Literature DB >> 3275120

Topographic mapping of the EEG: an examination of accuracy and precision.

Z J Koles1, R B Paranjape.   

Abstract

The accuracy and precision of topographic maps depicting scalp potentials and scalp potentials squared have been examined. Electrode placement was that specified by the International 10-20 System and the methods of interpolation bilinear and bicubic spines. The results indicate that, for these interpolation methods, the maximum error expected between the measured scalp quantities and those predicted by interpolation is positively correlated to the root-mean-square value of the measured quantity. Both interpolation methods produce accurate estimates of the interelectrode quantities. Both methods produce precise estimates of the scalp potential in the delta, theta and alpha frequency bands but only poor estimates in the beta band. The precision of the estimates of the scalp potentials squared is poor in all frequency bands. This result indicates that another look at the now common practice of topographically mapping the power-spectral components of the EEG is in order. In general, the bilinear and bicubic spline methods of interpolation perform about equally. This result is used to suggest that because of its additional computational complexity, use of the bicubic method for potential mapping may not be warranted. Advantages of the bicubic method, particularly in radial-current mapping, are however discussed.

Mesh:

Year:  1988        PMID: 3275120     DOI: 10.1007/bf01129173

Source DB:  PubMed          Journal:  Brain Topogr        ISSN: 0896-0267            Impact factor:   3.020


  10 in total

1.  Mapping of scalp potentials by surface spline interpolation.

Authors:  F Perrin; J Pernier; O Bertrand; M H Giard; J F Echallier
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1987-01

2.  Interelectrode distance and amplitude of the scalp EEG.

Authors:  C M Epstein; G P Brickley
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1985-04

3.  Computed radial-current topography of the brain: patterns associated with the normal and abnormal EEG.

Authors:  Z J Koles; A Kasmia; R B Paranjape; D R McLean
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1989-01

4.  Scalp current density mapping: value and estimation from potential data.

Authors:  F Perrin; O Bertrand; J Pernier
Journal:  IEEE Trans Biomed Eng       Date:  1987-04       Impact factor: 4.538

5.  Brain electrical activity mapping (BEAM): a method for extending the clinical utility of EEG and evoked potential data.

Authors:  F H Duffy; J L Burchfiel; C T Lombroso
Journal:  Ann Neurol       Date:  1979-04       Impact factor: 10.422

6.  Simple manual plotting of contours as a method of EEG analysis.

Authors:  P Naitoh; D O Walter
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1969-04

7.  A new system for gray-level surface distribution maps of electrical activity.

Authors:  M S Buchsbaum; F Rigal; R Coppola; J Cappelletti; C King; J Johnson
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1982-02

8.  Topographic display of evoked potentials: clinical applications of brain electrical activity mapping (BEAM).

Authors:  F H Duffy
Journal:  Ann N Y Acad Sci       Date:  1982       Impact factor: 5.691

9.  Field mapping of EEG by unbiased polynomial interpolation.

Authors:  H Ashida; J Tatsuno; J Okamoto; E Maru
Journal:  Comput Biomed Res       Date:  1984-06

Review 10.  Analysis of the electromagnetic signals of the human brain: milestones, obstacles, and goals.

Authors:  A S Gevins
Journal:  IEEE Trans Biomed Eng       Date:  1984-12       Impact factor: 4.538

  10 in total
  2 in total

1.  A spatial power spectrum analysis of the electroencephalogram.

Authors:  R B Paranjape; Z J Koles; J Lind
Journal:  Brain Topogr       Date:  1990       Impact factor: 3.020

2.  Visualization and modelling of STLmax topographic brain activity maps.

Authors:  Nadia Mammone; José C Principe; Francesco C Morabito; Deng S Shiau; J Chris Sackellares
Journal:  J Neurosci Methods       Date:  2010-04-02       Impact factor: 2.390

  2 in total

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