Neuropsychological profile in the preclinical stages of dementia: Principal component analysis approach

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The preclinical stages of dementia include subtle neurocognitive changes that are not easily detected in standard clinical evaluations. Neuropsychological evaluation is important for the classification and prediction of deterioration in all the phases of dementia. Objective: Compare the neuropsychol...

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Detalles Bibliográficos
Autor: Rivera Fernandez, Claudia Mercedes
Formato: tesis de grado
Fecha de Publicación:2021
Institución:Universidad Nacional de San Agustín
Repositorio:UNSA-Institucional
Lenguaje:español
OAI Identifier:oai:repositorio.unsa.edu.pe:20.500.12773/12563
Enlace del recurso:http://hdl.handle.net/20.500.12773/12563
Nivel de acceso:acceso abierto
Materia:cognitive dysfunction
subjective cognitive decline
principal component analysis
neuropsychology
mild cognitive impairment
https://purl.org/pe-repo/ocde/ford#3.01.04
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dc.title.es_PE.fl_str_mv Neuropsychological profile in the preclinical stages of dementia: Principal component analysis approach
title Neuropsychological profile in the preclinical stages of dementia: Principal component analysis approach
spellingShingle Neuropsychological profile in the preclinical stages of dementia: Principal component analysis approach
Rivera Fernandez, Claudia Mercedes
cognitive dysfunction
subjective cognitive decline
principal component analysis
neuropsychology
mild cognitive impairment
https://purl.org/pe-repo/ocde/ford#3.01.04
title_short Neuropsychological profile in the preclinical stages of dementia: Principal component analysis approach
title_full Neuropsychological profile in the preclinical stages of dementia: Principal component analysis approach
title_fullStr Neuropsychological profile in the preclinical stages of dementia: Principal component analysis approach
title_full_unstemmed Neuropsychological profile in the preclinical stages of dementia: Principal component analysis approach
title_sort Neuropsychological profile in the preclinical stages of dementia: Principal component analysis approach
author Rivera Fernandez, Claudia Mercedes
author_facet Rivera Fernandez, Claudia Mercedes
author_role author
dc.contributor.advisor.fl_str_mv Soto Añari, Marcio Fernando
dc.contributor.author.fl_str_mv Rivera Fernandez, Claudia Mercedes
dc.subject.es_PE.fl_str_mv cognitive dysfunction
subjective cognitive decline
principal component analysis
neuropsychology
mild cognitive impairment
topic cognitive dysfunction
subjective cognitive decline
principal component analysis
neuropsychology
mild cognitive impairment
https://purl.org/pe-repo/ocde/ford#3.01.04
dc.subject.ocde.es_PE.fl_str_mv https://purl.org/pe-repo/ocde/ford#3.01.04
description The preclinical stages of dementia include subtle neurocognitive changes that are not easily detected in standard clinical evaluations. Neuropsychological evaluation is important for the classification and prediction of deterioration in all the phases of dementia. Objective: Compare the neuropsychological performance in healthy older adults with subjective cognitive decline (SCD) and with mild cognitive impairment (MCI) using principal components analysis. Methods: We evaluated 94 older adults with a clinical protocol which included general measures of mental, emotional and functional state. The neuropsychological protocol included tasks of memory, executive function, attention, verbal fluency and visuoconstructional abilities. We used principal component analysis (PCA) to reduce variables´ dimensionality on neuropsychological evaluation. Results: 33(35%) participants had a normal cognitive function, 35(37%) had subjective cognitive decline and 26(28%) had a mild cognitive impairment. The PCA showed seven factors: processing speed, memory, visuoconstruction, verbal fluency and executive components of cognitive flexibility, inhibitory control and working memory. ANOVA had shown significant differences between the groups in the memory (F=4.383, p=0.016, η2p=0.087) and visuoconstructional components (F=5.395, p=0.006, η2p=0.105). Post hoc analysis revealed lower memory scores in MCI than SCD participants and in visuospatial abilities between MCI and SCD and MCI and Normal participants. Conclusions: We observed differentiated cognitive profiles among the participants in memory and visuoconstruction components. The use of PCA in the neuropsychological evaluation could help to make a differentiation of cognitive abilities in preclinical stages of dementia.
publishDate 2021
dc.date.accessioned.none.fl_str_mv 2021-07-19T15:32:02Z
dc.date.available.none.fl_str_mv 2021-07-19T15:32:02Z
dc.date.issued.fl_str_mv 2021
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url http://hdl.handle.net/20.500.12773/12563
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language spa
dc.relation.ispartof.fl_str_mv SUNEDU
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eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/4.0/
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dc.publisher.es_PE.fl_str_mv Universidad Nacional de San Agustín de Arequipa
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dc.source.es_PE.fl_str_mv Universidad Nacional de San Agustín de Arequipa
Repositorio Institucional - UNSA
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spelling Soto Añari, Marcio FernandoRivera Fernandez, Claudia Mercedes2021-07-19T15:32:02Z2021-07-19T15:32:02Z2021The preclinical stages of dementia include subtle neurocognitive changes that are not easily detected in standard clinical evaluations. Neuropsychological evaluation is important for the classification and prediction of deterioration in all the phases of dementia. Objective: Compare the neuropsychological performance in healthy older adults with subjective cognitive decline (SCD) and with mild cognitive impairment (MCI) using principal components analysis. Methods: We evaluated 94 older adults with a clinical protocol which included general measures of mental, emotional and functional state. The neuropsychological protocol included tasks of memory, executive function, attention, verbal fluency and visuoconstructional abilities. We used principal component analysis (PCA) to reduce variables´ dimensionality on neuropsychological evaluation. Results: 33(35%) participants had a normal cognitive function, 35(37%) had subjective cognitive decline and 26(28%) had a mild cognitive impairment. The PCA showed seven factors: processing speed, memory, visuoconstruction, verbal fluency and executive components of cognitive flexibility, inhibitory control and working memory. ANOVA had shown significant differences between the groups in the memory (F=4.383, p=0.016, η2p=0.087) and visuoconstructional components (F=5.395, p=0.006, η2p=0.105). Post hoc analysis revealed lower memory scores in MCI than SCD participants and in visuospatial abilities between MCI and SCD and MCI and Normal participants. Conclusions: We observed differentiated cognitive profiles among the participants in memory and visuoconstruction components. 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