Shared electrophysiology mechanisms of body ownership and motor imagery

Shared electrophysiology mechanisms of body ownership and motor imagery
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DOI:
10.1016/j.neuroimage.2012.09.027
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发表时间:
2013-01-01
期刊:
影响因子:
5.7
通讯作者:
Blanke, Olaf
Blanke, Olaf
中科院分区:
医学1区
文献类型:
--
作者:
Evans, Nathan;Blanke, Olaf

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虽然我们感觉、看到和体验到我们的手是我们自己的(身体或手的所有权),但最近的研究表明,假手或虚拟手可以诱导虚幻的手所有权,这可能对神经假肢和脑机接口有用。尽管有大量关于虚幻手所有权的行为数据,但神经影像学研究很少,特别是电生理研究。因此,虽然手部所有权背后的神经系统被描述得相对较好,但通过脑电图(EEG)测量的身体所有权的频谱特征仍然难以捉摸。我们在记录64通道脑电图的同时,利用虚拟现实技术以一种自动的、计算机控制的方式诱导了虚幻的手所有权,并发现虚幻的手所有权是由额顶叶皮层上的mu波段的身体特异性调制反映的。在对同一受试者进行的第二个实验中,我们发现,在采用非侵入性脑机接口技术的范式中,运动想象任务中,在高度相似的额顶叶区域,mu和β带活动也被调节。这些数据揭示了虚幻手所有权的脑电生理机制及其与额顶叶皮层运动意象的强烈重叠机制。他们还强调了将高分辨率脑电图与虚拟现实装置和自动化刺激方案相结合的潜力,以实现认知神经科学中系统可重复的刺激呈现,并可能为非侵入性脑机接口的设计提供信息。(C) 2012爱思唯尔公司版权所有。
Although we feel, see, and experience our hands as our own (body or hand ownership), recent research has shown that illusory hand ownership can be induced for fake or virtual hands and may be useful for neuroprosthetics and brain-computer interfaces. Despite the vast amount of behavioral data on illusory hand ownership, neuroimaging studies are rare, in particular electrophysiological studies. Thus, while the neural systems underlying hand ownership are relatively well described, the spectral signatures of body ownership as measured by electroencephalography (EEG) remain elusive. Here we induced illusory hand ownership in an automated, computer-controlled manner using virtual reality while recording 64-channel EEG and found that illusory hand ownership is reflected by a body-specific modulation in the mu-band over fronto-parietal cortex. In a second experiment in the same subjects, we then show that mu as well as beta-band activity in highly similar fronto-parietal regions was also modulated during a motor imagery task often used in paradigms employing non-invasive brain-computer interface technology. These data provide insights into the electrophysiological brain mechanisms of illusory hand ownership and their strongly overlapping mechanisms with motor imagery in fronto-parietal cortex. They also highlight the potential of combining high-resolution EEG with virtual reality setups and automatized stimulation protocols for systematic reproducible stimulus presentation in cognitive neuroscience, and may inform the design of non-invasive brain-computer interfaces. (C) 2012 Elsevier Inc. All rights reserved.