This book covers the richness and transdisciplinary nature of the MEG field, making it more accessible to newcomers and experienced researchers and stimulating growth in the MEG area. Magnetoencephalography (MEG) is an invaluable functional brain imaging technique that provides direct, real-time monitoring of neuronal activity necessary for gaining insight into dynamic cortical networks.

The new edition, which is now presented as a Springer Reference, provides more in depth tutorial on physiological basis of MEG and its spatio-temporal resolution as well as evaluation of a range of modeling approaches based on their theoretical and physiological basis. A set of 29 new chapters cover families of modeling approaches, novel  multi-modeling fusions and related modeling approaches, more open  source analysis packages and how they perform on simulated and  empirical data, more clinical applications. An entire new section is added for novel brain research topics such as neurophysiological basis of consciousness, social interaction, economic decision making. In the last two years significant advances have been made in the field of novel sensor developments, particularly optically pumped magnetometers which will be leading to new MEG systems. SQUID based systems are already profiting from a range of emerging zero helium boil-off MEG technologies which we will be covering. 

The book presents a comprehensive knowledge source of MEG basics and the latest developments in methodological, empirical and clinical research, directed toward master and doctoral students, as well as researchers. The topics range from neuromagnetic measurements, signal processing and source localization techniques to dynamic functional networks underlying perception and cognition in both health and disease. Topical reviews cover, among others: development on SQUID-based and novel sensors, multi-modal integration (low field MRI and MEG; EEG and fMRI), Bayesian approaches to multi-modal integration, direct neuronal imaging, novel noise reduction methods, source-space functional analysis, decoding of brain states, dynamic brain connectivity, sensory-motor integration, MEG studies on perception and cognition, thalamocortical oscillations, fetal and neonatal MEG, pediatric MEG studies, cognitive development, clinical applications of MEG in epilepsy, pre-surgical mapping, stroke, schizophrenia, stuttering, traumatic brain injury, post-traumatic stress disorder, depression, autism, aging and neurodegeneration, MEG applications in cognitive neuropharmacology and an overview of the major open-source analysis tools.

The book was edited by a board of internationally renowned scientists serving as Section Editors:

Part I: MEG TUTORIALS                                                       Seppo Ahlfors                  

Part II: SOURCE ANALYSIS

           AND MULTI-MODAL INTEGRATION               Mingxiong Huang

Part III: OPEN SOURCE ANALYSIS PACKAGES                     Alexandre Gramfort

Part IV: FUNCTIONAL CONNECTIVITY

            AND OSCILLATORY ACTIVITY                   Matthew Brooks

Part V: NEURODEVELOPMENT ACROSS LIFESPAN          Julia M. Stephen                                                             

Part VI: SENSORY AND COGNITIVE STUDIES                        Catherine Tallon-Baudry

Part VII: CLINICAL APPLICATIONS

             AND TRANSLATIONAL STUDIES                                 Nobukazu Nakasato

Part VIII: NOVEL BRAIN RESEARCH TOPICS                           Lauri Parkkonen

Part IX: EMERGING TECHNOLOGIES                                       Risto Ilmoniemi

Dr. Selma Supek obtained her degrees in physics. She entered the field of functional brain imaging using MEG during her doctoral research in the Biophysics Group, Los Alamos National Laboratory - LANL (1988-1993). After returning to Zagreb, Croatia she continued collaborations with MEG/EEG laboratories at LANL and Mind Research Network and established new ones at ITAB in Chieti, HUCH BioMag Laboratory, Aalto University, University of Heidelberg, TU Ilmenau, and University of Jena. Research interests of Selma Supek include retinotopic organization of the visual cortex, spatio-temporal resolution of MEG, face processing, cognitive neurodynamics, auditory processing, translational and educational neuroscience. She introduced functional brain imaging methods, in particular MEG, in Croatia both in research and education programs at diploma and doctoral levels. Selma Supek founded a series of intensive international graduate courses MIND AND BRAIN www.brain.com.hr within the academic program of the InterUniversity Centre Dubrovnik, and co-founded and co-directed the first interdisciplinary international postgraduate program ''Language Communication and Cognitive Neuroscience'' of the University of Zagreb. She organized and chaired Biomag2010 www.biomag2010.org and serves as a permanent member of the International Advisory Board for Biomag conferences which she chaired in 2010-2012.
Dr. Cheryl Aine has more than 30 years of research experience in the neuroimaging field (e.g, ERPs, MEG, fMRI, DTI, PET, Xenon-133 for imaging rCBF). She is most noted for her work using MEG and has served in several leadership positions (e.g., Deputy Group Leader in the Physics Division at Los Alamos National Laboratory and Director of the MEG groups at the Veterans Affairs, the MIND Institute (currently the Mind Research Network), and the University of New Mexico Department of Radiology in Albuquerque, New Mexico). Her research interests have ranged from basic vision (e.g., retinotopic organization of human visual cortex and visual selective attention), use of simulated data to validate analysis methods, and studies of cognitive decline in clinical populations (e.g., normal aging, mild cognitive impairment/Alzheimer's disease, schizophrenia). 
As Section Editors served a board of internationally renowned scientists:

Seppo P. Ahlfors
Matthew J. Brookes
Alexandre Gramfort
Mingxiong Huang
Risto Ilmoniemi
Nobukazu Nakasato
Lauri Parkkonen
Julia M. Stephen
Catherine Tallon-Baudry