Bilateral Stimulation of the Globus Pallidus Internus to Treat Choreathetosis in Huntington's Disease: Technical Case Report
Bibliographic record
Abstract
OBJECTIVE AND IMPORTANCE: Huntington's disease (HD) produces debilitating motor abnormalities that are poorly responsive to medical therapy. Deep brain stimulation (DBS) may offer a treatment option for afflicted patients, but its role in the management of HD remains unclear. In the present case, DBS leads were implanted bilaterally into the posteroventral globus pallidus internus (GPi) to control disabling and medically intractable choreathetosis in a severely affected HD patient. The surgical procedure, intraoperative electrophysiological findings, and 12-month postoperative course, with patient video, are presented. CLINICAL PRESENTATION: This 41-year-old man with genetically confirmed HD developed motor symptoms at age 28. He had completed multiple medical trials without alleviation of his progressive and debilitating choreathetosis. Extensive clinical assessment, including neuropsychological testing, was performed to determine surgical candidacy. INTERVENTION: DBS leads were bilaterally implanted, under stereotactic guidance, into the posteroventral GPi. Disease progression and symptom control were assessed at regular postoperative intervals. Bilateral pallidal stimulation produced a dramatic reduction in choreathetoid movements and improvement in overall motor functioning. The patient also exhibited normalization of body weight, mood, and energy level, as well as improved performance of activities of daily living. These effects were sustained at 1 year after surgery. CONCLUSION: The clinical benefits of DBS observed in this HD patient were comparable to those reported in other hyperkinetic disorders and demonstrate that pallidal stimulation can provide long-term alleviation of HD-associated choreathetosis.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 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".