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高密度脑电图在人类脑成像中的应用:技术与应用。

Human brain imaging with high-density electroencephalography: Techniques and applications.

作者信息

Marino Marco, Mantini Dante

机构信息

Movement Control and Neuroplasticity Research Group, KU Leuven, Belgium.

Department of General Psychology, University of Padua, Padua, Italy.

出版信息

J Physiol. 2024 Aug 22. doi: 10.1113/JP286639.

Abstract

Electroencephalography (EEG) is a technique for non-invasively measuring neuronal activity in the human brain using electrodes placed on the participant's scalp. With the advancement of digital technologies, EEG analysis has evolved over time from the qualitative analysis of amplitude and frequency modulations to a comprehensive analysis of the complex spatiotemporal characteristics of the recorded signals. EEG is now considered a powerful tool for measuring neural processes in the same time frame in which they happen (i.e. the subsecond range). However, it is commonly argued that EEG suffers from low spatial resolution, which makes it difficult to localize the generators of EEG activity accurately and reliably. Today, the availability of high-density EEG (hdEEG) systems, combined with methods for incorporating information on head anatomy and sophisticated source-localization algorithms, has transformed EEG into an important neuroimaging tool. hdEEG offers researchers and clinicians a rich and varied range of applications. It can be used not only for investigating neural correlates in motor and cognitive neuroscience experiments, but also for clinical diagnosis, particularly in the detection of epilepsy and the characterization of neural impairments in a wide range of neurological disorders. Notably, the integration of hdEEG systems with other physiological recordings, such as kinematic and/or electromyography data, might be especially beneficial to better understand the neuromuscular mechanisms associated with deconditioning in ageing and neuromotor disorders, by mapping the neurokinematic and neuromuscular connectivity patterns directly in the brain.

摘要

脑电图描记法(EEG)是一种通过将电极放置在参与者头皮上来非侵入性测量人类大脑神经元活动的技术。随着数字技术的进步,脑电图分析随着时间的推移已从对振幅和频率调制的定性分析发展为对记录信号复杂时空特征的全面分析。脑电图现在被认为是在神经过程发生的同一时间框架内(即亚秒级范围内)测量神经过程的强大工具。然而,人们普遍认为脑电图的空间分辨率较低,这使得准确可靠地定位脑电图活动的产生源变得困难。如今,高密度脑电图(hdEEG)系统的出现,结合纳入头部解剖信息的方法和复杂的源定位算法,已将脑电图转变为一种重要的神经成像工具。高密度脑电图为研究人员和临床医生提供了丰富多样的应用。它不仅可用于在运动和认知神经科学实验中研究神经相关性,还可用于临床诊断,特别是在癫痫检测和各种神经系统疾病中神经损伤的特征描述方面。值得注意的是,将高密度脑电图系统与其他生理记录(如运动学和/或肌电图数据)相结合,通过直接在大脑中绘制神经运动学和神经肌肉连接模式,可能对更好地理解与衰老和神经运动障碍中身体机能下降相关的神经肌肉机制特别有益。

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