Evidence map›Paper›PMID 40566902›Full record

ArticleBrain and behavior2025

A New Measure of Mnemonic Discrimination Applicable to Recognition Memory Tests With Continuous Variation in Novel Stimulus Interference.

Simon Léger, Christian Guinard, Selena Singh, Suzanna Becker, Jasmyn E A Cunningham, Martin Alda, Aaron J Newman, Thomas Trappenberg, Abraham Nunes

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Article in Brain and behavior, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Simon LégerDepartment of Psychiatry, Dalhousie University, Halifax, Nova Scotia, Canada.ORCID https://orcid.org/0009-0007-5575-8555
Christian GuinardDepartment of Psychiatry, Dalhousie University, Halifax, Nova Scotia, Canada.
Selena SinghDepartment of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, Ontario, Canada.
Suzanna BeckerDepartment of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, Ontario, Canada.
Jasmyn E A CunninghamDepartment of Psychiatry, Dalhousie University, Halifax, Nova Scotia, Canada.ORCID https://orcid.org/0000-0002-7067-8832
Martin AldaDepartment of Psychiatry, Dalhousie University, Halifax, Nova Scotia, Canada.
Aaron J NewmanDepartment of Psychology and Neuroscience, Dalhousie University, Halifax, Nova Scotia, Canada.
Thomas TrappenbergFaculty of Computer Science, Dalhousie University, Halifax, Nova Scotia, Canada.
Abraham NunesDepartment of Psychiatry, Dalhousie University, Halifax, Nova Scotia, Canada.ORCID https://orcid.org/0000-0002-4955-9150

Funding

Dalhousie Medical Research FoundationFaculty of Medicine, Dalhousie UniversityResearch Nova Scotia RNS-NHIG-2021-1931
6 · The paper itself

Abstract

backgroundMnemonic discrimination (MD) involves distinguishing new stimuli from highly similar memories; it is impaired in the elderly and individuals with neuropsychiatric disorders and may also probe hippocampal dentate gyrus function. Measuring MD is, therefore, highly relevant; however, the gold-standard MD test, the mnemonic similarity task (MST), is rarely used in clinical research. Thus, it would be useful to develop a novel MD index applicable to recognition memory tasks that are commonly used in clinical research. The present study develops such a measure and demonstrates its convergent validity with the gold-standard MD index from the MST.

methodsWe derived participant-level indices of MD (λ) and overall recognition memory performance (Δ) by fitting a logistic function to the relationship between stimulus interference and the probability of classifying a stimulus as novel. We then applied these novel measures to two independent MST datasets (N = 18; N = 67) and to simulated MST data. We used linear mixed-effects model to test whether (1) λ predicts the MST's MD measure, the lure discrimination index (LDI), and (2) Δ predicts the MST's overall recognition memory index (REC).

resultsλ predicted LDI (β = 0.76, 95% CI [0.62, 0.91], p < 0.001) but not REC (β = 0.06, 95% CI [-0.03, 0.15], p = 0.197), while Δ predicted REC (β = 0.93, 95% CI [0.83, 1.02], p < 0.001) but not LDI (β = -0.06, 95% CI [-0.20, 0.09], p = 0.438). The λ and Δ indices were statistically independent, although simulations with synthetic data suggest that MD measurement may be compromised if overall recognition memory performance is impaired.

conclusionWe have developed a novel measure of MD applicable to two-choice recognition memory tasks that use stimuli with continuously varying degrees of similarity. Future studies should further validate this measure using large clinical datasets that include both MD and other recognition memory tasks.

Indexed as

Discrimination LearningMemoryRecognition, PsychologyFemaleHumansLinear ModelsMaleMemory and Learning TestsModels, NeurologicalProbabilityYoung Adultmnemonic discriminationmnemonic similarity taskMSTrecognition memory

Identifiers

PMID40566902
PMCPMC12198479

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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.