Pallidal Deep Brain Stimulation for a Case of Hemidystonia Secondary to a Striatal Stroke
Bibliographic record
Abstract
BACKGROUND: The efficacy of bilateral globus pallidus internus (GPi) deep brain stimulation (DBS) for medically refractory idiopathic generalized dystonia has been demonstrated repeatedly. More variable outcomes have been reported in the treatment of secondary dystonia with GPi DBS. OBJECTIVES: The present study seeks to examine the pallidal physiology and clinical outcome of GPi DBS in a case of secondary dystonia. METHODS: We report on a 43-year-old man who at the age of 9 suffered a left basal ganglia stroke and at the age of 21 developed severe disabling hemidystonia. Following unsuccessful medical management for many years and an axial involvement of the dystonia, he underwent bilateral GPi DBS with dual microelectrode mapping of cell firing and evoked field potentials (fEP). RESULTS: On the intact side we found regular firing of pallidal neurons and normal fEP indicative of functioning striatopallidal pathways. The affected side was found to include a higher frequency of bursting pallidal neurons. fEP could not be evoked on the affected side, suggesting their origin to be striatal GABAergic afferents. CONCLUSIONS: The patient had marked benefit from bilateral GPi DBS, which suggests that the therapeutic effects of DBS were mediated by the intact pathways in this case of hemidystonia.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| 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 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".