Source:http://linkedlifedata.com/resource/pubmed/id/10731766
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Predicate | Object |
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rdf:type | |
lifeskim:mentions | |
pubmed:issue |
2
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pubmed:dateCreated |
2000-4-25
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pubmed:abstractText |
This study investigated the validity of procedures for estimating the P3 complex in single trials. In "pseudo-real" simulations of the N1-P2 complex of the occipital visual-evoked potential, Möcks, Köhler, Gasser, and Pham (1988) had reported that their maximum-likelihood method (Pham, Möcks, Köhler, & Gasser, 1987) performed better than Woody's (1967) method. Using pseudo-real simulations of auditory oddball data, we wanted to know whether this finding also held true for the P3 complex. The performance of three methods was studied: peak picking, Woody's method, and Pham et al.'s method (as well as an extension of this latter method). Performance of all methods critically depended on the signal-to-noise ratio. There was some advantage for the more sophisticated methods, particularly when signal-to-noise ratios were realistic. "Good" trials may be selected by all methods, to improve the signal-to-noise ratio, but this selection entails the risk of bias. Further research should investigate whether these conclusions also hold true when the P3 complex consists of more than one component.
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pubmed:language |
eng
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pubmed:journal | |
pubmed:citationSubset |
IM
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pubmed:status |
MEDLINE
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pubmed:month |
Mar
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pubmed:issn |
0048-5772
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pubmed:author | |
pubmed:issnType |
Print
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pubmed:volume |
37
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
153-62
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pubmed:dateRevised |
2009-11-11
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pubmed:meshHeading |
pubmed-meshheading:10731766-Algorithms,
pubmed-meshheading:10731766-Computer Simulation,
pubmed-meshheading:10731766-Data Interpretation, Statistical,
pubmed-meshheading:10731766-Electroencephalography,
pubmed-meshheading:10731766-Evoked Potentials,
pubmed-meshheading:10731766-Humans,
pubmed-meshheading:10731766-Research Design
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pubmed:year |
2000
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pubmed:articleTitle |
An evaluation of methods for single-trial estimation of P3 latency.
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pubmed:affiliation |
Department of Neurology, Medical University of Lübeck, Germany. jaskowski_p@neuro.mu-luebeck.de
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pubmed:publicationType |
Journal Article,
Research Support, Non-U.S. Gov't
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