Ora Hiroki, Takano Kouji, Kawase Toshihiro, Iwaki Sunao, Parkkonen Lauri, Kansaku Kenji
Systems Neuroscience Section, Department of Rehabilitation for Brain Functions, Research Institute of National Rehabilitation Center for Persons with Disabilities, Tokorozawa 359-8555, Japan , Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology, Yokohama 226-8503, Japan.
J Integr Neurosci. 2013 Sep;12(3):331-41. doi: 10.1142/S0219635213500192. Epub 2013 Jul 10.
Real-time magnetoencephalography (rtMEG) is an emerging neurofeedback technology that could potentially benefit multiple areas of basic and clinical neuroscience. In the present study, we implemented voxel-based real-time coherence measurements in a rtMEG system in which we employed a beamformer to localize signal sources in the anatomical space prior to computing imaginary coherence. Our rtMEG experiment showed that a healthy subject could increase coherence between the parietal cortex and visual cortex when attending to a flickering visual stimulus. This finding suggests that our system is suitable for neurofeedback training and can be useful for practical brain-machine interface applications or neurofeedback rehabilitation.
实时脑磁图(rtMEG)是一种新兴的神经反馈技术,它可能会使基础神经科学和临床神经科学的多个领域受益。在本研究中,我们在rtMEG系统中实施了基于体素的实时相干性测量,在该系统中,我们使用波束形成器在计算虚相干之前在解剖空间中定位信号源。我们的rtMEG实验表明,一名健康受试者在关注闪烁视觉刺激时,可以增强顶叶皮层和视觉皮层之间的相干性。这一发现表明,我们的系统适用于神经反馈训练,并且对于实际的脑机接口应用或神经反馈康复可能会有用。