Literature DB >> 57049

The dimensionality of the human visual evoked scalp potential.

R N Kavanagh, T M Darcey, D H Fender.   

Abstract

A small number of processes can account for most of the evoked potentials activity in the two subjects studied. Principal components analysis indicates that six independent processes can account for approximately 97% of the variability in the data. Moreover, the factor analysis and plots of the factor coefficients yield indications that the times during which these principal factors are active agree quite well with the times at which the equipotential maps show some organized activity. The question of dipoles being the underlying cause of the observed activity is not answered by the factor analysis. The principal factors are not unique, but models which have a small number of parameters are more justifiable in light of the results of this study.

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Year:  1976        PMID: 57049     DOI: 10.1016/0013-4694(76)90138-3

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


  9 in total

1.  Measurement processes and spatial principal components analysis.

Authors:  R B Silberstein; P J Cadusch
Journal:  Brain Topogr       Date:  1992       Impact factor: 3.020

2.  Unrestricted principal components analysis of brain electrical activity: issues of data dimensionality, artifact, and utility.

Authors:  F H Duffy; K Jones; P Bartels; G McAnulty; M Albert
Journal:  Brain Topogr       Date:  1992       Impact factor: 3.020

Review 3.  Quantified neurophysiology with mapping: statistical inference, exploratory and confirmatory data analysis.

Authors:  F H Duffy; K Jones; P Bartels; M Albert; G B McAnulty; H Als
Journal:  Brain Topogr       Date:  1990       Impact factor: 3.020

4.  Evaluation of PCA and ICA of simulated ERPs: Promax vs. Infomax rotations.

Authors:  Joseph Dien; Wayne Khoe; George R Mangun
Journal:  Hum Brain Mapp       Date:  2007-08       Impact factor: 5.038

5.  The usefulness of the Laplacian in principal component analysis and dipole source localization.

Authors:  S A Klein; T Carney
Journal:  Brain Topogr       Date:  1995       Impact factor: 3.020

6.  Model misspecification detection by means of multiple generator errors, using the observed potential map.

Authors:  Z Zhang; D L Jewett
Journal:  Brain Topogr       Date:  1994       Impact factor: 3.020

7.  Standardized varimax descriptors of event related potentials: basic considerations.

Authors:  E R John; P Easton; L S Prichep; J Friedman
Journal:  Brain Topogr       Date:  1993       Impact factor: 3.020

8.  Insidious errors in dipole parameters due to shell model misspecification using multiple time-points.

Authors:  Z Zhang; D L Jewett; G Goodwill
Journal:  Brain Topogr       Date:  1994       Impact factor: 3.020

9.  Equivalent dipole estimation of spontaneous EEG alpha activity: two-moving dipole approach.

Authors:  B He; T Musha
Journal:  Med Biol Eng Comput       Date:  1992-05       Impact factor: 2.602

  9 in total

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