RtMEG: A real-time software interface for magnetoencephalography

Douglas J. Weber; Gustavo Sudre; Lauri Parkkonen; Elizabeth Bock; Sylvain Baillet; Wei Wang

doi:10.1155/2011/327953

RtMEG: A real-time software interface for magnetoencephalography

Douglas J. Weber, Gustavo Sudre, Lauri Parkkonen, Elizabeth Bock, Sylvain Baillet, Wei Wang

Section of Neuroradiology

Research output: Contribution to journal › Article › peer-review

46 Scopus citations

Abstract

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 (≤45ms) when data are sampled at 1000Hz, 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.

Original language	English
Article number	327953
Journal	Computational Intelligence and Neuroscience
Volume	2011
DOIs	https://doi.org/10.1155/2011/327953
State	Published - 2011

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AU - Wang, Wei

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RtMEG: A real-time software interface for magnetoencephalography

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