High and low gamma EEG oscillations in central sensorimotor areas are conversely modulated during the human gait cycle
High and low gamma EEG oscillations in central sensorimotor areas are conversely modulated during the human gait cycle
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DOI：
10.1016/j.neuroimage.2015.03.045
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发表时间：
2015-05-15
期刊：
影响因子：
5.7
通讯作者：
Mueller-Putz, Gernot R.
中科院分区：
文献类型：
--
作者：
Seeber, Martin;Scherer, Reinhold;Mueller-Putz, Gernot R.
研究人类大脑功能对于开发行走过程中皮质参与的模型至关重要。这样的模型可以推进对脑损伤后运动障碍的分析（例如，中风），并可能导致新的康复方法。在这项工作中，我们应用基于个体解剖的高密度EEG源成像，使行走过程中的神经成像。为了最大限度地减少肌肉对EEG记录的影响，我们引入了一种新的基于频谱分解的伪影校正方法。在这里，我们调查高伽玛振幅，同时专注于两个不同方面的步行实验，即事实上，一个人走路和步行的节奏。我们发现，高伽玛振幅（60-80赫兹），位于中央感觉运动区的局灶性，在步行过程中显着增加相比，站立。此外，在相同区域中的高伽马（70-90 Hz）振幅相对于步态周期被调制。由于高伽马幅度增加和调制的谱峰不匹配，这两个高伽马元素代表不同的频率特定网络相互作用是合理的。有趣的是，我们发现高伽马（70-90 Hz）振幅与低伽马（24-40 Hz）振幅相耦合，两者都与步态周期有关，但彼此相反。总之，我们的工作是在人类直立行走过程中对皮质参与建模的又一步。(C)2015 Elsevier Inc. All rights reserved.
Investigating human brain function is essential to develop models of cortical involvement during walking. Such models could advance the analysis of motor impairments following brain injuries (e.g., stroke) and may lead to novel rehabilitation approaches. In this work, we applied high-density EEG source imaging based on individual anatomy to enable neuroimaging during walking. To minimize the impact of muscular influence on EEG recordings we introduce a novel artifact correction method based on spectral decomposition.High gamma oscillations (>60 Hz) were previously reported to play an important role in motor control. Here, we investigate high gamma amplitudes while focusing on two different aspects of a walking experiment, namely the fact that a person walks and the rhythmicity of walking. We found that high gamma amplitudes (60-80 Hz), located focally in central sensorimotor areas, were significantly increased during walking compared to standing. Moreover, high gamma (70-90 Hz) amplitudes in the same areas are modulated in relation to the gait cycle. Since the spectral peaks of high gamma amplitude increase and modulation do not match, it is plausible that these two high gamma elements represent different frequency-specific network interactions. Interestingly, we found high gamma (70-90 Hz) amplitudes to be coupled to low gamma (24-40 Hz) amplitudes, which both are modulated in relation to the gait cycle but conversely to each other. In summary, our work is a further step towards modeling cortical involvement during human upright walking. (C) 2015 Elsevier Inc. All rights reserved.