From bench to bedside: Overview of magnetoencephalography in basic principle, signal processing, source localization and clinical applications

IF 3.4 2区医学 Q2 NEUROIMAGING

Neuroimage-Clinical Pub Date : 2024-01-01 DOI:10.1016/j.nicl.2024.103608

Yanling Yang , Shichang Luo , Wenjie Wang , Xiumin Gao , Xufeng Yao , Tao Wu

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引用次数: 0

Abstract

Magnetoencephalography (MEG) is a non-invasive technique that can precisely capture the dynamic spatiotemporal patterns of the brain by measuring the magnetic fields arising from neuronal activity along the order of milliseconds. Observations of brain dynamics have been used in cognitive neuroscience, the diagnosis of neurological diseases, and the brain-computer interface (BCI). In this study, we outline the basic principle, signal processing, and source localization of MEG, and describe its clinical applications for cognitive assessment, the diagnoses of neurological diseases and mental disorders, preoperative evaluation, and the BCI. This review not only provides an overall perspective of MEG, ranging from practical techniques to clinical applications, but also enhances the prevalent understanding of neural mechanisms. The use of MEG is expected to lead to significant breakthroughs in neuroscience.

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从工作台到床边：脑磁图基本原理、信号处理、信号源定位和临床应用概述

脑磁图（MEG）是一种非侵入性技术，可通过测量神经元活动产生的毫秒级磁场，精确捕捉大脑的动态时空模式。大脑动态观测已被用于认知神经科学、神经疾病诊断和脑机接口（BCI）。在本研究中，我们概述了 MEG 的基本原理、信号处理和信号源定位，并介绍了其在认知评估、神经系统疾病和精神障碍诊断、术前评估和 BCI 方面的临床应用。这篇综述不仅提供了从实用技术到临床应用的 MEG 整体视角，而且加深了人们对神经机制的普遍理解。MEG 的使用有望在神经科学领域带来重大突破。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Neuroimage-Clinical NEUROIMAGING-

CiteScore

7.50

自引率

4.80%

发文量

368

审稿时长

52 days

期刊介绍： NeuroImage: Clinical, a journal of diseases, disorders and syndromes involving the Nervous System, provides a vehicle for communicating important advances in the study of abnormal structure-function relationships of the human nervous system based on imaging. The focus of NeuroImage: Clinical is on defining changes to the brain associated with primary neurologic and psychiatric diseases and disorders of the nervous system as well as behavioral syndromes and developmental conditions. The main criterion for judging papers is the extent of scientific advancement in the understanding of the pathophysiologic mechanisms of diseases and disorders, in identification of functional models that link clinical signs and symptoms with brain function and in the creation of image based tools applicable to a broad range of clinical needs including diagnosis, monitoring and tracking of illness, predicting therapeutic response and development of new treatments. Papers dealing with structure and function in animal models will also be considered if they reveal mechanisms that can be readily translated to human conditions.