MEG

Peter C. Hansen, DPhil, is the Director of Neuroinformatics at the Birmingham University Imaging Centre (BUIC) and Senior Research Fellow in the School of Psychology, University of Birmingham, UK.Morten L. Kringelbach, DPhil, is the Director of Hedonia: Trygfonden Research Group and holds a dual appointment at the University of Oxford, UK, and Aarhus University, Denmark, where he is a Senior Research Fellow and a Professor of Neuroscience, respectively.Riitta Salmelin, DSc (Tech), is Academy Professor at the Brain Research Unit, Low Temperature Laboratory, Helsinki University of Technology, Finland.

Compact and clear. . . a good choice.

• ContributorsIntroductionChapter 1: Electrophysiological basis of MEG signalsFernando H. Lopes da Silva Chapter 2: Instrumentation and data pre-processingLauri Parkkonen Chapter 3: MeasurementsLauri Parkkonen and Riitta Salmelin Chapter 4: The dowser in the fields: Searching for MEG sourcesSylvain Baillet Chapter 5: Statistical Inference in MEG Distributed Source ImagingDimitrios Pantazis, Richard M. Leahy Chapter 6: Multi-Dipole Modelling in MEGRiitta Salmelin Chapter 7: Estimating Distributed Representations of Evoked Responses and Oscillatory Brain ActivityOle Jensen and Christian Hesse Chapter 8: Anatomically and Functionally Constrained Minimum-Norm EstimatesMatti S. Hämäläinen, Fa-Hsuan Lin, and John C. Mosher Chapter 9: Non-invasive functional tomographic connectivity analysis with magnetoencephalographyJoachim Gross, Jan Kujala, Riitta Salmelin, Alfons Schnitzler Chapter 10: Combining neuroimaging techniques: the futureJean-Baptiste Poline, Line Garnero and Pierre-Jean Lahaye Chapter 11: Somatosensory and motor functionRyusuke Kakigi and Nina Forss Chapter 12: The use of MEG in clinical settingsJyrki P. Mäkelä Chapter 13: From perception to linguistic analysisRiitta Salmelin Chapter 14: Using magnetoencephalography to elucidate the principles of deep brain stimulationMorten L. Kringelbach, Peter C. Hansen, Alex L. Green, Tipu Z. AzizIndex