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Aliasing’s impact on MEG systems can be measured by measuring the percentage of variance explained by source models in lead field matrices, plotted against channel count. This allows one to quantify how it affects performance across different source space smoothing levels (none, 10 mm, 20 mm and 50 mm for two types of MEG systems).
As the void radius (excluding sources ) expands, confidence in model comparison and spatial discrimination wanes as more sources are excluded from analysis. This can be seen through correlation curves between MEG data and various models with differing degrees of free energy – the dotted line indicates where true source models should be distinguished from competing source models.