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Examining the diagnostic value of the mnemonic discrimination task for classification of cognitive status and amyloid-beta burden.
Kim, Soyun; Adams, Jenna N; Chappel-Farley, Miranda G; Keator, David; Janecek, John; Taylor, Lisa; Mikhail, Abanoub; Hollearn, Martina; McMillan, Liv; Rapp, Paul; Yassa, Michael A.
Afiliação
  • Kim S; Department of Neurobiology and Behavior, University of California, Irvine, CA, USA; Center for the Neurobiology of Learning and Memory, University of California, Irvine, CA, USA. Electronic address: soyun.kim@uci.edu.
  • Adams JN; Department of Neurobiology and Behavior, University of California, Irvine, CA, USA; Center for the Neurobiology of Learning and Memory, University of California, Irvine, CA, USA.
  • Chappel-Farley MG; Department of Neurobiology and Behavior, University of California, Irvine, CA, USA; Center for the Neurobiology of Learning and Memory, University of California, Irvine, CA, USA.
  • Keator D; Department of Psychiatry and Behavioral Sciences, University of California, Irvine, CA, USA.
  • Janecek J; Department of Neurobiology and Behavior, University of California, Irvine, CA, USA; Center for the Neurobiology of Learning and Memory, University of California, Irvine, CA, USA.
  • Taylor L; Department of Neurobiology and Behavior, University of California, Irvine, CA, USA; Center for the Neurobiology of Learning and Memory, University of California, Irvine, CA, USA.
  • Mikhail A; Department of Neurobiology and Behavior, University of California, Irvine, CA, USA; Center for the Neurobiology of Learning and Memory, University of California, Irvine, CA, USA.
  • Hollearn M; Department of Neurobiology and Behavior, University of California, Irvine, CA, USA; Center for the Neurobiology of Learning and Memory, University of California, Irvine, CA, USA.
  • McMillan L; Department of Neurobiology and Behavior, University of California, Irvine, CA, USA; Center for the Neurobiology of Learning and Memory, University of California, Irvine, CA, USA.
  • Rapp P; Department of Neurobiology and Behavior, University of California, Irvine, CA, USA; Center for the Neurobiology of Learning and Memory, University of California, Irvine, CA, USA; Department of Military & Emergency Medicine, Uniformed Services University, Bethesda, MD, USA.
  • Yassa MA; Department of Neurobiology and Behavior, University of California, Irvine, CA, USA; Center for the Neurobiology of Learning and Memory, University of California, Irvine, CA, USA; Department of Psychiatry and Behavioral Sciences, University of California, Irvine, CA, USA. Electronic address: michael.
Neuropsychologia ; 191: 108727, 2023 Dec 15.
Article em En | MEDLINE | ID: mdl-37939874
ABSTRACT
Alzheimer's disease (AD) is the most common type of dementia, characterized by early memory impairments and gradual worsening of daily functions. AD-related pathology, such as amyloid-beta (Aß) plaques, begins to accumulate many years before the onset of clinical symptoms. Predicting risk for AD via related pathology is critical as the preclinical stage could serve as a therapeutic time window, allowing for early management of the disease and reducing health and economic costs. Current methods for detecting AD pathology, however, are often expensive and invasive, limiting wide and easy access to a clinical setting. A non-invasive, cost-efficient platform, such as computerized cognitive tests, could be potentially useful to identify at-risk individuals as early as possible. In this study, we examined the diagnostic value of an episodic memory task, the mnemonic discrimination task (MDT), for predicting risk of cognitive impairment or Aß burden. We constructed a random forest classification algorithm, utilizing MDT performance metrics and various neuropsychological test scores as input features, and assessed model performance using area under the curve (AUC). Models based on MDT performance metrics achieved classification results with an AUC of 0.83 for cognitive status and an AUC of 0.64 for Aß status. Our findings suggest that mnemonic discrimination function may be a useful predictor of progression to prodromal AD or increased risk of Aß load, which could be a cost-efficient, noninvasive cognitive testing solution for potentially wide-scale assessment of AD pathological and cognitive risk.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Peptídeos beta-Amiloides / Doença de Alzheimer / Memória Episódica / Disfunção Cognitiva Limite: Humans Idioma: En Revista: Neuropsychologia Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Peptídeos beta-Amiloides / Doença de Alzheimer / Memória Episódica / Disfunção Cognitiva Limite: Humans Idioma: En Revista: Neuropsychologia Ano de publicação: 2023 Tipo de documento: Article