A novel protocol to investigate motor training-induced plasticity and sensorimotor integration in the cerebellum and motor cortex
Bibliographic record
Abstract
Our group set out to develop a sensitive technique, capable of detecting output changes from the posterior fossa following a motor acquisition task. Transcranial magnetic stimulation (TMS) was applied over the right cerebellar cortex 5 ms in advance of test stimuli over the left cerebral motor cortex (M1), suppressing test motor-evoked potentials (MEPs) recorded in a distal hand muscle. Ten participants typed the letters Z, D, F, and P in randomized 8-letter sequences for ∼15 min, and 10 participants took part in the control condition. Cerebellar-M1 recruitment curves were established before and after the motor acquisition task. Cerebellar inhibition at 50% (CBI50) was defined as the intensity of cerebellar-M1 stimulations that produced MEPs that were 50% of the initial test MEP. Collection also occurred at stimulator intensities 5 and 10% above CBI50. A significant interaction effect of group (experimental and control) vs. time (pre- and postintervention) was observed [F(1,18) = 4.617, P = 0.046]. Post hoc tests showed a significant effect for the learning task in the experimental group [F(1,9) = 10.28, P = 0.01]. Further analysis showed specific disinhibition at CBI50 (P = 0.04), CBI50+5% (P = 0.008), and CBI50+10% (P = 0.01) for the experimental group only. Reaction time (P < 0.001) and accuracy (P = 0.006) improved significantly following practice, implying that disinhibition coincides with motor learning. No changes, however, were seen in the control condition. We conclude that this protocol is a sensitive technique that may be used to study cerebellar disinhibition with motor acquisition in vivo.
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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 | 0.001 |
| 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) | 0.000 | 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".