Methodological aspects of EEG and body dynamics measurements during motion.
Methodological aspects of EEG and body dynamics measurements during motion.
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运动过程中脑电图和身体动力学测量的方法论方面。
DOI：
10.3389/fnhum.2014.00156
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发表时间：
2014
影响因子：
2.9
通讯作者：
Lochmann M
中科院分区：
文献类型：
--
作者：
Reis PM;Hebenstreit F;Gabsteiger F;von Tscharner V;Lochmann M
EEG涉及记录、分析和解释在人头皮上记录的源自脑灰质的电压。脑电图是研究和理解行为背后的过程的最流行的方法之一。之所以如此，是因为EEG相对便宜、易于佩戴、重量轻并且具有高时间分辨率。就行为而言，这包括动作，例如响应环境而执行的运动。然而，在运动过程中记录EEG时可能会出现方法上的困难，例如运动伪影。因此，大多数关于人类大脑的研究都是在静态条件下检查激活。本文试图汇编和描述相关的方法解决方案，出现在运动过程中，以测量身体和大脑动力学。这些描述涵盖了如何避免和减少运动伪影的建议，硬件，软件和技术，用于同步记录EEG，EMG，运动学，动力学和运动过程中的眼球运动。此外，我们提出了各种记录系统、EEG电极、帽和用于确定真实的/定制电极位置的方法。最后，我们将得出结论，有可能记录和分析与运动或锻炼任务相关的同步大脑和身体动力学。
EEG involves the recording, analysis, and interpretation of voltages recorded on the human scalp which originate from brain gray matter. EEG is one of the most popular methods of studying and understanding the processes that underlie behavior. This is so, because EEG is relatively cheap, easy to wear, light weight and has high temporal resolution. In terms of behavior, this encompasses actions, such as movements that are performed in response to the environment. However, there are methodological difficulties which can occur when recording EEG during movement such as movement artifacts. Thus, most studies about the human brain have examined activations during static conditions. This article attempts to compile and describe relevant methodological solutions that emerged in order to measure body and brain dynamics during motion. These descriptions cover suggestions on how to avoid and reduce motion artifacts, hardware, software and techniques for synchronously recording EEG, EMG, kinematics, kinetics, and eye movements during motion. Additionally, we present various recording systems, EEG electrodes, caps and methods for determinating real/custom electrode positions. In the end we will conclude that it is possible to record and analyze synchronized brain and body dynamics related to movement or exercise tasks.
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影响因子：
1.2
作者：
Bulea, Thomas C.;Kilicarslan, Atilla;Contreras-Vidal, Jose L.
通讯作者：
Contreras-Vidal, Jose L.
影响因子：
2.4
作者：
Altman, Allison R.;Reisman, Darcy S.;Higginson, Jill S.;Davis, Irene S.
通讯作者：
Davis, Irene S.
细胞外田地和电流的起源-EEG，ECOG，LFP和尖峰。
DOI：
10.1038/nrn3241
发表时间：
2012-05-18
期刊：
Nature reviews. Neuroscience
影响因子：
--
作者：
Buzsáki G;Anastassiou CA;Koch C
通讯作者：
Koch C
影响因子：
4.6
作者：
De Clercq, Wim;Vergult, Anneleen;Van Huffel, Sabine
通讯作者：
Van Huffel, Sabine
影响因子：
2.9
作者：
Causer J;McCormick SA;Holmes PS
通讯作者：
Holmes PS