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Computer-based cognitive tests and cerebral pathology among Japanese older adults

BACKGROUND: This study aimed to identify the appropriate computer-based cognitive tests and cut-off values for estimating amyloid burden in preclinical Alzheimer’s disease drug trials. METHODS: Data from 103 older individuals, who underwent (18)F-florbetapir positron emission tomography and cognitiv...

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Detalles Bibliográficos
Autores principales: Shimada, Hiroyuki, Makino, Keitaro, Kato, Takashi, Ito, Kengo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10084669/
https://www.ncbi.nlm.nih.gov/pubmed/37038102
http://dx.doi.org/10.1186/s12877-023-03918-x
Descripción
Sumario:BACKGROUND: This study aimed to identify the appropriate computer-based cognitive tests and cut-off values for estimating amyloid burden in preclinical Alzheimer’s disease drug trials. METHODS: Data from 103 older individuals, who underwent (18)F-florbetapir positron emission tomography and cognitive testing, were analyzed. Cognitive tests evaluated word list memory (immediate recognition and delayed recall), attention (Trail Making Test-part A), executive function (Trail Making Test-Part B), and processing speed (Digit Symbol Substitution Test [DSST]). RESULTS: The Aβ burden was significantly associated with word list memory (odds ratio [OR] = 0.42, 95% confidence interval [CI], 0.19–0.91) and DSST (OR = 0.35; 95% CI, 0.14–0.85). Positive predictive value and number needed to screen at a cut-off of 1.5 SD were better for word list memory and DSST among predictive values. CONCLUSIONS: The computer-based memory and processing speed tests have the potential to reduce failure rates while screening individuals with Aβ accumulation in community settings.