetometer-based, OPM) systems, and highlight their strengths and limitations for studying human spinal cord function. While significant challenges remain, particularly in source imaging and interference rejection, magnetic field-based neuroimaging offers a novel avenue for advancing research in various areas. These include sensorimotor processing, cortico-spinal interplay, brain and spinal cord plasticity during learning and recovery from injury, and pain perception. Additionally, this technology holds promise for diagnosing and optimizing the treatment of spinal cord disorders.

Keywords: human spinal cord, sensorimotor control; neuroimaging (functional); optically pumped magnetometer (OPM); superconducting quantum interface devices (SQUIDs).

Grants and funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. MS, and this work, was supported by a Wellcome Technology development grant 223736/Z/21/Z. SM was funded by an Engineering and Physical Sciences Research Council (EPSRC) Healthcare Impact Partnership Grant (EP/V047264/1). GO’N is funded by a UKRI Frontier Research Grant (EP/X023060/1). TT is funded by an ERUK fellowship (FY2101) and the National Brain Appeal Innovation Fund (NBA-IF 4). The Wellcome Centre for Human Neuroimaging is supported by core funding from Wellcome (203147/Z/16/Z). This research was supported by the Discovery Research Platform for Naturalistic Neuroimaging funded by the Wellcome [226793/Z/22/Z]. MS is supported by the UZH Global Strategy and Partnerships Fund Scheme.