Surgery for Non‐Dopaminergic and Non‐Motor Features of Parkinson's Disease
Bibliographic record
Abstract
Current surgical interventions for Parkinson's disease (PD) are directed at the motor dysfunction of the disease and the motor complications related to levodopa therapy. As pharmacologic and surgical treatments for these specific aspects of PD have improved, it is becoming increasingly clear that the primary reason for disability today relates to the non-motor and non-dopaminergic features of the disease. Less is known about the effects on these features of modulating firing patterns in the globus pallidus pars internus (GPi) and the subthalamic nucleus (STN) with deep brain stimulation (DBS) or ablative lesions. This chapter reviews the effects of GPi and STN-DBS on the non-dopaminergic features of PD, including psychiatric complications, cognitive dysfunction, pain, autonomic dysfunction, and gait disorders. Emerging surgical therapies that attempt to address some of these problems with novel targets are also discussed.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 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".