Magnetoencephalography (MEG) is a non-invasive imaging technique that measures the magnetic fields produced by the electrical currents associated with neuronal function. It provides extremely high temporal resolution, and is complementary to structural and functional MRI methods.
Most MEG studies and analytic approaches are geared towards task-based acquisitions. Resting state MEG studies provide a unique set of challenges for analysis.
The ANSIR lab has developed a high-throughput fully automated MEG analysis pipeline for high-density source-space analysis of resting-state MEG data, incorporating a variety of head models, forward models, beamformers, and connectivity metrics.