Cited by 364EEG and Brain-Computer InterfacesECG Monitoring and AnalysisNeural dynamics and brain function

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Spatial patterns underlying population differences in the background EEG

Koles, Zoltan J., Lazar, Michael S., Zhou, Steven Z.·1990·Brain Topography

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Abstract

A method is described which can be used to extract common spatial patterns underlying the EEGs from two human populations. These spatial patterns account, in the least-squares sense, maximally for the variance in the EEGs from one population and minimally for the variance in the other population and therefore would seem to be optimal for quantitatively discriminating between the individual EEGs in the two populations. By using this method, it is suggested that the problems associated with the more common approach to discriminating EEGs, significance probability mapping, can be avoided. The method is tested using EEGs from a population of normal subjects and using the EEGs from a population of patients with neurologic disorders. The results in most cases are excellent and the misclassification which occurs in some cases is attributed to the nonhomogeneity of the patient population particularly. The advantages of the method for feature selection, for automatically classifying the clinical EEG, and with respect to the reference-free nature of the selected features are discussed.

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Authors: Koles, Z. J., Lazar, M. S., & Zhou, S. Z.
Affiliations: University of Alberta (CA)
Venue: Brain Topography
Publisher: Springer Science and Business Media LLC
Published: 1990
Volume: 2
Issue: 4
Pages: 275-284
ISSN: 0896-0267 (ISSN-L)
1573-6792
DOI: 10.1007/bf01129656
OpenAlex: W2082070408
Cited by: 364
References: 12
Citations by year: 2026: 9 · 2025: 34 · 2024: 33 · 2023: 32 · 2022: 33 · 2021: 27 · 2020: 29 · 2019: 26 · 2018: 24 · 2017: 20 · 2016: 17 · 2015: 10 · 2014: 15 · 2013: 5 · 2012: 9
FWCI: 0.23
Type: journal article
Language: en
Open access: closed
Licence: www.springer.com/tdm (tdm)
Locations: Brain Topography (publishedVersion)
PubMed (publishedVersion)
Topics: Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › ECG Monitoring and Analysis
Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
Keywords: common spatial pattern, EEG classification, population differences, EEG background activity, feature selection, neurological disorders, misclassification
MeSH terms: Adolescent, Adult, Analysis of Variance, Brain, Brain Diseases, Brain Mapping, Electrodes, Electroencephalography, Female, Humans, Male, Middle Aged, Reference Values

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Spatial patterns underlying population differences in the background EEG

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