In vivo positron emission tomographic evidence for compensatory changes in presynaptic dopaminergic nerve terminals in Parkinson's disease
Bibliographic record
Abstract
Clinical symptoms of Parkinson's disease (PD) do not manifest until dopamine (DA) neuronal loss reaches a symptomatic threshold. To explore the mechanisms of functional compensation that occur in presynaptic DA nerve terminals in PD, we compared striatal positron emission tomographic (PET) measurements by using [11C]dihydrotetrabenazine ([11C]DTBZ; labeling the vesicular monoamine transporter type 2), [11C]methylphenidate (labeling the plasma membrane DA transporter), and [18F]dopa (reflecting synthesis and storage of DA). Three consecutive PET scans were performed in three-dimensional mode by using each tracer on 35 patients and 16 age-matched, normal controls. PET measurements by the three tracers were compared between subgroups of earlier and later stages of PD, between drug-naive and drug-treated subgroups of PD, and between subregions of the parkinsonian striatum. The quantitative relationships of [18F]dopa and [11]DTBZ, and of [11C]methylphenidate and [11C]DTBZ, were compared between the PD and the normal control subjects. We found that [18F]dopa Ki was reduced less than the binding potential (Bmax/Kd) for [11C]DTBZ in the parkinsonian striatum, whereas the [11C]methylphenidate binding potential was reduced more than [11C]DTBZ binding potential. These observations suggest that the activity of aromatic L-amino acid decarboxylase is up-regulated, whereas the plasma membrane DA transporter is down-regulated in the striatum of patients with PD.
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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 | 0.000 |
| 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) | 0.001 | 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".