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Matthew Brookes. Measuring functional connectivity using MEG
Data: Feb 05, 2013

Zer: Measuring functional connectivity using MEG

Non: BCBL auditorium

Nork: Matt Brookes, The University of Nottingham, UK.

When: 10am

Brain network connectivity has been widely reported in fMRI. Using seed based temporal correlation approaches and independent component analysis, a number of different spatial patterns can be elucidated, each corresponding to a different network of brain areas. Such patterns include the sensory networks (e.g. sensorimotor, visual etc.) and the less well characterised attentional networks including the default mode network. fMRI can define the spatial signature of these networks with millimeter spatial accuracy. However, it suffers from poor time resolution due to the latency and longevity of the haemodynamic response meaning that the most rapid temporal dynamics cannot be probed. In this talk I will begin by reviewing current fMRI findings on network dynamics, including those from ultra high field systems. I will then move on to show recent results, obtained using MEG, which elucidate electrodynamic networks that, in part, mirror those found in fMRI. I will show that MEG signals are far richer in information content than those obtained using fMRI, and potentially, that these rich signals might significantly enhance our understanding of brain networks, their role, and the nature of connections between spatially separate but functionally related brain areas.