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Abstract

Background

Episodic memory function in aging varies considerably both across individuals and within individuals over time. Identifying factors that explain variance in memory is important for improving prediction of risk for cognitive decline in older adults. Here we examine associations of structural, functional, and molecular factors with cross‐sectional and longitudinal memory function in a normal aging cohort.

Method

Participants were enrolled in the Stanford Aging and Memory Study (SAMS; N = 212; mean age: 69.5 ± 5.8 years, 57% female) and cognitively unimpaired at baseline. As part of an ongoing longitudinal extension of SAMS, a subset of participants (N = 79) have returned for longitudinal cognitive assessment (mean follow‐up: 7.08 ± 1.14 years). Memory was assessed using a composite score comprised of delayed recall subtests from Logical Memory, Hopkins Verbal Learning Test and the Brief Visual Memory Test. Baseline predictors of interest included Lumipulse CSF pTau181, hippocampus volume from manually segmented T2‐structural MRI, and fMRI measures of neural selectivity and cortical reinstatement measured during associative memory encoding and retrieval, respectively. Linear models and linear mixed effects models examined cross‐sectional and longitudinal associations, respectively, between predictors of interest and memory performance. All models included age, sex, and education as covariates.

Result

All baseline predictors exhibited significant associations with age (p < .005). Among baseline predictors, associations were observed between reinstatement and neural selectivity (β = 0.37, p < .001) and between reinstatement and CSF pTau181 (β = ‐0.20, p < .05). Cross‐sectional effects with the memory composite were observed across both functional measures (neural selectivity: β = 0.20, p < .01; reinstatement: β = 0.20, p < .001). Associations with CSF pTau (p < .001) and hippocampus volume (p < .01) were observed when examining longitudinal change in memory over time. A trend level association between neural selectivity and longitudinal memory performance was also present (p = .07).

Conclusion

Functional, structural, and molecular markers relevant for aging and Alzheimer's disease independently impact memory performance in human aging. Combining these measures may improve the prediction of clinically meaningful decline and elucidate factors that promote cognitive maintenance in older age.

Details

1009240
Title
Multimodal predictors of cross‐sectional and longitudinal memory in a cognitively unimpaired aging cohort
Author
Trelle, Alexandra N. 1 ; Sheng, Jintao 2 ; Tran, Tammy T. 3 ; Wilson, Ted N. 4 ; Sai, Isha 3 ; Romero, America 5 ; Park, Jennifer 1 ; Guerra, Lucah Medina 1 ; Deutsch, Gayle K. 1 ; Wagner, Anthony D. 2 ; Mormino, Elizabeth C. 4 

 Stanford University School of Medicine, Stanford, CA, USA 
 Stanford University, Stanford, CA, USA, Wu Tsai Neuroscience Institute, Stanford, CA, USA 
 Stanford University, Stanford, CA, USA 
 Stanford University School of Medicine, Stanford, CA, USA, Wu Tsai Neuroscience Institute, Stanford, CA, USA 
 University of Oregon, Eugene, OR, USA 
Publication title
Volume
21
Supplement
S8
Number of pages
4
Publication year
2025
Publication date
Dec 1, 2025
Section
BIOMARKERS
Publisher
John Wiley & Sons, Inc.
Place of publication
Chicago
Country of publication
United States
ISSN
1552-5260
e-ISSN
1552-5279
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Online publication date
2025-12-23
Milestone dates
2025-12-23 (publishedOnlineFinalForm)
Publication history
 
 
   First posting date
23 Dec 2025
ProQuest document ID
3286018762
Document URL
https://www.proquest.com/scholarly-journals/multimodal-predictors-cross-sectional/docview/3286018762/se-2?accountid=208611
Copyright
© 2025. This work is published under http://creativecommons.org/licenses/by/4.0/ (the "License"). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2026-01-02
Database
ProQuest One Academic