A simple reason why beamformer may (not) remove the tACS-induced artifact in MEG
Research output: Contribution to journal › Article › Scientific › peer-review
with magnetoencephalography (MEG) could be a useful tool for studying brain oscillations and their relation to cognitive functions, but the method, however, suffers from large tACS-induced MEG artifacts. Conventional beamformer methods have been suggested for removing - or at least reducing - the artifact, but its functioning principle is not yet fully understood. We demonstrate the reason behind the beamformer’s ability to remove/reduce the tACS artifact (and other mutually correlated noise sources) with simple theoretical reasoning and simulations. In addition, at odds with previous suggestions, we show how the imperfections of this removal method could be explained with basic linear algebra without any need to consider nonlinear effects.
|Number of pages||2|
|Publication status||Published - Aug 2017|
|MoE publication type||A1 Journal article-refereed|