rtMEG: A Real-Time Software Interface for Magnetoencephalography
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...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi Limited
2011-01-01
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| Series: | Computational Intelligence and Neuroscience |
| Online Access: | http://dx.doi.org/10.1155/2011/327953 |
| Summary: | 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. |
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| ISSN: | 1687-5265 1687-5273 |