Brain Signals: Physics and Mathematics of MEG and EEG

基本信息

Series:The MIT Press

Format:Hardback 256 pages, 60 color illus.; 120 Illustrations, unspecified

Publisher:MIT Press Ltd

Imprint:MIT Press

ISBN:9780262039826

Published:28 May 2019

Classifications:Neurology & clinical neurophysiology, Neurosciences

Weight:702g

Dimensions:187 x 238 x 14 (mm)

页面参数仅供参考，具体以实物为准

书籍简介

对大脑产生的电磁场的产生和分析进行了统一处理。

在《脑信号》中，Risto Ilmoniemi和Jukka Sarvas介绍了脑磁图（MEG）和脑电图（EEG）的基本物理和数学原理，描述了神经电磁场中有什么样的信息，以及如何分析测得的MEG和EEG信号。与以前关于这些主题的大多数著作不同，这些著作是不同作者使用不同惯例的著作的集合，本书以统一的方式介绍了这些材料，为读者提供了对基本原理的透彻理解，并为分析脑电图和EEG产生的数据提供了坚实的基础。本书首先简要介绍了大脑状态以及EEG和MEG的早期历史，描述了神经元活动产生的电磁场，并讨论了电磁超前问题。然后，作者转向EEG和MEG分析，提供了分析数据所需的线性和矩阵代数及基本统计学的回顾，并介绍了几种分析方法：偶极子拟合；z小规范估计（MNE）；波束成形；多信号分类算法（MUSIC）；独立成分分析（ICA）；和联合对角化的盲源分离（BSS）。

A unified treatment of the generation and analysis of brain-generated electromagnetic fields.

In Brain Signals, Risto Ilmoniemi and Jukka Sarvas present the basic physical and mathematical principles of magnetoencephalography (MEG) and electroencephalography (EEG), describing what kind of information is available in the neuroelectromagnetic field and how the measured MEG and EEG signals can be analyzed. Unlike most previous works on these topics, which have been collections of writings by different authors using different conventions, this book presents the material in a unified manner, providing the reader with a thorough understanding of basic principles and a firm basis for analyzing data generated by MEG and EEG. The book first provides a brief introduction to brain states and the early history of EEG and MEG, describes the generation of electromagnetic fields by neuronal activity, and discusses the electromagnetic forward problem. The authors then turn to EEG and MEG analysis, offering a review of linear and matrix algebra and basic statistics needed for analysis of the data, and presenting several analysis methods: dipole fitting; the minimum norm estimate (MNE); beamforming; the multiple signal classification algorithm (MUSIC), including RAP-MUSIC with the RAP dilemma and TRAP-MUSIC, which removes the RAP dilemma; independent component analysis (ICA); and blind source separation (BSS) with joint diagonalization.

作者简介

里斯托·伊尔莫尼米是芬兰阿尔托大学的应用物理学教授和神经科学与生物医学工程系主任。

Risto Ilmoniemi is Professor of Applied Physics and Head of the Department of Neuroscience and Biomedical Engineering at Aalto University, Finland.

尤卡·萨尔瓦斯是阿尔托大学神经科学和生物医学工程系的名誉教授和高级顾问。

Jukka Sarvas is Professor Emeritus and Senior Adviser in the Department of Neuroscience and Biomedical Engineering at Aalto University.