To date, the majority of studies using magnetoencephalography (MEG) rely onoff-line analysis of the spatiotemporal properties of brain activity. Real-timeMEG feedback could potentially benefit multiple areas of basic and clinical research:brain-machine interfaces, neurofeedback rehabilitation of stroke andspinal cord injury, and new adaptive paradigm designs, among others. We havedeveloped a software interface to stream MEG signals in real time from the 306-channel Elekta Neuromag MEG system to an external workstation. The signalscan 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-timesource imaging is possible by demonstrating real-time monitoring and feedbackof alpha-band power fluctuations over parieto-occipital and frontal areas. The interface is made available to the academic community as an open-source resource.
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