Literature DB >> 546453

On the independence of P300 and the CNV: a short critique of the principal components analysis of Donchin et al. (1975).

D G Wastell.   

Abstract

Donchin, Tueting, Ritter, Kutas and Heffley (1975) present evidence from a principal components analysis (PCA) that the CNV and P300 are independent. This short critique points out a number of erros in their PCA and presents a reworking of their analysis. A number of further aspects of Donchin et al.'s paper are also discussed. The general value of this contribution in drawing the attention of EP researchers to potential sources of error in the application of factor analysis is emphasized.

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Year:  1979        PMID: 546453     DOI: 10.1016/0301-0511(79)90037-1

Source DB:  PubMed          Journal:  Biol Psychol        ISSN: 0301-0511            Impact factor:   3.251


  3 in total

1.  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 2.  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

3.  Unsupervised clustering of evoked potentials by waveform.

Authors:  A B Geva; H Pratt
Journal:  Med Biol Eng Comput       Date:  1994-09       Impact factor: 2.602

  3 in total

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