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dc.contributor.author
Parra, Mario A.  
dc.contributor.author
Ascencio, Lindsay Lorena  
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Urquina, Hugo Fenando  
dc.contributor.author
Manes, Facundo Francisco  
dc.contributor.author
Ibañez, Agustin Mariano  
dc.date.available
2023-05-29T14:23:31Z  
dc.date.issued
2012-11  
dc.identifier.citation
Parra, Mario A.; Ascencio, Lindsay Lorena; Urquina, Hugo Fenando; Manes, Facundo Francisco; Ibañez, Agustin Mariano; P300 and neuropsychological assessment in mild cognitive impairment and alzheimer dementia; Frontiers Media; Frontiers in Neurology; 3; 11-2012; 172-195  
dc.identifier.issn
1664-2295  
dc.identifier.uri
http://hdl.handle.net/11336/198786  
dc.description.abstract
Only a small proportion of individuals with Mild Cognitive Impairment (MCI) will convert to dementia. Methods currently available to identify risk for conversion do not combine enough sensitivity and specificity, which is even more problematic in low-educated populations. Current guidelines suggest the use of combined markers for dementia to enhance the prediction accuracy of assessment methods. The present study adhered to this proposal and investigated the sensitivity and specificity of the electrophysiological component P300 and standard neuropsychological tests to assess patients with Alzheimer?s disease (AD) and MCI recruited from a low-income country. The neuropsychological battery comprised tests of memory, attention, language, praxis and executive functions. The P300 was recorded using a classical visual odd-ball paradigm. Three variables were found to achieve sensitivity and specificity values above 80% (Immediate and Delayed recall of word list ? CERAD ? and the latency of P300) for both MCI and AD. When they entered the model together (i.e., combined approach) the sensitivity for MCI increased to 96% and the specificity remained high (80%). Our preliminary findings suggest that the combined use of sensitive neuropsychological tasks and the analysis of the P300 may offer a very useful method for the preclinical assessment of AD, particularly in populations with low socioeconomic and educational levels. Our results provide a platform and justification to employ more resources to convert P300 and related parameters into a biological marker for AD.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Frontiers Media  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
ALZHEIMER'S DISEASE  
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EARLY DETECTION  
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EVENT RELATED POTENTIALS  
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MILD COGNITIVE IMPAIRMENT  
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NEUROPSYCHOLOGY  
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P300  
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PRECLINICAL MARKERS  
dc.subject.classification
Otras Ciencias de la Salud  
dc.subject.classification
Ciencias de la Salud  
dc.subject.classification
CIENCIAS MÉDICAS Y DE LA SALUD  
dc.title
P300 and neuropsychological assessment in mild cognitive impairment and alzheimer dementia  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2023-05-24T14:23:35Z  
dc.journal.volume
3  
dc.journal.pagination
172-195  
dc.journal.pais
Estados Unidos  
dc.description.fil
Fil: Parra, Mario A.. University of Edinburgh; Reino Unido  
dc.description.fil
Fil: Ascencio, Lindsay Lorena. Surcolombiana University; Colombia  
dc.description.fil
Fil: Urquina, Hugo Fenando. Universidad Favaloro; Argentina. Surcolombiana University; Colombia  
dc.description.fil
Fil: Manes, Facundo Francisco. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Favaloro; Argentina  
dc.description.fil
Fil: Ibañez, Agustin Mariano. Universidad Favaloro; Argentina. Universidad Diego Portales; Chile. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina  
dc.journal.title
Frontiers in Neurology  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://www.frontiersin.org/Dementia/10.3389/fneur.2012.00172/abstract  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.3389/fneur.2012.00172