Magnetoencephalography From Signals to Dynamic Cortical Networks 1st edition by Cheryl Aine, Aine Selma Supek – Ebook PDF Instant Download/Delivery: 3642330444 , 978-3642330445
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ISBN 10: 3642330444
ISBN 13: 978-3642330445
Author: Cheryl Aine, Aine Selma Supek
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. Our intentions with this book are to cover the richness and transdisciplinary nature of the MEG field, make it more accessible to newcomers and experienced researchers and to stimulate growth in the MEG area. The book presents a comprehensive overview of MEG basics and the latest developments in methodological, empirical and clinical research, directed toward master and doctoral students, as well as researchers. There are three levels of contributions: 1) tutorials on instrumentation, measurements, modeling, and experimental design; 2) topical reviews providing extensive coverage of relevant research topics; and 3) short contributions on open, challenging issues, future developments and novel applications. 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.
Magnetoencephalography From Signals to Dynamic Cortical Networks 1st Table of contents:
1. Tutorials on Measurement, Physical Basis of Analysis, and Experimental Design
Instrumentation for Measuring MEG Signals
Novel Noise Reduction Methods
Electric and Magnetic Fields of the Brain
Forward Modeling and Tissue Conductivities
Designing MEG Experiments
2. Source Analysis and Multi-Modal Integration
Magnetoencephalographic Imaging
MEG and Multimodal Integration
MEG/EEG Data Analysis Using EEGLAB
Fusing Concurrent EEG and fMRI Intrinsic Networks
MRIVIEW: A Software Package for the Analysis and Visualization of Brain Imaging Data
NUTMEG: Open Source Software for MEG/EEG Source Reconstruction
Recent Developments in MEG Network Analysis
Non-parametric Statistical Analysis of Map Topographies on the Epoch Level
MEG-SIM Web Portal: A Database of Realistic Simulated and Empirical MEG Data for Testing Algorithms
Analyzing MEG Data with Granger Causality: Promises and Pitfalls
3. Functional Connectivity and Oscillatory Activity
An Introduction to MEG Connectivity Measurements
Human Brain Oscillations: From Physiological Mechanisms to Analysis and Cognition
Studying Dynamic Neural Interactions with MEG
Thalamocortical Network Dynamics: A Framework for Typical/Atypical Cortical Oscillations and 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
Neural Decoding and Brain Machine Interfaces Based on Electromagnetic Oscillatory Activities: A Challenge for MEG
4. Neurodevelopment Across Lifespan
Fetal Magnetoencephalography (fMEG)
Pediatric MEG: Investigating Spatio-Temporal Connectivity of Developing Networks
MEG and Cognitive Developmental Studies
Language Processing in Atypical Development: Looking Below the Surface with MEG
Whole-Head Child MEG System and Its Applications
Towards the Understanding of Healthy and Pathological Aging Through MEG
Current Status and Future Prospects of Perinatal MEG
Technological Challenges of Pediatric MEG and Potential Solutions: The Aston Experience
Cognitive Decline Associated with Aging, Alzheimer’s Disease and Cerebrovascular Risk: Advantages of Dynamic Imaging with MEG
5. Basic and Clinical Studies
MEG Auditory Research
MEG Studies on Music
Sensorimotor Integration
Organizational Neuroscience: A New Frontier for Magnetoencephalography?
Pain- and Itch-Related Magnetic Fields
Selection of Stimulus Parameters for Visual MEG Studies of Sensation and Cognition
MEG Imaged Pathways of Stuttering
MEG in Epilepsy and Pre-surgical Functional Mapping
Towards Brain Connectivity in Epilepsy Using MEG
Review of Schizophrenia Research Using MEG
Neuropsychopharmacology: Recent MEG Investigations
Food Meets Brain
Presurgical MEG to Forecast Pediatric Cortical Epilepsies
Future Developments in Clinical MEG and Its Combination with nTMS
6. Emerging Technologies
Ultra-Low-Field MRI and Its Combination with MEG
Neuronal Current Imaging with Ultra-Low-Field NMR Techniques
Magnetic Relaxometry: A Comparison to Magnetoencephalography
Optically-Pumped Magnetometers for MEG
Spin Electronics Based Magnetic Sensors for Biomagnetic Measurements
Backmatter
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Tags: Cheryl Aine, Aine Selma Supek, Magnetoencephalography From, Cortical Networks