Basic Tips: How Do I Start Programming Deep Brain Stimulation in Parkinson Disease Patients?
Why this work is in the frame
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Bibliographic record
Abstract
Deep brain stimulation (DBS) has become an integral component of Parkinson disease treatment. Programming a DBS device is a time-consuming process and requires a highly trained specialist to obtain optimal results. During the last few years, we have witnessed a rapid technological advance of DBS systems, making the programming process even more complex and emphasizing the need for a structured approach. In this manuscript and the attached videos, we will demonstrate a step-by-step programming approach for DBS targeting the subthalamus and the globus pallidus pars Interna. In doing so we will show the main features and differences of the three main systems available on the market, including the newest ones able to record braingenerated local field potentials for clinical applications.
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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 | 0.001 | 0.010 |
| 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 | 0.001 |
| 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