Darren Price1, Lena Palaniyappan1, Peter F. Liddle1, Elizabeth B. Liddle1, Emma Louise Hall1, Helen J. Smith1, Mary C. Stephenson1, Peter G. Morris1, Matthew J. Brookes1
1SPMMRC, University of Nottingham, Nottingham, Nottinghamshire, United Kingdom
fMRI has revolutionised systems neuroscience via the identification of a small number of remarkably robust spatially distributed networks that are active under many circumstances. However, whilst fMRI provides excellent spatial characterisation, its indirect nature and poor temporal resolution mean that it fails to provide information on the electrophysiological basis or precise timing of network events. Here, we use magnetoencephalography (MEG) to assess network electrodynamics and healthy subjects and patients with schizophrenia. We show that patients exhibit significant differences in amplitude and timing of task-induced electrophysiological responses. In this way we highlight the advantages of a multi-modal approach to network characterisation.