The dimensionality of the human visual evoked scalp potential.

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.

[1]  F. Offner,et al.  The EEG as potential mapping: the value of the average monopolar reference. , 1950, Electroencephalography and clinical neurophysiology.

[2]  E. John,et al.  EXPERIMENTAL BACKGROUND: SIGNAL ANALYSIS AND BEHAVIORAL CORRELATES OF EVOKED POTENTIAL CONFIGURATIONS IN CATS * , 1964, Annals of the New York Academy of Sciences.

[3]  J. G. Skellam,et al.  Multivariate Statistical Analysis for Biologists , 1965 .

[4]  L. E. Larsen,et al.  An analysis of the intercorrelations among spectral amplitudes in the EEG: a generator study. , 1969, IEEE transactions on bio-medical engineering.

[5]  A. Van Rotterdam,et al.  Limitations and Difficulties in Signal Processing by Means of the Principal-Components Analysis , 1970 .

[6]  M. Defayolle,et al.  [Application of factor analysis to the study of EEG structure]. , 1974, Electroencephalography and Clinical Neurophysiology.

[7]  E R John,et al.  Factor analysis of evoked potentials. , 1973, Electroencephalography and clinical neurophysiology.

[8]  Cady Ld.  Computed relationship of standard electrocardiographic leads. , 1969 .

[9]  E. Donchin,et al.  A multivariate approach to the analysis of average evoked potentials. , 1966, IEEE transactions on bio-medical engineering.

[10]  D S RUCHKIN,et al.  AN ANALYSIS OF AVERAGE EVOKED POTENTIALS MAKING USE OF LEAST MEAN SQUARE TECHNIQUES * , 1964, Annals of the New York Academy of Sciences.

[11]  W. R. Adey,et al.  ANALYSIS OF BRAIN-WAVE GENERATORS AS MULTIPLE STATISTICAL TIME SERIES. , 1965, IEEE transactions on bio-medical engineering.

[12]  C M Suter,et al.  Principal component analysis of average evoked potentials. , 1970, Experimental neurology.

[13]  A. C. Young,et al.  Factor Analysis of the Electrocardiogram: Test of Electrocardiographic Theory Normal Hearts , 1960, Circulation research.

[14]  Emanuel Donchin,et al.  Data analysis techniques in average evoked potential research. , 1969 .

[15]  D. F. Morrison,et al.  Multivariate Statistical Methods , 1968 .