Abstract
This chapter focuses on MEG and EEG data analysis following artifact detection and removal. Basic time-domain analyses and issues related task-related data are initially examined. Analysis approaches for spontaneous activity and single-trial data in the time- and frequency-domains are introduced, including signal power, time–frequency and coherence analyses, cross-frequency coupling, connectivity, global field power, and dissimilarity of signal patterns. Source-modeling approaches are presented in detail, current dipoles versus distributed sources are compared, and head models are discussed. Spatial resolution and extent of neural sources are examined. The chapter concludes with a section devoted to common pitfalls in data analysis and interpretation.
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