Behavioural Correlates of Cognitive Skill Learning in Parkinson's Disease
Bibliographic record
Abstract
The impact of basal ganglia dysfunction on cognitive skill learning was explored using a learning version of the Tower of London (TOL) task, which places a heavy load on working memory and is not confounded by declarative memory, as have been previous tasks.Two subgroups of Parkinson's disease (PD) patients were assessed and also completed a selection of neuropsychological tests: the first was unmedicated (de novo, n=12) and the second included patients normally receiving L-DOPA, but tested off medication (n=12).Overall, neither subgroup was impaired when learning the task compared to control participants (n=22).Six patients, however, failed to improve their performance with practice.Their learning deficit could not be explained in terms of their functional status; instead, it was related to deficits on span tests.Thus, the inability to acquire a new cognitive skill in PD may not be due to learning impairments per se, but rather, it appears to be secondary to working memory deficits.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".