PLoS Computational Biology paper combining fMRI and MEG published

Non-invasive mapping of the temporal processing hierarchy in the human visual cortex

K Eickhoff, A Hillebrand, T Knapen, MC de Jong, SO Dumoulin

See the publication page for the full reference and links.

The paper introduces a forward model that links population receptive field maps measured with fMRI to responses measured with MEG. For each visual field map, the model predicts its contribution to the MEG signal. Comparing these predictions with the measured responses shows how much each map contributes, and when. Primary visual cortex explained most of the variance in the MEG sensors, and did so earlier than extrastriate areas.

The method is available as the Python toolbox pRFtime.