Subject area	Physiology
More specific subjects	Neuroscience
Type of data	Human neuroimaging data
How data was acquired	Magnetoencephalography, MRI, see Honkanen et al., 2015
Data format	MEG forward-, inverse-operators, simulated functional connectivity graphs
Experimental features	Source time-series were generated to reflect the functional connectivity of simulated ground-truth graphs. These ground-truth time-series were next forward- and inverse-modeled to represent a virtual MEG measurement thus introducing linear mixing between sources. Next, functional connectivity was estimated from these source-modeled time-series using a zero-lag-free interaction metric. Finally, hyperedge bundling were performed and hyperedge sensitivity, specificity and separatablity were compared against that of raw metric edges.
Data source location	Helsinki, Finland
Data accessibility	The sample dataset, software executable and source code is publically available from below link to repository:
	https://figshare.com/projects/Hyperedge_Bundling/26503
	These are original DATA that have not been published elsewhere