Recovering TMS-evoked EEG responses masked by muscle artifacts.
作者： Tuomas P. Mutanen , Matleena Kukkonen , Jaakko O. Nieminen , Matti Stenroos , Jukka Sarvas
DOI: 10.1016/J.NEUROIMAGE.2016.05.028
关键词:
摘要: Abstract Combined transcranial magnetic stimulation (TMS) and electroencephalography (EEG) often suffers from large muscle artifacts. Muscle artifacts can be removed using signal-space projection (SSP), but this make the visual interpretation of remaining EEG data difficult. We suggest to use an additional step after SSP that we call source-informed reconstruction (SIR). SSP–SIR improves substantially signal quality artifactual TMS–EEG data, causing minimal distortion in neuronal components. In approach, first project out artifact SSP. Utilizing anatomical model signal, estimate equivalent source distribution brain. Finally, map obtained onto original space, again information. This approach restores signals sensor space interpolates traces completely rejected channels. The introduced algorithm efficiently suppresses TMS-related while retaining well topographies signals. With presented method, remove recover underlying brain responses without compromising readability interest.
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