Magnetoencephalography: From Signals to Dynamic Cortical Networks (Series in Bioengineering)

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.

腦磁圖（MEG）是一種非常有價值的功能性腦部影像技術，可以直接、實時地監測神經元活動，這對於瞭解動態皮質網絡至關重要。本書的目的是全面介紹MEG領域的豐富性和跨學科性質，使其對新手和有經驗的研究人員更易於理解，並促進MEG領域的發展。本書全面介紹了MEG的基礎知識和最新的方法論、實證和臨床研究，針對碩士和博士生以及研究人員。本書包含三個層次的貢獻：1）儀器、測量、建模和實驗設計的教程；2）專題綜述，廣泛介紹相關研究主題；3）關於開放性、具有挑戰性的問題、未來發展和新應用的短篇貢獻。主題涵蓋了神經磁測量、信號處理和源定位技術，以及健康和疾病中感知和認知的動態功能網絡。專題綜述包括：基於SQUID和新型傳感器的發展、多模態整合（低場MRI和MEG；EEG和fMRI）、貝葉斯方法的多模態整合、直接神經成像、新型噪聲降低方法、源空間功能分析、腦狀態解碼、動態腦連接性、感覺運動整合、MEG在感知和認知方面的研究、丘腦皮質振盪、胎兒和新生兒MEG、兒童MEG研究、認知發展、MEG在癲癇、預手術定位、中風、精神分裂症、口吃、創傷性腦損傷、創傷後壓力症候群、抑鬱症、自閉症、老化和神經退行性方面的臨床應用，以及主要開源分析工具的概述。