Format:
1 Online-Ressource (338 illus., 283 illus. in color. eReference)
Edition:
2nd ed. 2019
ISBN:
9783030000875
Series Statement:
Springer Nature eReference
Content:
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. This handbook covers the rich and transdisciplinary nature of the MEG field. The underlying motivation for this book was to make this diverse and extensive collection of chapters available to both newcomers and experienced researchers with the hope of stimulating growth in the MEG area. 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. The 2nd edition, which is now presented as a Springer Reference, has 9 sections compared to 5 in the first edition and includes a total of 61 chapters. It provides more in-depth tutorials on MEG as an enabling tool in neuroscience and on linear source estimation and spatial filtering approaches. A set of 11 new chapters and 20 updated chapters cover, among others, new topics such as simultaneous MEG and intracerebral EEG recordings, MEG studies on time processing and temporal cognition, open source MNE software, presurgical localization of language, emerging zero helium boil-off MEG technologies and provides updates on novel multi-modal fusion and related modeling approaches, open source analysis packages, neural decoding and MEG Brain Computer Interface, organizational cognitive neuroscience as well as developmental studies and clinical applications. In the last two years significant advances have been made in the field of novel sensor development, particularly for optically pumped magnetometers (OPMs) which are leading the way to a new generation of wearable MEG systems. Included in this new edition is a new chapter covering the topic of “on-scalp” MEG and an updated chapter on OPMs. 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: Selma Supek and Cheryl J. Aine 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 Application and Translational Studies: Nobukazu Nakasato Part VIII: Novel Brain Research Topics: Lauri Parkkonen Part IX: Emerging Technologies: Risto Ilmoniemi.
Additional Edition:
ISBN 9783030000868
Additional Edition:
Erscheint auch als Druck-Ausgabe ISBN 978-3-030-00086-8
Additional Edition:
Erscheint auch als Druck-Ausgabe Magnetoencephalography Cham : Springer, 2019 ISBN 9783030000868
Additional Edition:
ISBN 3030000869
Language:
English
Keywords:
Magnetoencephalographie
;
Biosignalverarbeitung
DOI:
10.1007/978-3-030-00087-5
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