A Case Report of Myoclonus-Dystonia with Isolated Myoclonus Phenotype and Novel Mutation Successfully Treated with Deep Brain Stimulation
Bibliographic record
Abstract
INTRODUCTION: Myoclonus-dystonia is an inherited disorder characterized by a combination of myoclonic jerks and dystonia. Mutations in the epsilon-sarcoglycan gene (SGCE) represent the main known genetic cause. In the last few years, deep brain stimulation (DBS) has shown significant promise in treating these patients. There is only one report in the literature of a patient with positive SGCE mutation and isolated myoclonus phenotype who has been successfully treated with DBS. CASE PRESENTATION: We present a case of a 16-year-old young man with a history of quick jerks since childhood. They progressed gradually over the years involving the entire body and interfering with most of his daily activities. He had no dystonia. Genetic testing identified a single base deletion in exon 3 of the SGCE gene, considered very likely pathogenic. After unsuccessfully trying several oral medications, he underwent DBS of the globus pallidus internus (GPi). His Unified Myoclonus Rating Scale score during rest and with action improved by 92.8% and 82.6%, respectively. DISCUSSION: The striking effect of DBS on myoclonic jerks confirms the superior benefit of DBS over oral medications. Further study is needed to determine the role of mutation status in predicting DBS response, especially considering that myoclonus-dystonia is genetically heterogeneous. CONCLUSION: Our case confirms the poor response to oral medications and supports the use of GPi DBS for patients with genetically confirmed myoclonus-dystonia and isolated-myoclonus phenotype. In addition, our case represents familial myoclonus-dystonia due to a novel SGCE mutation.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.004 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.008 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 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".