Magnetoencephalography : from signals to dynamic cortical networks
著者
書誌事項
Magnetoencephalography : from signals to dynamic cortical networks
（Springer reference）
Springer, c2019
2nd ed.
- v. 1
並立書誌 全1件
大学図書館所蔵 全1件
注記
Includes bibliographical references
内容説明・目次
内容説明
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
目次
MEG as an Enabling Tool in Neuroscience - Transcending Boundaries with New Analysis Methods and Devices
Instrumentation for Measuring MEG Signals
Novel Noise Reduction Methods
Electric and Magnetic Fields of the Brain
Forward Modeling and Tissue Conductivities
EEG/MEG Source Estimation and Spatial Filtering: The Linear Toolkit
Designing MEG Experiments
Magnetoencephalographic Imaging
MEG and Multimodal Integration
Simultaneous recordings of MEG and intracerebral EEG
Fusing Concurrent EEG and fMRI Intrinsic Networks
Nonparametric Statistical Analysis of Map Topographies on the Epoch Level
Dual Signal Subspace Projection (DSSP): A Powerful Algorithm for Interference Removal and Selective Detection of Deep Sources
MNE: Software for Acquiring, Processing,and Visualizing MEG/EEG Data
MRIVIEW: A Software Package for the Analysis and Visualization of Brain Imaging Data
MEG/EEG Data Analysis Using EEGLAB
MEG-SIM Web Portal: A Database of Realistic Simulated and Empirical MEG Data for Testing Algorithms
An Introduction to MEG Connectivity Measurements
Human Brain Oscillations: From Physiological Mechanisms to Analysis and Cognition
Studying Dynamic Neural Interactions with MEG
Unified Principles of Thalamocortical Network Dynamics: A Framework for Typical/Atypical Functional Connectivity
Temporal and Spectral Signatures of the Default Mode Network
Methods to Estimate Functional and Effective Brain Connectivity from MEG Data Robust to Artifacts of Volume Conduction
Recent Developments in MEG Network Analysis
Analyzing MEG Data with Granger Causality: Promises and Pitfalls
Fetal Magnetoencephalography (fMEG)
Current Status and Future Prospects of Perinatal MEG
Whole-Head Child MEG Systems and Their Applications
Brain Dynamics in Pediatric MEG
MEG Studies on the Connectivity of Brain Networks in Children
Technological Challenges of Pediatric MEG and Potential Solutions: The Aston Experience
Application of MEG in Understanding the Development of Executive and Social Cognitive Functions
Language Processing in Atypical Development: Looking Below the Surface with MEG
Towards the Understanding of Healthy and Pathological Aging Through MEG
Timing the Brain to Time the Mind: Critical Contributions of Time-resolved Neuroimaging for Temporal Cognition
MEG Auditory Research
MEG Studies on Music
Sensorimotor Integration: The Somatosensory System and Voluntary Movement
Pain- and Itch-Related Magnetic Fields
Selection of Stimulus Parameters for Visual MEG Studies of Sensation and Cognition
MEG in Epilepsy and Pre-surgical Functional Mapping
Toward Brain Connectivity in Epilepsy Using MEG
Presurgical MEG to Forecast Pediatric Cortical Epilepsies
Presurgical Localization of Language Regions and Their Networks
Cognitive Decline Associated with Aging, Alzheimer's Disease, and Cerebrovascular Risk: Advantages of Dynamic Imaging with MEG
Review of Schizophrenia Research Using MEG
MEG Imaged Pathways of Stuttering
Neuropsychopharmacology: Recent MEG Investigations
Developments in Clinical MEG and Its Combination with Navigated TMS
Neural Decoding and Brain Machine Interfaces Based on Electromagnetic Oscillatory Activities: A Challenge for MEG
Organizational Cognitive Neuroscience: A New Frontier for Magnetoencephalography
Food Meets Brain
Zero Helium Boiloff MEG Technology
Ultra-Low-Field MRI and Its Combination with MEG
Neuronal Current Imaging with Ultralow-Field NMR Techniques
Optically Pumped Magnetometers for MEG
On-Scalp MEG
Spin Electronics-Based Magnetic Sensors for Biomagnetic Measurements
Magnetic Relaxometry: A Comparison to Magnetoencephalography
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