Chapter 22. Brain Imaging Applications

  1. Aapo Hyvärinen,
  2. Juha Karhunen and
  3. Erkki Oja

Published Online: 15 MAY 2002

DOI: 10.1002/0471221317.ch22

Independent Component Analysis

Independent Component Analysis

How to Cite

Hyvärinen, A., Karhunen, J. and Oja, E. (2002) Brain Imaging Applications, in Independent Component Analysis, John Wiley & Sons, Inc., New York, USA. doi: 10.1002/0471221317.ch22

Author Information

  1. Neural Networks Research Center, Helsinki University of Technology, Finland

Publication History

  1. Published Online: 15 MAY 2002
  2. Published Print: 21 MAY 2001

ISBN Information

Print ISBN: 9780471405405

Online ISBN: 9780471221319

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Keywords:

  • brain imaging;
  • electroencephalography;
  • magnetoencephalography;
  • artifact identification;
  • evoked magnetic fields

Summary

Some kinds of brain imaging data seem to be quite well described by the ICA model. This is especially the case with electroencephalograms (EEG) and magnetoencephalograms (MEG), which are recordings of electric and magnetic fields of signals emerging from neural currents within the brain. In this chapter, the authors review some of these brain imaging applications, concentrating on EEG and MEG.