Locus coeruleus neuron density and parkinsonism in older adults without Parkinson's disease
Bibliographic record
Abstract
Previous work has showed that nigral neuron density is related to the severity of parkinsonism proximate to death in older persons without a clinical diagnosis of Parkinson's disease (PD). We tested the hypothesis that neuron density in other brain stem aminergic nuclei is also related to the severity of parkinsonism. We studied brain autopsies from 125 deceased older adults without PD enrolled in the Memory and Aging Project, a clinicopathologic investigation. Parkinsonism was assessed with a modified version of the Unified Parkinson's Disease Rating Scale (UPDRS). We measured neuron density in the substantia nigra, ventral tegmental area, locus coeruleus, and dorsal raphe, along with postmortem indices of Lewy body disease, Alzheimer's disease and cerebrovascular pathologies. Mean age at death was 88.0 years, and global parkinsonism was 14.8 (SD, 9.50). In a series of regression models that controlled for demographics and neuron density in the substantia nigra, neuron density in the locus coeruleus (estimate, -0.261; SE, 0.117; P = .028) but not in the ventral tegmental area or dorsal raphe was associated with severity of global parkinsonism proximate to death. These findings were unchanged in models that controlled for postmortem interval, whole-brain weight, and other common neuropathologies including Alzheimer's disease and Lewy body pathology and cerebrovascular vascular pathologies. In older adults without a clinical diagnosis of PD, neuron density in locus coeruleus nuclei is associated with the severity of parkinsonism and may contribute to late-life motor impairments.
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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".