Dissecting the Effect of Aging on the Neural Substrates of Memory: Deterioration, Preservation or Functional Reorganization?
Bibliographic record
Abstract
One of the most common deficits observed during late adulthood is a loss in the ability to learn and remember new information. This cognitive ability depends mainly on the integrity of the hippocampal formation and the prefrontal cortex, which are especially susceptible to the effects of age. Here we provide a selective review of the literature gathered from studies carried out in humans and animals, examining the effect of aging on the functional anatomy of memory. We discuss some of the methodological and theoretical difficulties associated with the current approach to the study of aging and, in turn, a series of strategies that may be implemented to ensure the most accurate interpretation of the data. Altogether, the evidence discussed in this review supports the idea that there is no general age-related deterioration of the neural substrates of memory, but rather a differential effect in which some brain areas may be adversely affected while others may compensate for the neurobiological deterioration associated with age.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".