Medicine and Health

Detection of cerebrospinal fluid biomarkers changes of Alzheimer's disease using a cognitive stress test in persons with subjective cognitive decline and mild cognitive impairment

M. Valles-salgado, M. J. Gil-moreno, et al.

This intriguing study highlights the significant association between LASSI-L scores and CSF biomarkers in patients with subjective cognitive decline and amnestic mild cognitive impairment. Conducted by an expert group of researchers, the findings bolster the use of LASSI-L as a tool to detect early Alzheimer's disease with impressive accuracy.

00:00

Playback language: English

Index

Abstract

This study investigated the relationship between the Loewenstein-Acevedo Scales for Semantic Interference and Learning (LASSI-L) scores and cerebrospinal fluid (CSF) biomarkers in patients with subjective cognitive decline (SCD) and amnestic mild cognitive impairment (MCI). 179 patients underwent neuropsychological assessment, LASSI-L, and CSF biomarker analysis (Aβ1-42/Aβ1-40 and ptau181). LASSI-L scores, particularly those reflecting recovery from semantic interference and delayed recall, were significantly associated with CSF biomarkers. A logistic regression model incorporating LASSI-L scores and age achieved 74.9% accuracy in detecting abnormal amyloid deposition. The study supports the biological validity of LASSI-L in detecting early Alzheimer's disease.

Publisher

Frontiers in Psychology

Published On

Authors

Maria Valles-Salgado, María José Gil-Moreno, Rosie E. Curiel Cid, Alfonso Delgado-Álvarez, Isabel Ortega-Madueño, Cristina Delgado-Alonso, Marta Palacios-Sarmiento, Juan I. López-Carbonero, María Cruz Cárdenas, Jorge Matías-Guiu, María Díez-Cirarda, David A. Loewenstein, Jordi A. Matias-Guiu

Related Publications

Explore these studies to deepen your understanding of the subject.

Biology

The Synergic Effect of AT(N) Profiles and Depression on the Risk of Conversion to Dementia in Patients with Mild Cognitive Impairment

M. Marquié, F. García-gutiérrez, et al.

Medicine and Health

A multimodal deep learning approach for the prediction of cognitive decline and its effectiveness in clinical trials for Alzheimer’s disease

C. Wang, H. Tachimori, et al.

Medicine and Health

Determinants of weight, psychological status, food contemplation and lifestyle changes in patients with obesity during the COVID-19 lockdown: a nationwide survey using multiple correspondence analysis

A. Caretto, S. Pintus, et al.

Medicine and Health

Risk factors for and pregnancy outcomes after SARS-CoV-2 in pregnancy according to disease severity: A nationwide cohort study with validation of the SARS-CoV-2 diagnosis of Nordic Federation of Societies of Obstetrics and Gynecology (NFOG)

A. J. M. Aabakke, T. G. Petersen, et al.

Listen, Learn & Level Up

Over 10,000 hours of research content in 25+ fields, available in 12+ languages.

No more digging through PDFs, just hit play and absorb the world's latest research in your language, on your time.

listen to research audio papers with researchbunny