Abstract

EEG/MEG Signal Processing

Highlights

  • Noninvasive functional brain imaging has become an important tool used by neurophysiologists, cognitive psychologists, cognitive scientists, and other researchers interested in brain function

  • In the last five decades the technology of noninvasive functional imaging has flowered, and researchers today can choose from EEG, MEG, PET, SPECT, MRI, NIRS, and fMRI

  • The ensuing forward model is inverted using an empirical Bayesian scheme that was described previously in several publications. This enables the pooling of data from multiple subjects and the reporting of results in stereotactic coordinates. It allows the graceful fusion of fMRI and MEG data within the same anatomical framework

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Summary

Introduction

Noninvasive functional brain imaging has become an important tool used by neurophysiologists, cognitive psychologists, cognitive scientists, and other researchers interested in brain function. The electroencephalography (EEG) and magnetoencephalography (MEG) have developed into one of the most important and widely used quantitative diagnostic tools in analysis of brain signals and patterns. EEG and MEG potentially contain a rich source of information related to functional, physiological, and pathological status of the brain.

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