Neuropsychological profile in the preclinical stages of dementia principal component analysis approach
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| Format: | Artículo científico |
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Associação Neurologia Cognitiva e do Comportamento
2021
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| author | Claudia Rivera-Fernández |
| author_facet | Claudia Rivera-Fernández |
| contents | Neuropsychological profile in the preclinical stages of dementia principal component analysis approach Claudia Rivera-Fernández Nilton Custodio Marcio Soto-Añari Medicina neuropsychology cognitive dysfunction mild cognitive impairment principal component analysis subjective cognitive decline 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. 2021 artículo científico 1980-5764 https://www.redalyc.org/articulo.oa?id=339581528005 en http://www.redalyc.org/revista.oa?id=3395 Dementia & Neuropsychologia application/pdf Associação Neurologia Cognitiva e do Comportamento Dementia & Neuropsychologia (Brasil) Num.2 Vol.15 |
| format | Artículo científico |
| id | redalyc_339581528005 |
| institution | Redalyc |
| language | en |
| publishDate | 2021 |
| publisher | Associação Neurologia Cognitiva e do Comportamento |
| spellingShingle | Neuropsychological profile in the preclinical stages of dementia principal component analysis approach Claudia Rivera-Fernández Medicina neuropsychology cognitive dysfunction mild cognitive impairment principal component analysis subjective cognitive decline Neuropsychological profile in the preclinical stages of dementia principal component analysis approach Claudia Rivera-Fernández Nilton Custodio Marcio Soto-Añari Medicina neuropsychology cognitive dysfunction mild cognitive impairment principal component analysis subjective cognitive decline 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. 2021 artículo científico 1980-5764 https://www.redalyc.org/articulo.oa?id=339581528005 en http://www.redalyc.org/revista.oa?id=3395 Dementia & Neuropsychologia application/pdf Associação Neurologia Cognitiva e do Comportamento Dementia & Neuropsychologia (Brasil) Num.2 Vol.15 |
| title | Neuropsychological profile in the preclinical stages of dementia principal component analysis approach |
| topic | Medicina neuropsychology cognitive dysfunction mild cognitive impairment principal component analysis subjective cognitive decline |
| url | https://www.redalyc.org/articulo.oa?id=339581528005 |