Ventricular dilatation and brain atrophy in patients with Parkinson's disease with incipient dementia
Bibliographic record
Abstract
Age-related ventricular enlargement is accelerated in Alzheimer's disease, but its relationship to cognitive decline in Parkinson's disease is less clear, even though dementia is common in Parkinson's disease. Our goals were to determine if greater enlargement of the ventricles and gray or white matter atrophy occurred in Parkinson's disease patients developing cognitive decline. Older nondemented patients with Parkinson's disease (33) and age- and sex-matched controls (39) were recruited and prospectively assessed for the development of significant cognitive decline over 36 months. Magnetic resonance imaging was obtained every 18 months, and ventricular volume and total brain gray and white matter volumes were measured using reliable segmentation of T1-weighted volumetric scans. Subjects with incidental intracranial abnormalities, an atypical course, and stroke as well as dropouts were excluded from a cohort of 52 patients and 50 controls. Among 33 patients and 39 controls, 10 patients and 3 controls developed significant cognitive impairment or dementia. Ventricular change and Parkinson's disease status were significantly associated with dementia. Ventricular change was significantly correlated with change in Mini-Mental Status Examination in the Parkinson's disease with dementia group (r = 0.87, P = .001). Gray matter atrophy was greater in Parkinson's disease with dementia, with similar change over time in both Parkinson's disease and Parkinson's disease with dementia. White matter volumes were not significantly different between Parkinson's disease and Parkinson's disease with dementia; however, the decrease over time might be greater in Parkinson's disease with dementia. Ventricular dilatation occurs early in the course of significant cognitive decline in patients with Parkinson's disease, possibly reflecting both cortical gray and white matter loss.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".