Comprendre le stade compensatoire de la maladie d’Alzheimer et agir pour promouvoir la cognition et la plasticité cérébrale.
Bibliographic record
Abstract
Alzheimer's disease begins with a phase of mild cognitive impairment (MCI), characterized by the presence of minor symptoms that have little or no impact on functional independence. The study of patients with MCI has led to spectacular advances in understanding the prodrome of the disease. It has also produced a typical cognitive profile: an impairment of episodic memory, especially delayed recall and associative memory, deficit in executive functions or working memory and certain semantic problems. Recent studies have also examined compensatory processes that take place during the early phase of the disease. Functional magnetic resonance imagery indicates that the brain is more active in persons with MCI than in normal people. Some researchers have interpreted this hyperactivity as playing a compensatory role. Intervention studies have relied on cognitive training programs to promote adaptation and compensatory plasticity processes. These studies have shown that the memory and well-being of people with MCI could be improved by such programs. They have also revealed changes in the level of cerebral activation among persons with MCI who received this type of intervention. In Summary, studies in neuropsychology and in cognitive neuroscience have greatly contributed to characterizing this critical phase of Alzheimer's disease and offer avenues for intervention that could increase adaptation and improve the quality of life of people suffering from the disease. (PsycINFO Database Record
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.018 | 0.003 |
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".