Literature DB >> 6493480

Computerized topo-EEG spectral maps: difficulties and perspectives.

D O Walter, P Etevenon, B Pidoux, D Tortrat, S Guillou.   

Abstract

An electric potential measurement tells us only about the difference between two electrode locations. When prior experiments or present measurements prove that an electrode's location is inactive (especially in 'mono-polar' or scalp-to-reference technique), then EEG records and EEG maps can be interpreted regionally near each electrode location. Topographical mapping requires spatial interpolation which is one factor involved in spatial resolution. The interpolation algorithm has been studied by changing the power exponent n of the interelectrode distance d. When n is close to zero, interpolated values are all equal to the average of the four electric potential measurement Vs bounding the quadrilateral in which the interpolated points of the EEG map are located. When n is very high (n = 20 or higher), the values are essentially equal to the V which is at the minimum distance d. For n = 1, the map seems unlikely to represent the true scalp field. The choice between n = 2 and n = 3 is difficult, but n = 3 EEG mapping looks better (more plausible) and is our regular choice. The choice of recording/reporting method has also been studied. If the quantitative EEG map is linearly calculated from observations, the interpretation of record activity resulting from charge separation near the non-reference electrode attached to a particular channel is only possible when inactivity can be assured. This is completely different when the quantity mapped is not linearly calculated from observations (like power values or rms amplitudes in microvolts).(ABSTRACT TRUNCATED AT 250 WORDS)

Mesh:

Year:  1984        PMID: 6493480     DOI: 10.1159/000118093

Source DB:  PubMed          Journal:  Neuropsychobiology        ISSN: 0302-282X            Impact factor:   2.328


  5 in total

1.  Brain evoked potential topographic mapping based on the diffuse approximation.

Authors:  D Bouattoura; P Gaillard; P Villon; F Langevin
Journal:  Med Biol Eng Comput       Date:  1998-07       Impact factor: 2.602

2.  Intraoperative auditory evoked potential recordings are more reliable at signal detection from different sensor sites on the forehead compared to bispectral index.

Authors:  Yoshiya Ishioka; Shigekazu Sugino; Tomo Hayase; Piotr K Janicki
Journal:  J Clin Monit Comput       Date:  2015-12-12       Impact factor: 2.502

3.  Inter- and intra-individual probability maps in EEG cartography by use of nonparametric Fisher tests.

Authors:  P Etévenon; A Bertaut; F Mitermite; F Eustache; J Lepaisant; B Lechevalier; E Zarifian
Journal:  Brain Topogr       Date:  1989 Fall-Winter       Impact factor: 3.020

4.  Probability mapping: power and coherence analyses of cognitive processes.

Authors:  P Rappelsberger; H Petsche
Journal:  Brain Topogr       Date:  1988       Impact factor: 3.020

5.  Brain mapping: a contribution to linear interpolation.

Authors:  D C Casaglia; G G Pantaleo
Journal:  Brain Topogr       Date:  1993       Impact factor: 3.020

  5 in total

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