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An image of correlation between beamformer weights at the seed location, and all other locations in the head was also derived. All final connectivity images were thresholded at ��FWE?U0126 solubility dmso of significant eigenmodes (Eq.?(14)). For each significant (��?LMTK2 Fig.?1B, shows an equivalent functional connectivity map, but in this case, correction for signal leakage has been applied. Notice that the second interacting source in the left hemisphere remains accurately localised, but seed blur is eliminated completely. In both cases, the images have been thresholded at ��FWE?selleck kinase inhibitor Fig.?1C shows a visualisation of X and Y (not orthogonalised), extracted from simulated source locations in the left and right motor areas. This shows graphically the sinusoidal interaction simulated between the two sources in the 20�C40?Hz band. Finally, Fig.?1D shows H, the variance explained as a function of frequency (note again that for this visualisation, X and Y were not orthogonalised meaning that H is genuinely representative of the raw frequency bands). Here the expected interaction in the 20�C40?Hz band is highlighted. This figure exemplifies the power of the approach described; data have been analysed across a broad frequency range (comprising 7 distinct bands), with interactions simulated in the 20�C40?Hz band only. In addition to accurate localisation of the interacting source, the method also effectively eliminates seed blur. Fig.?2 shows the achieved vs. expected false positive rate counts for simulated data (simulations 1, 2 and 3 above). Fig.?2A shows the actual false positive rate plotted against the expected false positive rate for a single simulated source (simulation 1 ��+��) and two non-interacting simulated sources (simulation 2 ��o��). 500 realisations of both simulations were run, and for each realisation the source timecourse, source orientation and the noise data were randomised. Connectivity images were reconstructed on a 1?cm grid spanning the whole brain.