The increasing availability of MEG and the possibility to record EEG in the MR magnet emphasize the need for understandingthe specificity of electrophysiological measures in functional brain mapping.

Electrophysiological Basis of MEG/EEG Signals
Sylvain Baillet, University of Paris, CNRS, La Salpetriere, Paris, France

MEG/EEG Instrumentation and Experimental Design
Lauri Parkkonen, Helsinki University of Technology, Espoo, Finland


Principles of MEG/EEG Forward Modelling
Jens Haueisen, University Ilmenau, Germany


From Scalp to Source Estimates: Imaging and Localizing
John C. Mosher, Los Alamos National Laboratory, Los Alamos, NM, USA


Statistical Inference for MEG-EEG Imaging
Dimitrios Pantazis, University of Southern California, CA, USA

Wrap-up of Concepts with Software Demonstration
Francois Tadel, University of Paris, CNRS & INSERM, Neurospin, France


Brain Rhythmic Activity and Imaging Dynamic Networks: From Coactivation to Causality
Jan Kujala, Helsinki University of Technology, Espoo, Finland

Dynamic Causal Modelling
Rosalyn Moran, Functional Imaging Laboratory, London, UK


MEG and Cognitive Neuroscience
Riitta Salmelin, Helsinki University of Technology, Espoo, Finland

Clinical Use of MEG
Steven Stufflebeam, Athinoula A. Martinos Centre, Massachusetts General Hospital, Harvard, Charlestown, MA, USA