Using variance information in magnetoencephalography measures of functional connectivity

► This work looks at the importance of MEG signal variance in connectivity measures ► Variance in MEG signal is spatially varying and frequency band dependant ► Seed based and ICA connectivity analysis is demonstrated ► Spatial delineation of networks is improved when variance information is used ► Applied in resting state and task positive MEG data