Abstract #0132

The Electrophysiological Basis of Resting State Networks

Matthew Jon Brookes¹, Mark Woolrich², Henry Luckhoo², Darren Price¹, Joanne Hale¹, Mary Stephenson¹, Gareth Barnes³, Stephen Smith⁴, Peter Morris¹

¹Sir Peter Mansfield Magnetic Resonance Centre, University of Nottingham, Nottingham, Nottinghamshire, United Kingdom; ²Oxford centre for human brain activity, University of Oxford, Oxford; ³Wellcome trust centre for neuroimaging, University College London, London; ⁴Oxford Centre for functional MRI of the brain, University of Oxford, Oxford

BOLD fMRI is capable of delineating functional brain networks with unparalleled spatial resolution. However, it is an indirect measure of brain activity and neither rapid temporal dynamics nor the electrophysiological basis of network function can be assessed using fMRI alone. Here, we report the results of a resting state magnetoencephalography (MEG) study that independently identifies multiple brain networks in MEG data. The networks elucidated exhibit significant spatial similarity to networks that have been well characterised by previous fMRI studies. These results confirm the electrophysiological basis of resting-fMRI networks and highlight the utility of a multi-modal approach for future studies.