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Spatiotemporal Modeling on ECoG, Scalp-EEG and MEG

  • Christoph Baumgartner

Abstract

One of the major problems in clinical neurophysiology has been the investigation of physiological as well as pathological processes involving multiple simultaneously active brain regions using electrical and magnetic measurements [21, 29, 32, 34, 40, 41, 42, 138, 259, 319, 320, 321, 322, 323, 324, 325, 326, 379]. In this context, it is important to recognize that electric potentials or magnetic fields measured at the scalp do not merely reflect activity of neuronal populations immediately underlying the measurement site. Actually, many different and even remote neuronal populations, which are active simultaneously, contribute to scalp electric and magnetic recordings [258, 259]. Thus, the application of methods which allow modeling of multiple simultaneously active brain regions is warranted. We used spatiotemporal modeling to deal with this problem and applied a combined approach of principal component analysis (PCA) and multiple dipole modeling which will be outlined in the following.

Keywords

Spatiotemporal Pattern Spatiotemporal Modeling Single Dipole Significant Principal Component Successive Time Point 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Wien 1993

Authors and Affiliations

  • Christoph Baumgartner
    • 1
  1. 1.Neurological University ClinicViennaAustria

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