The dimensionality of the human visual evoked scalp potential

A small number of processes can account for most of the evoked potential 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 facto...

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Veröffentlicht in:Electroencephalography and clinical neurophysiology 1976-06, Vol.40 (6), p.633-644
Hauptverfasser: Kavanagh, Robert N, Darcey, Terrance M, Fender, Derek H
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container_title Electroencephalography and clinical neurophysiology
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creator Kavanagh, Robert N
Darcey, Terrance M
Fender, Derek H
description A small number of processes can account for most of the evoked potential 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. Un petit nombre des processus peut expliquer la plupart de l'activité potentielle évoquée chez les deux sujets étudiés. L'analyse en composantes principales indique que six processus indépendants peuvent expliquer approximativement 97% de la variabilité dans les données. De plus, l'analyse factorielle et les tracées des coefficients factoriels indiquent que les temps durant lesquels ces factuers principaux sont actifs s'accordent assez bien avec les temps pendant lesquels les cartes équipotentielles montrent une certaine activité organisée. La question des dipoles étant la cause fondamentale de l'activité observée n'est pas résolue par l'analyse factorielle. Les facteurs principaux ne sont pas uniques, mais des modèles qui ont un petit nombre des paramètres sont plus justifiables par suite des résultats de cette étude.
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subjects Brain - physiology
Electroencephalography - methods
Electronics, Medical
Evoked Potentials
Factor Analysis, Statistical
Humans
Models, Neurological
Space life sciences
Time Factors
Visual Perception - physiology
title The dimensionality of the human visual evoked scalp potential
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