Abstract
Using a whole-head MEG system, we investigated the possibility of distinguishing between directions of hand movement in the mu-beta (8-32 Hz) and high gamma (76-100 Hz) frequency bands in the hand knob and surrounding prefrontal gyrus. We found that four cardinal directions (up, down, left, right) in center-out tasks could be distinguished to a statistically significant extent in the beta band. While no statistically significant difference was found in the gamma band, it was possible to discriminate between hand movement and rest based on hand knob-localized event-related synchronization. Analysis of hand movement in the beta band could lead to finer coordination of brain computer interfaces.
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© 2010 Springer-Verlag Berlin Heidelberg
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Yeager, T., Ard, T.D., Carver, F.W., Holroyd, T., Coppola, R. (2010). MEG Virtual Channel Methods for Movement Prediction and Training. In: Supek, S., Sušac, A. (eds) 17th International Conference on Biomagnetism Advances in Biomagnetism – Biomag2010. IFMBE Proceedings, vol 28. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12197-5_37
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DOI: https://doi.org/10.1007/978-3-642-12197-5_37
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-12196-8
Online ISBN: 978-3-642-12197-5
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