Cognitive outcomes after focused ultrasound thalamotomy for tremor: Results from the COGNIFUS (COGNitive in Focused UltraSound) study
Bibliographic record
Abstract
INTRODUCTION: Magnetic resonance-guided focused ultrasound (MRgFUS) thalamotomy is an innovative method for the unilateral treatment of essential tremor (ET) and Parkinson's disease (PD) related tremor. Our aim was to assess cognitive changes following MRgFUS thalamotomy to better investigate its safety profile. METHODS: We prospectively investigated the cognitive and neurobehavioral profile of patients consecutively undergoing MRgFUS within a 2-year period. Patients had a comprehensive clinical and neuropsychological assessment before and six months after MRgFUS thalamotomy. RESULTS: The final sample consisted of 40 patients (males 38; mean age±SD 67.7 ± 10.7; mean disease duration±SD 9.3 ± 5.6; ET 22, PD 18 patients). For the whole sample, improvements were detected in tremor (Fahn-Tolosa-Marin Clinical Rating Scale for tremor 35.79 ± 14.39 vs 23.03 ± 10.95; p < 0.001), anxiety feelings (Hamilton Anxiety rating scale 5.36 ± 3.80 vs 2.54 ± 3.28, p < 0.001), in the overall cognitive status (MMSE 25.93 ± 3.76 vs 27.54 ± 2.46, p 0.003; MOCA 22.80 ± 4.08 vs 24.48 ± 3.13, p < 0.001), and in quality of life (Quality of life in Essential Tremor Questionnaire 36.14 ± 12.91 vs 5.14 ± 6.90, p < 0.001 and PD Questionnaire-8 5.61 ± 4.65 vs 1.39 ± 2.33, p 0.001). No changes were detected in frontal and executive functions, verbal fluency and memory, abstract reasoning and problem-solving abilities. CONCLUSION: Our study moves a step forward in establishing the cognitive sequelae of MRgFUS thalamotomy and in endorsing effectiveness and safety.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".