Spedden Meaghan E, O'Neill George C, Tierney Tim M, West Timothy O, Schmidt Maike, Mellor Stephanie, Farmer Simon F, Bestmann Sven, Barnes Gareth R
Department of Imaging Neuroscience, Institute of Neurology, University College London, London, United Kingdom.
Department of Neuroscience, Physiology and Pharmacology, University College London, London, United Kingdom.
Front Med Technol. 2024 Oct 9;6:1470970. doi: 10.3389/fmedt.2024.1470970. eCollection 2024.
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.
对人类脊髓进行无创成像是了解其在健康和病理状态下功能机制的重要工具。然而,无创成像面临着重大的方法学挑战,因为脊髓靠近其他器官和肌肉,且存在呼吸、心跳和脑脊液(CSF)流动引起的生理运动,所以难以用传统神经生理学方法进行检测。在此,我们讨论脊髓成像的现状和未来方向,重点是通过磁场测量估计电流流动。我们讨论了现有的低温(超导)和非低温(基于光泵磁力仪,OPM)系统,并强调了它们在研究人类脊髓功能方面的优势和局限性。尽管仍存在重大挑战,特别是在源成像和干扰抑制方面,但基于磁场的神经成像为推进各个领域的研究提供了一条新途径。这些领域包括感觉运动处理、皮质脊髓相互作用、学习和损伤恢复过程中的脑和脊髓可塑性以及疼痛感知。此外,这项技术有望用于诊断和优化脊髓疾病的治疗。