MEGnet: Automatic ICA-based artifact removal for MEG using spatiotemporal convolutional neural networks

Magnetoencephalography (MEG) is a functional neuroimaging tool that records the magnetic fields induced by neuronal activity; however, signal from non-neuronal sources can corrupt the data. Eye-blinks, saccades, and cardiac activity are three of the most common sources of non-neuronal artifacts. The...

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Detalles Bibliográficos
Autores principales: Treacher, Alex H., Garg, Prabhat, Davenport, Elizabeth, Godwin, Ryan, Proskovec, Amy, Bezerra, Leonardo Guimaraes, Murugesan, Gowtham, Wagner, Ben, Whitlow, Christopher T., Stitzel, Joel D., Maldjian, Joseph A., Montillo, Albert A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9125748/
https://www.ncbi.nlm.nih.gov/pubmed/34274419
http://dx.doi.org/10.1016/j.neuroimage.2021.118402

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9125748/
https://www.ncbi.nlm.nih.gov/pubmed/34274419
http://dx.doi.org/10.1016/j.neuroimage.2021.118402

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