Literature DB >> 8829392

Projection onto centroids difference vectors: a new approach to determine between group topographical differences, applied to P3 amplitude in schizophrenia.

A R Haig1, E Gordon.   

Abstract

A common problem in electrophysiological research concerns between group analysis of EEG and ERP topography. This paper proposes a new technique for determining whether or not a significant difference exists between multiple scalp site measurements from two groups. The method requires no a priori assumptions about the data and is thus ideal for exploratory data analysis, and it also requires that only one statistical test need be performed (significantly reducing the possibility of type I errors). The Projection onto Centroids Difference Vectors (PCDV) method involves deriving a measure from each individual of whether their measurements across sites are closer overall to the mean measurements of the rest of their experimental group, or to the other group. These measures from each individual are then compared between groups using a Student's t test, which indicates whether one group's data is significantly spatially different from the other. In this study we describe the method in detail and apply it to both stimulated data and to real auditory P3 data in unmedicated, medicated schizophrenics and matched normal controls. The PCDV method was also compared with statistical probability mapping (SPM). The PCDV method revealed the differences between the normal and patient groups more unambiguously than SPM, and the simulated data revealed that it was not liable to type I errors. PCDV provides an appropriate method for testing any between group EEG and ERP topographical differences.

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Year:  1995        PMID: 8829392     DOI: 10.1007/bf01187671

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


  9 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

2.  Classification of single-trial ERP sub-types: application of globally optimal vector quantization using simulated annealing.

Authors:  A R Haig; E Gordon; G Rogers; J Anderson
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1995-04

3.  P3 in schizophrenia is affected by stimulus modality, response requirements, medication status, and negative symptoms.

Authors:  A Pfefferbaum; J M Ford; P M White; W T Roth
Journal:  Arch Gen Psychiatry       Date:  1989-11

4.  Statistical issues concerning computerized analysis of brainwave topography.

Authors:  B S Oken; K H Chiappa
Journal:  Ann Neurol       Date:  1986-05       Impact factor: 10.422

5.  Measurement of maximum variability within event related potentials in schizophrenia.

Authors:  J Anderson; C Rennie; E Gordon; A Howson; R Meares
Journal:  Psychiatry Res       Date:  1991-10       Impact factor: 3.222

6.  An electrode cap tested.

Authors:  J L Blom; M Anneveldt
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1982-11

7.  Mathematical models of the event-related potential.

Authors:  E Hunt
Journal:  Psychophysiology       Date:  1985-07       Impact factor: 4.016

8.  Significance probability mapping: an aid in the topographic analysis of brain electrical activity.

Authors:  F H Duffy; P H Bartels; J L Burchfiel
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1981-05

9.  Altered P300 topography in schizophrenia.

Authors:  R Morstyn; F H Duffy; R W McCarley
Journal:  Arch Gen Psychiatry       Date:  1983-07
  9 in total

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