Program in Neural Computation, Carnegie Mellon University, Pittsburgh, PA 15213, USA.
Comput Intell Neurosci. 2011;2011:327953. doi: 10.1155/2011/327953. Epub 2011 May 17.
To date, the majority of studies using magnetoencephalography (MEG) rely on off-line analysis of the spatiotemporal properties of brain activity. Real-time MEG feedback could potentially benefit multiple areas of basic and clinical research: brain-machine interfaces, neurofeedback rehabilitation of stroke and spinal cord injury, and new adaptive paradigm designs, among others. We have developed a software interface to stream MEG signals in real time from the 306-channel Elekta Neuromag MEG system to an external workstation. The signals can be accessed with a minimal delay (≤45 ms) when data are sampled at 1000 Hz, which is sufficient for most real-time studies. We also show here that real-time source imaging is possible by demonstrating real-time monitoring and feedback of alpha-band power fluctuations over parieto-occipital and frontal areas. The interface is made available to the academic community as an open-source resource.
迄今为止，大多数使用脑磁图 (MEG) 的研究都依赖于对大脑活动的时空特性的离线分析。实时 MEG 反馈有可能使基础和临床研究的多个领域受益：脑机接口、中风和脊髓损伤的神经反馈康复，以及新的自适应范式设计等。我们已经开发了一个软件接口，能够将来自 Elekta Neuromag MEG 系统的 306 通道实时 MEG 信号流式传输到外部工作站。当以 1000 Hz 采样时，信号的访问延迟最小（≤45ms），这对于大多数实时研究已经足够了。我们还通过演示对顶枕部和额部区域的 alpha 频带功率波动进行实时监测和反馈，证明了实时源成像的可能性。该接口作为开源资源提供给学术界。
