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Record W4392447770 · doi:10.1155/2024/6643510

Focused Ultrasound Thalamotomy for Tremor Relief in Atypical Parkisnsonism

2024· article· en· W4392447770 on OpenAlexaboutno aff
Alon Sinai, Maria Nassar, Lev Shornikov, Marius Constantinescu, Menashe Zaaroor, Ilana Schlesinger

Bibliographic record

VenueParkinson s Disease · 2024
Typearticle
Languageen
FieldMedicine
TopicNeurological disorders and treatments
Canadian institutionsnot available
Fundersnot available
KeywordsThalamotomyParkinsonismDementia with Lewy bodiesRating scaleEssential tremorMedicineParkinson's diseaseMontreal Cognitive AssessmentPhysical medicine and rehabilitationMagnetic resonance imagingPsychologyPhysical therapyDementiaRadiologyDiseaseDeep brain stimulationInternal medicineDevelopmental psychology

Abstract

fetched live from OpenAlex

Background: Magnetic resonance imaging (MRI)-guided focused ultrasound (FUS) VIM-thalamotomy has established efficacy and safety in tremor relief in patients with essential tremor and Parkinson's disease. The efficacy and safety in patients with atypical parkinsonism have not been reported. Objective: = 3). Methods: Tremor was assessed in the treated hemibody using the Clinical Rating Scale for Tremor (CRST). The motor Unified MSA Rating Scale (UMSAR) was used in the MSA-P and motor sections of the Unified Parkinson's Disease Rating Scale (UPDRS-III) in DLB patients. Cognition was measured using the Montreal Cognitive Assessment (MoCA). Results: In MSA-P and DLB patients, there was immediate tremor relief. CRST scores measured on the treated side improved compared to baseline. During the follow-up of up to 1 year tremor reduction persisted. The change in CRST scores at different time points did not reach statistical significance, probably due to the small sample size. Adverse events were transient and resolved within a year. Conclusions: In our experience, FUS VIM-thalamotomy was effective in patients with MSA-P and DLB. Larger, controlled studies are needed to verify our preliminary observations.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.204
Threshold uncertainty score0.614

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.025
GPT teacher head0.297
Teacher spread0.272 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2024
Admission routes1
Has abstractyes

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