P.003 Structural integrity of the nucleus basalis of meynert in Parkinson’s Disease related cognitive and gait decline
Bibliographic record
Abstract
Background: In Parkinson’s disease (PD), mounting evidence implicates degeneration of cholinergic systems in cognitive and gait decline. The Nucleus Basalis of Meynert (NBM) is a major cholinergic nucleus with widespread cortical projections. We hypothesized that atrophy of the NBM is correlated with cognitive phenotypes and gait measures in PD. Methods: Subjects from the COMPASS-ND study (20 controls and 79 PD patients) were studied. Clinical measures included cognitive diagnosis (MCI, dementia) and quantitative gait parameters with dual task gait. Manual region of interest measurement of the NBM was performed on T1 MRI scans. NBM volumes were analyzed against clinical measures. Results: PD-MCI and PD-dementia patients had greater dual task costs to gait speed when performing serial 7s (mean difference -12%, p=0.02; -11%, p=0.04) and animal fluency tasks (mean difference -9%, p=0.02; -15%, p<.001) compared to controls. Reduced normalized NBM volume was associated with PD-MCI (mean difference 0.34, p=0.04) and PD-dementia (mean difference 0.55, p<0.001) phenotypes. NBM volume was weakly correlated with gait velocity (r2 0.06, p=0.01) and dual task cost to gait velocity with animal fluency (r2 0.06, p=0.02). Conclusions: NBM atrophy is associated with cognitive decline in PD and may be responsible for cognitive aspects of gait performance.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".