(The MIT Press) 1st Edition
by Risto J. Ilmoniemi (Author), Jukka Sarvas (Author)
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.
