Literature DB >> 2450009

Objective evaluation of differences in patterns of EEG topographical maps by Mahalanobis distance.

J Tatsuno1, H Ashida, A Takao.   

Abstract

The purpose of this work was to develop a method to objectively evaluate differences in topographical patterns between 2 groups of isopotential maps. Previous evaluations by other investigators had been based on subjective judgment which created problems in describing differences in patterns, particularly when the differences were subtle. In the method presented in this report, the differences are evaluated by the Mahalanobis distance calculated from polynomial coefficient vectors obtained from unbiased polynomial interpolation in order to calculate values of picture elements in the 2-dimensional maps. One polynomial coefficient vector corresponds to one pattern of the map, containing both EEG and locational information. Examples of the evaluation are shown in the maps of fast activities induced by the injection of thiopental, diazepam or both drugs to an adult volunteer. In 5 experimental situations (A, control; B, thiopental; C, thiopental and diazepam; D, diazepam; and E, diazepam and thiopental administration), the polynomial coefficient vectors were obtained. When Mahalanobis distances (Q value) between the 2 maps for the 5 situations, arranged in 8 different combinations, were calculated, the values corresponded significantly to the pattern differences found between the maps. The greater the Q value, the more dominant the pattern difference. The objective evaluation method presented in this report has significant advantages over the subjective method previously reported and should be of interest to investigators attempting to quantify topographical pattern differences.

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Year:  1988        PMID: 2450009     DOI: 10.1016/0013-4694(88)90137-x

Source DB:  PubMed          Journal:  Electroencephalogr Clin Neurophysiol        ISSN: 0013-4694


  4 in total

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Authors:  V L Towle; M Brigell; J P Spire
Journal:  Brain Topogr       Date:  1989       Impact factor: 3.020

2.  Developmental characteristics of topographic EEG in the newborn using an autoregressive model.

Authors:  S Ishiwa; T Ogawa; H Sonoda
Journal:  Brain Topogr       Date:  1991       Impact factor: 3.020

3.  Smoking induced changes in EEG two-dimensional maps and blood gas analysis.

Authors:  J Tatsuno
Journal:  Brain Topogr       Date:  1996       Impact factor: 3.020

4.  An application of autoregressive model to pattern discrimination of brain electrical activity mapping.

Authors:  T Ogawa; H Sonoda; S Ishiwa; Y Shigeta
Journal:  Brain Topogr       Date:  1993       Impact factor: 3.020

  4 in total

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