The book is a comprehensive knowledge base of MEG basics along with the latest developments in methodological, empirical and clinical research, directed toward masters and doctoral students, as well as researchers already in the field. 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, along with an overview of major open-source analysis tools. Part II: Source Analysis and Multi-modal Integration: Part IV: Functional Connectivity and Oscillatory Activity:  Part VI: Sensory and Cognitive Studies: Part VIII: Novel Brain Research Topics: weiterlesen