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Abstract #0132

The Electrophysiological Basis of Resting State Networks

SUMMA25Matthew 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.

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