AI 中文总结
该研究围绕使用EEG和MEG探索脑网络展开，阐述了其物理原理、正逆问题等方法基础及实际工作流程，涵盖多种连通性测量方法和新兴途径，为相关研究人员和学生提供了概念与实践指导。
AI 中文摘要
脑电图（EEG）和脑磁图（MEG）能以毫秒级时间分辨率对大脑活动进行非侵入性测量，有助于研究大规模脑网络内的功能和有效相互作用。本章全面概述了基于EEG/MEG的脑网络分析的方法基础和实际工作流程。首先回顾了EEG和MEG的物理原理，强调其互补优势和局限性。接着描述了正问题和逆问题，包括个体头部建模、源重建技术等。讨论了减轻容积传导和信号泄漏的策略及源空间连通性分析的最佳实践。还回顾了常用的功能和有效连通性测量方法。介绍了现代端到端分析管道。最后讨论了新兴方法，为利用EEG和MEG绘制和解释人类脑网络的研究人员和学生提供了概念基础和实践指导。
英文摘要
Electroencephalography (EEG) and magnetoencephalography (MEG) provide noninvasive measurements of brain activity with millisecond temporal resolution, enabling the investigation of functional and effective interactions within large-scale brain networks. This chapter presents a comprehensive overview of the methodological foundations and practical workflows for EEG/MEG-based brain network analysis. We first review the physical principles underlying EEG and MEG, emphasizing their complementary strengths and limitations. We then describe the forward and inverse problems, including subject-specific head modeling, source reconstruction techniques, and the importance of accurate anatomical modeling for reliable source localization. Strategies for mitigating volume conduction and signal leakage are discussed, together with best practices for source-space connectivity analysis. The chapter reviews widely used functional and effective connectivity measures, including coherence, phase synchronization metrics, amplitude envelope correlation, Granger causality, dynamic causal modeling, and transfer entropy, highlighting their assumptions, advantages, and limitations. Modern end-to-end analysis pipelines are presented, with particular emphasis on Brainstorm and complementary open-source software for reproducible EEG/MEG research. Finally, we discuss emerging approaches, including time-varying connectivity, cross-frequency interactions, and network-based analyses, illustrating how noninvasive electrophysiology contributes to understanding brain organization in health and disease. The chapter provides both conceptual foundations and practical guidance for researchers and advanced students seeking to map and interpret human brain networks using EEG and MEG.
CommentsBook chapter manuscript including 6 figures and comprehensive references
