Reduced Lexical Access to Verbs in Individuals With Subjective Cognitive Decline
Bibliographic record
Abstract
The detection of cognitive impairment in individuals with subjective cognitive decline (SCD) may improve detection of the emergence of Alzheimer's disease (AD) pathology. This detection is challenging, however, given the lack of sensitive assessment tools. The main objective of this study was to determine the potential contribution of word production tasks to the detection of cognitive impairment in SCD. The performances of 20 individuals with SCD, healthy controls (HCs), and individuals with mild cognitive impairment (MCI) were compared on object and action naming and free fluency tasks. Participants with SCD performed similarly to HCs, while both groups differed significantly from participants with MCI in object naming and object fluency. Results showed that participants with SCD were at the midpoint between HCs and participants with MCI in action naming. They also revealed a HCs > SCD = MCI pattern in action fluency. This study provides evidence that verb production is impaired in SCD and that SCD is a pre-MCI condition.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".