Estimating cross-modal transfer functions without source ground truth
Develop methods to estimate the cross-modal transfer-function matrices required for temporal geometric eigenmode source localisation from experimental scalp EEG without direct knowledge of the underlying neural source activity.
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The strong performance of the empirical and oracle approaches raises an important practical question: how could the required transfer function matrices be estimated without knowledge of the true underlying source activity? In the present simulation study, the source dynamics were known and could therefore be projected directly into the eigenmode basis to estimate the corresponding cross-modal relationships. However, with experimental scalp EEG, the underlying source activity is itself unknown. We thus have a seemingly recursive problem in that an accurate source estimate is required to estimate the transfer functions to produce an accurate source estimate.