Bibliographic record
Abstract
Akinesia and gait disturbances are particularly incapacitating for patients with Parkinson's disease. The anatomical and physiological substrates for these disturbances are poorly understood. The pedunculopontine nucleus (PPN) is thought to be involved in the initiation and modulation of gait and other stereotyped movements, because electrical stimulation and the application of neuroactive substances in the PPN can elicit locomotor activity in experimental animals. Glutamatergic neurones of the PPNd (pars dissipatus) are thought to be important regulators of the basal ganglia and spinal cord. The other component of the PPN, the cholinergic pars compacta (PPNc), is a principal component in a feedback loop from the spinal cord and limbic system back into the basal ganglia and thalamus. Electrophysiological studies suggest that 'bursting' glutamatergic PPNd neurones are related to the initiation of programmed movements while non-bursting cholinergic PPNc neurones are related to the maintenance of steady-state locomotion. Furthermore, since patients with Parkinson's disease have significant loss of PPN neurones and experimental lesions in the PPN of normal monkeys result in akinesia, the degeneration of PPN neurones or their dysfunction may be important in the pathophysiology of locomotor and postural disturbances of parkinsonism. The goal of this review is (i) to highlight the anatomical connections and physiological attributes of the PPN, (ii) to discuss how the function of these connections may be altered in the parkinsonian state, and (iii) to speculate how present and potential future therapy directed to the PPN might improve akinesia and gait difficulties in parkinsonian patients.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".