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Record W7117259120 · doi:10.1002/alz70857_097686

Cognitive reserve as a moderator of the association between hippocampal volume and entorhinal thickness and later‐life behavioral symptoms

2025· article· en· W7117259120 on OpenAlexaffabout
Gurshaan Kaur Sidhu, Dylan X. Guan, Maryam Ghahremani, Zahinoor Ismail

Bibliographic record

VenueAlzheimer s & Dementia · 2025
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsHotchkiss Brain InstituteUniversity of Calgary
Fundersnot available
KeywordsHippocampal formationAssociation (psychology)ModerationCognitive reserveCognitionHippocampus

Abstract

fetched live from OpenAlex

BACKGROUND: Cognitive reserve (CR) can serve as a buffer against the clinical manifestations of neurodegenerative disease pathology. For example, greater CR can mitigate cognitive decline in the presence of Alzheimer disease (AD). However, less is known about the associations between CR and neuropsychiatric symptoms (NPS), which also manifest in neurodegenerative disease. AD-related cortical atrophy has previously been linked to NPS. Here, we investigated the moderation effect of CR on the relationship between atrophy in the entorhinal cortex and hippocampus, and NPS in older adults. METHOD: Data were from 455 participants with normal cognition, mild cognitive impairment, or dementia in the Comprehensive Assessment of Neurodegeneration and Dementia (COMPASS-ND). Composite CR score (CRS) was derived from established pro-cognitive proxies across three domains: education, occupation, and personal activities. Convergent validity of the CRS was assessed by modelling association with Montreal Cognitive Assessment (MoCA) score. Logistic regression modelled the relationship between hippocampal/entorhinal atrophy and NPS. A volume/thickness*CRS interaction term was used to assess effect modification, i.e., whether the association between volume/thickness and NPS differed between the levels of CRS. Marginal effects of hippocampal volume and entorhinal thickness were reported across CRS strata (low[-1SD], average, high[+]). All models adjusted for age and sex; NPS models adjusted for MoCA. RESULT: Sample characteristics are shown in Table 1. CRS was associated with higher MoCA score (B=8.48, 95%CI: 5.26-11.71, p <0.001) as well as NPS+ status (OR=0.13, 95%CI: 0.02-0.65, p = 0.01). The association between hippocampal atrophy and NPS+ status was weaker at higher CRS strata (p < 0.05), suggesting a protective effect of CR on behaviour. For the association between entorhinal atrophy and NPS+ status, magnitude and direction of the interaction effect were similar to the hippocampus, but the estimate was less precise, and non-significant [Table 2 for all models]. CONCLUSION: Findings indicate that greater CR mitigates NPS associated with hippocampal atrophy, independent of cognition, suggesting that CR may provide protective benefits that extend beyond cognition. Future research should explore outcomes longitudinally, consider domain-specific analyses, and explore whether these findings extend to functional imaging surrogates of CR.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.023
GPT teacher head0.327
Teacher spread0.304 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes2
Has abstractyes

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