Prospective memory in amnestic mild cognitive impairment
Bibliographic record
Abstract
Individuals with amnestic mild cognitive impairment (aMCI) often complain of difficulty remembering to carry out intended actions, consistent with findings of impaired prospective memory (PM) in this population. In this study, individuals with aMCI (N = 27) performed worse than healthy controls (N = 27) on the Memory for Intentions Screening Test (Raskin, 2004), including on time- and event-based subscales, and recognition of the intentions. The aMCI participants made more errors overall, but the proportion of the various error types did not differ between the two groups. Across all error types, both groups made more retrospective than prospective errors, especially on event-based PM tasks. Overall, the findings suggest that PM impairment in aMCI is associated with deficient cue detection involving both automatic (as in event-based tasks) and more strategic detection (as in time-based tasks) processes. These difficulties are likely due to a combination of problematic retrospective episodic memory (e.g., reduced encoding and/or consolidation of cue-intention pairings) and executive functions (e.g., decreased self-initiation, attention switching, and/or inhibition on memory tasks). Formal assessment of PM may help characterize the nature of the memory impairment among individuals with aMCI in clinical neuropsychological evaluations.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".