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. 2020 Jul 6;27:102336. doi: 10.1016/j.nicl.2020.102336

Fig. 1.

Fig. 1

Summary of the analysis strategy: Hd-EEG and structural MRI (T1 or MPRAGE) were acquired. Around 5000 source-waveforms distributed equally in the grey matter were estimated by a distributed source localization algorithm (LAURA) from the resting state hd-EEG. The head model was based on the individual MRI and parcelled into 82 regions of interest (ROI). The activity in each ROI was summarised with a unique time-series through SVD. Connectivity matrices were estimated through iPDC. Efficiency was calculated for the entire brain and for the 7 resting state networks.