Transcranial Ultrasound Stimulation of Internal Globus Pallidus Region and Motor Cortex in Parkinson's Disease
Bibliographic record
Abstract
BACKGROUND: Many patients with Parkinson's disease (PD) have motor impairments despite dopaminergic therapy. Low-intensity transcranial ultrasound stimulation (TUS) is a non-invasive neuromodulation method with high spatial precision. The effects of motor cortex (M1) and internal globus pallidus (GPi) TUS on PD motor signs and cortical excitability are still uncertain. OBJECTIVES: To compare the effects of M1 theta burst TUS (tbTUS), GPi region tbTUS, and dual-site (M1 + GPi region) tbTUS on neurophysiology and motor signs in PD patients. METHODS: Sequential bilateral real M1/sham GPi, real GPi/sham M1, and simultaneous dual-site tbTUS were administered in three separate study visits in random order to 13 PD patients. Movement Disorder Society-sponsored revision of the Unified Parkinson's Disease Rating Scale-Part III (MDS-UPDRS-III) scores and transcranial magnetic stimulation measures of cortical excitability were recorded at baseline and at several time points up to 60 min after sonication. RESULTS: MDS-UPDRS-III scores and bradykinesia subscores decreased compared with baseline after GPi tbTUS at 30 min after sonication. Motor evoked potential (MEP) ratio to baseline increased after M1 tbTUS compared with GPi tbTUS at 10 min after sonication (T10). The stimulation intensity to elicit 1 mV MEP ratio to baseline in the GPi tbTUS condition was higher compared with baseline and with M1 tbTUS and dual-site tbTUS at T10. MEP amplitudes and MDS-UPDRS-III scores did not significantly change after the M1 and dual-site tbTUS conditions. CONCLUSIONS: Bilateral GPi region tbTUS is a potential non-invasive approach for improving motor signs in PD patients, particularly bradykinesia. © 2025 The Author(s). Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
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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".