Evidence map›Paper›PMID 37939874›Full record

ArticleNeuropsychologia2023

Examining the diagnostic value of the mnemonic discrimination task for classification of cognitive status and amyloid-beta burden.

Soyun Kim, Jenna N Adams, Miranda G Chappel-Farley, David Keator, John Janecek, Lisa Taylor, Abanoub Mikhail, Martina Hollearn, Liv McMillan, Paul Rapp and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Neuropsychologia, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Amyloid-Beta Deposition in Basal Frontotemporal Cortex Is Associated with Selective Disruption of Temporal Mnemonic Discrimination.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  3. Cognitive modeling of the Mnemonic Similarity Task as a digital biomarker for Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Soyun KimDepartment 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.
Jenna N AdamsDepartment of Neurobiology and Behavior, University of California, Irvine, CA, USA; Center for the Neurobiology of Learning and Memory, University of California, Irvine, CA, USA.
Miranda G Chappel-FarleyDepartment of Neurobiology and Behavior, University of California, Irvine, CA, USA; Center for the Neurobiology of Learning and Memory, University of California, Irvine, CA, USA.
David KeatorDepartment of Psychiatry and Behavioral Sciences, University of California, Irvine, CA, USA.
John JanecekDepartment of Neurobiology and Behavior, University of California, Irvine, CA, USA; Center for the Neurobiology of Learning and Memory, University of California, Irvine, CA, USA.
Lisa TaylorDepartment of Neurobiology and Behavior, University of California, Irvine, CA, USA; Center for the Neurobiology of Learning and Memory, University of California, Irvine, CA, USA.
Abanoub MikhailDepartment of Neurobiology and Behavior, University of California, Irvine, CA, USA; Center for the Neurobiology of Learning and Memory, University of California, Irvine, CA, USA.
Martina HollearnDepartment of Neurobiology and Behavior, University of California, Irvine, CA, USA; Center for the Neurobiology of Learning and Memory, University of California, Irvine, CA, USA.
Liv McMillanDepartment of Neurobiology and Behavior, University of California, Irvine, CA, USA; Center for the Neurobiology of Learning and Memory, University of California, Irvine, CA, USA.
Paul RappDepartment 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.
Michael A YassaDepartment 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.yassa@uci.edu.

Funding

UC Irvine Alzheimer's Disease Research Center Induced Pluripotent Stem Cell CoreP50AG016573 · NIA · UNIVERSITY OF CALIFORNIA-IRVINE · PI LAFERLA, FRANK M · 2000 to 2019
$37.0M
University of California Health Participation in the National COVID Cohort Collaborative (N3C)UL1TR001414 · NCATS · UNIVERSITY OF CALIFORNIA-IRVINE · PI COOPER, DAN M, VILAIN, ERIC J. · 2015 to 2023
$35.1M
Neuroimaging biomarkers for cognitive decline in elderly with amyloid pathologyR01AG053555 · NIA · UNIVERSITY OF CALIFORNIA-IRVINE · PI Michael A Yassa · 2017 to 2026
$17.0M
Training Program in Learning and MemoryT32MH119049 · NIMH · UNIVERSITY OF CALIFORNIA-IRVINE · PI BRUCE L MCNAUGHTON, Manuella Yassa · 2019 to 2026
$1.4M
Effect of hippocampal tau pathology on CA1 function and memory processing in agingF32AG074621 · NIA · UNIVERSITY OF CALIFORNIA-IRVINE · PI ADAMS, JENNA NICOLE · 2021 to 2023
$202k
Neurobiological mechanisms of sleep and exercise effects on memory in older adults at risk for Alzheimer's diseaseF31AG074703 · NIA · UNIVERSITY OF CALIFORNIA-IRVINE · PI CHAPPEL-FARLEY, MIRANDA · 2021 to 2023
$111k
NCATS NIH HHS UL1 TR001414NIA NIH HHS F31 AG074703NIA NIH HHS F32 AG074621NIA NIH HHS P50 AG016573NIA NIH HHS R01 AG053555NIMH NIH HHS T32 MH119049
6 · The paper itself

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 (Aβ) 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 Aβ 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 Aβ status. Our findings suggest that mnemonic discrimination function may be a useful predictor of progression to prodromal AD or increased risk of Aβ load, which could be a cost-efficient, noninvasive cognitive testing solution for potentially wide-scale assessment of AD pathological and cognitive risk.

Indexed as

Alzheimer DiseaseAmyloid beta-PeptidesCognitive DysfunctionMemory, EpisodicCognitionHumansPositron-Emission TomographyAmyloid beta-PeptidesAlzheimer's diseaseAmyloid-beta pathologyMild cognitive impairmentMnemonic discrimination tasksPattern separationRandom forest classification

Identifiers

PMID37939874
PMCPMC10764118

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.