Education protects against the detrimental effect of hippocampal atrophy on episodic memory decline
Bibliographic record
Abstract
Abstract Background Hippocampal volume loss and episodic memory decline are early signs of Alzheimer’s disease (AD). Cognitive reserve refers to individual differences that enable people to perform cognitive tasks at a higher level than expected based on their current level of neurodegeneration (Stern et al., 2020).In the current study we test the hypothesis that education, a sociobehavioural proxy of reserve, moderates the association between hippocampal atrophy and memory function in persons at preclinical stages of AD. Method Data from the Quebec Consortium for the early identification of Alzheimer’s disease were used (CIMAQ; Belleville et al., 2019). Sixty two older adults (38 females, 24 males; mean age = 74 years old, SD = 5.4, range = 65‐88; mean education = 15 years, SD = 3.3, range = 7‐22) were diagnosed with subjective cognitive decline (SCD) or mild cognitive impairment (MCI). Anatomical 3D‐T1‐w MRIs were collected at baseline and used to calculate hippocampal volume with FreeSurfer 5.3 (Belleville et al., 2021). A Face‐Name associative memory test was conducted at three time points: baseline, two years later, and four years later. Memory change was measured as the average individual slope (over three time points) of associative memory accuracy (correctly recognizing face‐name pairs). Analyses were conducted with using R (R Core Team, 2020). Result Years of education significantly moderated the effect of hippocampal volume on memory over time, β = ‐1.97 (SE = 0.93; 95% CI = ‐3.83, ‐0.11), p = .04. Hippocampal volume had a significant negative correlation with memory over time in people with lower education levels (1 SD below the mean), but not for mean levels or higher education levels (1 SD above the mean; Figure 1). A Johnson‐Neyman plot revealed that people with over 14 years of education showed resilience to the negative association of hippocampal volume loss and memory over time, while those with 14 years or below did not (Figure 2). Conclusion Educational attainment contributes to cognitive reserve by buffering against the detrimental effect of hippocampal atrophy on declining associative memory in preclinical AD. The current findings offer practical relevance by showing that 14 years is a threshold amount of education that confers a protective influence against memory decline.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".