Involvement of the human subthalamic nucleus in movement preparation
Bibliographic record
Abstract
BACKGROUND: Although it has long been recognized that the basal ganglia play a major role in motor control, their precise functions remain unclear. As patients with Parkinson's disease (PD) have difficulties initiating movement, the basal ganglia may be involved in movement preparation. The subthalamic nucleus (STN) is particularly suited to play a role in movement preparation because it receives direct input from the supplementary motor area through the corticosubthalamic pathway. METHODS: Taking advantage of the electrodes surgically implanted in the STN for deep brain stimulation (DBS) treatment in 13 PD patients, we recorded from the DBS electrodes and the scalp simultaneously while the patients were performing self-paced wrist extension movements. RESULTS: Scalp recordings showed a slow, negative movement-related potential (MRP) in all patients studied (onset 1,690 +/- 336 milliseconds before electromyography onset). STN recordings showed premovement MRP in 11 of 13 patients. The STN activity occurred with both ipsilateral and contralateral hand movement. The onset time for STN MRP (contralateral 2,095 +/- 1,005 milliseconds, ipsilateral 2,020 +/- 920 milliseconds) was not significantly different from that for cortical MRP. CONCLUSION: The STN or nearby structures are active before self-paced movement in humans.
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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 | 0.001 |
| 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) | 0.002 | 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".