Deep brain stimulation for Parkinsonʼs disease and other movement disorders
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
PURPOSE OF REVIEW: Deep brain stimulation (DBS) is now widely used in the treatment of Parkinson's disease, tremor, and dystonia. This review examines recent developments in the application of DBS to the management of movement disorders. RECENT FINDINGS: In Parkinson's disease, recent work has demonstrated that early DBS may have a significant benefit on quality of life and motor symptoms while permitting a decrease in levodopa equivalent dosage. Thalamic DBS continues to be a well established target for the treatment of tremor, although recent work suggests that alternative targets such as the posterior subthalamic area may be similarly efficacious. The treatment of primary dystonia with DBS has been established in multiple recent trials, demonstrating prolonged symptomatic benefit. SUMMARY: DBS is now an established symptomatic treatment modality for Parkinson's disease and other movement disorders. Future work will undoubtedly involve establishing new indications and targets in the treatment of movement disorders with further refinements to existing technology. Ultimately, these methods combined with biologically based therapies may catalyze a shift from symptomatic treatment to actually modifying the natural history of neurodegenerative diseases such as Parkinson's disease.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 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 it