Deep Brain Stimulation of the Ventral Intermediate Nucleus of the Thalamus for Tremor in Patients With Multiple Sclerosis
Bibliographic record
Abstract
BACKGROUND: Tremor is an important cause of disability in patients with multiple sclerosis (MS). Deep brain stimulation (DBS) in the ventral intermediate nucleus (VIM) of the thalamus is said to be beneficial for MS tremor. OBJECTIVE: To assess the long-term efficacy of VIM DBS for MS disabling tumor. METHODS: We treated 10 patients (4 men and 6 women) with advanced MS-related medication-resistant tremor with DBS at the VIM thalamic nucleus. DBS was unilateral in 9 patients and bilateral in 1 patient in 2 stages. Contralateral arm tremor was assessed with the Fahn-Tolosa-Marin tremor rating scale. RESULTS: At 1 year, 5 of 10 patients (5 of 11 hemispheres) had a reduction in tremor scores with stimulation compared with baseline; in 3 patients, the reduction was > 50%. After 36 months, 3 patients continued benefiting from stimulation, 2 having > 50% improvement. Of the 6 symptomatic sides that did not benefit at 1 year, 3 failed to have even initial benefit, and 3 had a transient improvement lasting < 1 year. One patient stopped using stimulation because of a lack of improvement at 5 months after surgery and was lost to follow-up. CONCLUSION: Approximately one-half of the patients derived some benefit from VIM DBS 1 year after surgery, but this benefit reached a > 50% reduction in only 30% of the patients. This level of improvement may be related to the variability of the demyelinating lesions and the superimposition of ataxia in the MS patients. Developing better treatments for MS tremor continues to be a challenge.
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How this classification was reachedexpand
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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".