利用高密度脑电图进行人脑成像:技术与应用。

IF 5.4 3区 材料科学 Q2 CHEMISTRY, PHYSICAL
Marco Marino, Dante Mantini
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引用次数: 0

摘要

脑电图(EEG)是一种利用放置在受试者头皮上的电极对人脑神经元活动进行无创测量的技术。随着数字技术的发展,脑电图分析已从对振幅和频率调制的定性分析发展到对记录信号的复杂时空特征的全面分析。现在,脑电图被认为是一种强大的工具,可在发生的同一时间范围内(即亚秒级范围内)测量神经过程。然而,一般认为脑电图的空间分辨率较低,因此难以准确可靠地定位脑电图活动的发生器。如今,高密度脑电图(hdEEG)系统的出现,加上纳入头部解剖信息的方法和复杂的信号源定位算法,已将脑电图转变为一种重要的神经成像工具。它不仅可用于研究运动和认知神经科学实验中的神经相关性,还可用于临床诊断,特别是癫痫的检测和各种神经系统疾病的神经损伤特征描述。值得注意的是,将 hdEEG 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图,可能对更好地理解与衰老和神经运动障碍中的失调相关的神经肌肉机制特别有益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Human brain imaging with high-density electroencephalography: Techniques and applications.

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.

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来源期刊
ACS Applied Energy Materials
ACS Applied Energy Materials Materials Science-Materials Chemistry
CiteScore
10.30
自引率
6.20%
发文量
1368
期刊介绍: ACS Applied Energy Materials is an interdisciplinary journal publishing original research covering all aspects of materials, engineering, chemistry, physics and biology relevant to energy conversion and storage. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrate knowledge in the areas of materials, engineering, physics, bioscience, and chemistry into important energy applications.
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