Mnemonic Similarity Task Reveals Feasibility and Insights into Memory Performance in Older Adults

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Veröffentlicht in:Alzheimer's & Dementia vol. 21 (Dec 1, 2025)
1. Verfasser: Farahmand, Ghasem
Weitere Verfasser: Nguyen, Katelynn M., Gouron, Sam T, Cheung, Joshua K, Stark, Craig EL, Sajjadi, Seyed Ahmad
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John Wiley & Sons, Inc.
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022 |a 1552-5260 
022 |a 1552-5279 
024 7 |a 10.1002/alz70857_107175  |2 doi 
035 |a 3286912942 
045 0 |b d20251201 
100 1 |a Farahmand, Ghasem  |u University of California, Irvine, Irvine, CA, USA, 
245 1 |a Mnemonic Similarity Task Reveals Feasibility and Insights into Memory Performance in Older Adults 
260 |b John Wiley & Sons, Inc.  |c Dec 1, 2025 
513 |a Journal Article 
520 3 |a Background The Mnemonic Similarity Task (MST) is a behavioral tool designed to tax pattern separation, a critical hippocampal function involving the transformation of similar experiences into discrete, non‐overlapping memory representations. Our pilot study aimed to assess the feasibility of MST administration among the oldest old, individuals 80 years and older, explore the association of MST performance metrics with established global cognitive measures, and evaluate potential age effects. Methods Thirty‐one participants aged 80 years and older from the UCI Alzheimer's Disease Research Center (ADRC) and the 90+ Study underwent MST as part of their cognitive assessment. Participants categorized 64 images as “indoor” or “outdoor” during the encoding phase and later classified 96 images as “old,” “similar,” or “new” in a recognition phase. Images were categorized as targets (old), lures (similar), or foils (novel). Key outcome measures included recognition memory (REC) and the lure discrimination index (LDI). Linear regression analyses were conducted to evaluate the associations between MST scores, age, and cognitive measures, i.e. the Mini‐Mental State Examination (MMSE). Results Mean age was 92.7± 5.6 and 61.3% were female (Table 1). MST was successfully completed by all participants. Regression analyses revealed no significant association between MST scores and age (REC: p =  0.12; LDI: p =  0.09) (Table 2). A significant positive correlation was identified between MMSE and REC scores (β = 0.36, p =  0.02). No significant association was found between MMSE and LDI (β = 0.15, p =  0.28). Scatterplots indicated variability in individual MST scores with no discernible age‐related decline. (Figure 1) Conclusion The MST is a feasible and effective task for assessing pattern separation and recognition memory in the oldest old. The observed association between MMSE and REC, but not LDI, deserves further investigation. The direct relationship between REC and MMSE underscores the utility of MST as a cognitive assessment tool. Further research with expanded cognitive measures and imaging biomarkers is warranted to elucidate the underlying mechanisms driving MST performance and its role as a digital biomarker for cognitive health. 
653 |a Associative processes 
653 |a Imagery 
653 |a Age 
653 |a Regression analysis 
653 |a Memory 
653 |a Discrimination 
653 |a Encoding (Cognitive process) 
653 |a Pilot projects 
653 |a Recognition 
653 |a Older people 
653 |a Age differences 
653 |a Cognition 
653 |a Mini-Mental State Examination 
653 |a Acknowledgment 
653 |a Recognition memory 
653 |a Statistical analysis 
653 |a Age effects 
653 |a Transformation 
653 |a Feasibility 
653 |a Encoding 
653 |a Adults 
653 |a Mental health 
653 |a Biological markers 
653 |a Biomarkers 
653 |a Very old 
653 |a Alzheimer's disease 
653 |a Evaluation 
700 1 |a Nguyen, Katelynn M.  |u University of California, Irvine, Irvine, CA, USA, 
700 1 |a Gouron, Sam T  |u University of California, Irvine, Irvine, CA, USA, 
700 1 |a Cheung, Joshua K  |u University of California, Irvine, Irvine, CA, USA, 
700 1 |a Stark, Craig EL  |u Department of Neurobiology and Behavior, University of California, Irvine, Irvine, CA, USA, 
700 1 |a Sajjadi, Seyed Ahmad  |u University of California, Irvine, Irvine, CA, USA, 
773 0 |t Alzheimer's & Dementia  |g vol. 21 (Dec 1, 2025) 
786 0 |d ProQuest  |t Consumer Health Database 
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