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Can dynamic functional connectivity be used to distinguish between resting-state and motor imagery in EEG-BCIs?

Rodrigues, P. G., Filho, C. A. S., Takahata, A. K., Suyama, R., Attux, R., Castellano, G., Sato, J. R., Nasuto, S. J. and Soriano, D. C. (2022) Can dynamic functional connectivity be used to distinguish between resting-state and motor imagery in EEG-BCIs? In: Benito, R. M., Cherifi, C., Cherifi, H., Moro, E., Rocha, L. M. and Sales-Pardo, M. (eds.) Complex Networks & Their Applications X. Volume 2, Proceedings of the Tenth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2021. Studies in Computational Intelligence (1016). Springer, Cham, pp. 688-699. ISBN 9783030934125

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To link to this item DOI: 10.1007/978-3-030-93413-2_57


Item Type:Book or Report Section
Refereed:Yes
Divisions:Life Sciences > School of Biological Sciences > Department of Bio-Engineering
ID Code:103371
Publisher:Springer, Cham

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