Memory rehabilitation during the COVID-19 pandemic
Resumen: Background
Loss of cognitive and executive functions is a problem that affects people of all ages. That is why it is important to perform exercises for memory training and prevent early cognitive deterioration. The aim of this work was to compare the cognitive performance of the participants after an intervention by using two mnemonic techniques to exercise memory functions (paired-associate learning and method of loci).

Methods
A longitudinal study was conducted with 21 healthy participants aged 18 to 55 years over a 2-month period. To assess the impact of this proposal, the NEUROPSI brief battery cognitive assessment test was applied before and after the intervention. In each session, a previous cognitive training was carried out using the paired-associate learning technique, to later perform a task based on the loci method, all from a smart device-based application. The accuracy response and reaction times were automatically collected in the app.

Results
After the intervention, a statistically significant improvement was obtained in the neuropsychological assessment (NEUROPSI neuropsychological battery) reflected by the Wilcoxon paired signed-rank test (P < .05).

Conclusion
The task based on the method of loci also reflected the well-known age-related effects common to memory assessment tasks. Episodic memory training using the method of loci can be successfully implemented using a smart device app. A stage-based methodological design allows to acquire mnemic skills gradually, obtaining a significant cognitive improvement in a short period of time.

Idioma: Inglés
DOI: 10.1186/s12911-023-02294-1
Año: 2023
Publicado en: BMC Medical Informatics and Decision Making 23, 195 (2023), 1-14
ISSN: 1472-6947

Factor impacto JCR: 3.3 (2023)
Categ. JCR: MEDICAL INFORMATICS rank: 19 / 44 = 0.432 (2023) - Q2 - T2
Factor impacto CITESCORE: 7.2 - Computer Science Applications (Q1) - Health Informatics (Q1) - Health Policy (Q1)

Factor impacto SCIMAGO: 1.002 - Computer Science Applications (Q1) - Health Policy (Q1) - Health Informatics (Q1)

Tipo y forma: Artículo (Versión definitiva)
Área (Departamento): Área Tecnología Electrónica (Dpto. Ingeniería Electrón.Com.)

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Exportado de SIDERAL (2024-11-22-11:57:16)


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 Registro creado el 2024-02-19, última modificación el 2024-11-25


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