Abstract
High Frequency Oscillations (HFOs, >80, Hz) are events that have been linked to the seizure onset zone (SOZ). Few studies have identified HFOs in noninvasive EEG and MEG signals due to the high signal-to-noise ratio (SNR) required, but beamforming-based virtual sensors (VS) can increase SNR. We computed the beamforming-VS as a grid inside the brain volume model for 200, s MEG signals. Events of interest (EOIs) exceeding a threshold were automatically determined as well as the area of interest, where EOIs occurred more frequently. Finally HFOs inside the area of interest were selected and compared with simultaneous iEEG recordings.
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CITATION STYLE
Migliorelli, C., Alonso, J. F., Romero, S., Mañanas, M. A., Nowak, R., & Russi, A. (2017). Visual Detection of High Frequency Oscillations in MEG. In Biosystems and Biorobotics (Vol. 15, pp. 769–773). Springer International Publishing. https://doi.org/10.1007/978-3-319-46669-9_126
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