Bilateral Lesions in Parkinson's Disease: Gaps and Controversies
Bibliographic record
Abstract
Bilateral lesions of the basal ganglia using termocoagulation or radiation for improving tremor, bradykinesia, and rigidity in people with Parkinson's disease (PD) have been performed starting several decades ago, especially when levodopa and deep brain stimulation (DBS) surgery were not available. However, because of unclear additional benefit compared to unilateral lesion, and particularly to the evidence of increased adverse events occurrence, bilateral lesions were basically abandoned at the end of the 20th century. Therefore, bilateral DBS has become the standard procedure to treat PD. Magnetic resonance imaging-guided focused ultrasound (MRgFUS) is an emerging incisionless technique used to produce therapeutic brain ablation. The positive experiences of unilateral MRgFUS ablation for PD, along with the preliminary favorable outcomes of bilateral thalamic MRgFUS for essential tremor, raise the possibility to eventually reintroduce bilateral lesioning in the management of PD motor features. This possibility has so far only been tested in a few small studies. This article reviews the evidence of bilateral lesioning of the basal ganglia to treat PD, and elaborates on current gaps, controversies, and perspectives of the different available neurosurgical procedures and specifically of MRgFUS ablation. © 2024 The Author(s). Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".