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March 23, 2026GeroScience0 citationsOpen Access

Modeling and evaluating longitudinal brain maintenance and cognitive reserve using episodic memory, brain structure, and functional connectivity in older adults

RMRachel M. MorseLVLídia Vaqué-AlcázarMCMaría Cabello-Toscano

Key Points

  • The central aim is to derive measures of cognitive reserve and brain maintenance, examining their relationship with educational background and functional connectivity.
  • Analyzed longitudinal data from 451 participants over an average of 4.2 years.
  • Modeled brain maintenance as memory stability relative to hippocampal stability and cognitive reserve as better-than-expected memory stability despite hippocampal atrophy.
  • Used linear mixed effects models and linear regressions to assess hippocampus-memory relationships and the roles of education and resting-state functional connectivity.
  • Adjusted analyses for demographics and used false discovery rate for multiple comparisons.
  • Identified a significant relationship between hippocampus change and memory change (β = 0.130, p FDR = 0.016, r² = 0.282).
  • Derived continuous measures of cognitive reserve and brain maintenance at the subject level.
  • Found that salience network connectivity moderated the hippocampal-memory relationship (β = −0.070, p FDR = 0.046, marginal r² = 0.179).
  • No other variables moderated or correlated with cognitive reserve, aligning with its longitudinal definition.

Abstract

Abstract Cognitive reserve (CR) and brain maintenance (BM) reflect better than expected cognition despite brain pathology and minimal age-related brain changes that explain stable cognition, respectively. Despite being commonly used, joint quantification of these concepts has been limited; our aim is to derive longitudinal CR and BM measures and investigate CR’s relationship with education and functional connectivity. We analyzed longitudinal data from 451 participants (241 female, age mean = 68.5 years, follow-up mean = 4.2 years). From a hippocampus change-memory change regression, we modeled BM as memory stability relative to hippocampal stability and CR as better-than-expected memory stability relative to hippocampal atrophy. We examined whether education and resting-state functional connectivity (Default Mode, Executive Control and anterior Salience Network) (1) moderated the hippocampal-memory relationship using linear mixed effects models (LMEs), (2) moderated the hippocampus change-memory change relationship using linear regressions, and (3) were associated with our CR measure using LMEs. Analyses adjusted for demographics and MRI scanner/cohort, using false discovery rate (FDR) for multiple comparisons. From a significant hippocampus change-memory change relationship ( β = 0.130, p FDR = 0.016, r 2 = 0.282), we derived continuous CR and BM measures, providing subject-level estimates. Salience Network connectivity moderated the hippocampal-memory relationship ( β = − 0.070, p FDR = 0.046, marginal r 2 = 0.179). No variable moderated the hippocampus change-memory change relationship or correlated with our CR measure, consistent with the measure’s longitudinal definition. Our CR and BM measures refine phenotyping of aging trajectories. CR may be expressed through increased Salience Network connectivity, preserving memory level in the presence of hippocampal atrophy. Future work should delineate longitudinal CR mechanisms that decouple memory change from hippocampal atrophy.

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Cite This Study

Morse et al. (2026) studied this question.

synapsesocial.com/papers/69c0e051fddb9876e79c1cdehttps://doi.org/10.1007/s11357-026-02157-3
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