Transcranial magnetic stimulation of the human motor cortex influences the neuronal activity of subthalamic nucleus
Bibliographic record
Abstract
The critical role of the subthalamic nucleus (STN) in the control of movement and parkinsonian symptoms is well established. Research in animals suggests that the cerebral cortex plays an important role in regulating the activity of the STN but this control is not known in humans. The most extensive cortical innervation of the STN originates from motor areas. Here, we used transcranial magnetic stimulation (TMS) during intraoperative single-unit recordings from STN, in six patients with Parkinson's disease (PD) undergoing implantation of deep brain stimulators, to determine whether TMS of the motor cortex (MC) modulates the activity of STN and to investigate in vivo the functional organization of the corticosubthalamic circuit in the human brain. Single-pulse TMS of the MC induced an excitation in 74.9% of neurons investigated. This activation was followed by a long-lasting inhibition of the STN neuronal activity that did not correlate with PD severity. Responsive neurons to TMS of the hand area of motor cortex were located mainly in the lateral and dorsal region of the subthalamus while unresponsive cells had a prevalently medial distribution. This is the first report of TMS-induced modulation of STN neuronal activity in humans. These findings open up new avenues for in vivo studies of corticosubthalamic interactions in human brain and PD.
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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 | 0.001 |
| 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".