• Corpus ID: 219304991

Spatial sampling of MEG and EEG revisited: From spatial-frequency spectra to model-informed sampling.

@article{Iivanainen2020SpatialSO,
  title={Spatial sampling of MEG and EEG revisited: From spatial-frequency spectra to model-informed sampling.},
  author={Joonas Iivanainen and Antti J. Makinen and Rasmus Zetter and Matti Stenroos and Risto J. Ilmoniemi and Lauri Parkkonen},
  journal={arXiv: Medical Physics},
  year={2020}
}
In this paper, we analyze spatial sampling of electro- (EEG) magnetoencephalography (MEG), where the electric or magnetic field is typically sampled on a curved surface such as the scalp. Using simulated measurements, we study the spatial-frequency content in EEG as well as in on- and off-scalp MEG. The analysis suggests that on-scalp MEG would generally benefit from three times more samples than EEG or off-scalp MEG. Based on the theory of Gaussian processes and experimental design, we suggest… 

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