Fig. 1.

Analysis pipeline for resting-state functional connectivity. We employed an atlas-guided beamforming approach using all 90 cortical and subcortical regions in the AAL atlas to define seed regions. ‘Virtual-sensor’ time-series were reconstructed and filtered into canonical frequency bands, and a Hilbert transform is applied to derive estimates of instantaneous amplitude and phase. Each pairwise combination of time-series amplitude envelopes was then cross-correlated to define the degree of connectivity between seeds (‘amplitude envelope intrinsic coupling’). Adjacency matrices for each group were then compiled and submitted to a network based statistic analysis, and significant network differences are visualised using the BrainNet viewer toolbox.