Evidence map›Paper›PMID 39433697›Full record

ArticleMemory & cognition2025

Discrimination of mnemonic similarity is associated with short-term and long-term memory precision.

Weizhen Xie, Tianye Ma, Sanikaa Thakurdesai, Inik Kim, Weiwei Zhang

Abstract read
In one paragraph

Article in Memory & cognition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Expanded taxonomies of human memory.Frontiers in cognition · 2024
    Review
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

5 authors.

Weizhen Xie *Department of Psychology, University of Maryland, College Park, MD, USA. zanexie@umd.edu.ORCID 0000-0003-4655-6496
Tianye Ma *Department of Psychology, University of California, Riverside, CA, USA.
Sanikaa ThakurdesaiDepartment of Psychology, University of Maryland, College Park, MD, USA.
Inik KimDepartment of Psychology, University of California, Riverside, CA, USA.
Weiwei ZhangDepartment of Psychology, University of California, Riverside, CA, USA.

Funding

A Neurocognitive Mechanism for Precision of Visual Working Memory RepresentationsR01MH117132 · NIMH · UNIVERSITY OF CALIFORNIA RIVERSIDE · PI ZHANG, WEIWEI · 2018 to 2022
$1.4M
NIMH NIH HHS R01 MH117132
6 · The paper itself

Abstract

Remembering specific memories with precision relies on the differentiation of similar memory contents - a process commonly referred to as pattern separation and behaviorally operationalized as lure discrimination in the mnemonic similarity task. Although pattern separation is typically investigated in the context of long-term memory (LTM), recent research extends these findings to short-term memory (STM) within a mixture model framework, emphasizing the distinction between memory quality and quantity. According to this framework, pattern separation is associated with memory precision across STM and LTM, regardless of the overall memory likelihood. However, these associations among memory quality measures may persist without the mixture model assumption. In an alternative model, a unitary memory strength measure quantified as a discrimination score (d') may also capture the association between pattern separation and memory quality, as pattern separation has been previously linked with strength-based memory performance. We tested these possibilities based on individual differences among 132 participants who underwent tasks measuring mnemonic pattern separation and STM/LTM quality. We found that behavioral estimates of pattern separation are significantly correlated with STM and LTM precision, irrespective of the likelihood of STM/LTM recall success. However, these associations are absent when considering the correlation between pattern separation and memory strength under a unitary model framework. By leveraging individual differences to constrain our understanding of cognitive models, our data unravel the intricate relationship between pattern separation and memory quality across timescales. These findings may therefore contribute to identifying sensitive behavioral measures for detecting subtle memory deficits in older adults or clinical populations.

Indexed as

Discrimination, PsychologicalMemory, Long-TermMemory, Short-TermMental RecallPattern Recognition, VisualAdultFemaleHumansIndividualityMaleRecognition, PsychologyYoung AdultLong-term memoryMemory precisionPattern separationShort-term memory

Identifiers

PMID39433697
PMCPMC12581949

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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.