Hemispheric asymmetry of the ipsilateral silent period following voluntary movement of the opposite hand
Bibliographic record
Abstract
OBJECTIVE: To investigate whether post-movement beta rebound (PMBR), a proposed marker of cortical inhibition, reflects interhemispheric inhibition as measured by the ipsilateral silent period (iSP) following voluntary movement and to assess hemispheric asymmetries. METHODS: Twenty right-handed participants underwent transcranial magnetic stimulation (TMS) to elicit iSPs at baseline (no button-press) and eight timepoints following movement of the opposite hand, iSPs and motor-evoked potentials (MEPs) were recorded for both hemispheres. Six participants completed magnetoencephalography (MEG) to characterize beta oscillatory activity during the task. Five participants completed the task without the TMS as a control. RESULTS: iSP magnitude did not significantly change during PMBR period. Instead, post-movement iSP increased in the right hemisphere and decreased in the left, yielding a significant hemispheric difference (p = 0.014). MEG data confirmed symmetrical PMBR across hemispheres. MEPs showed increased excitability post-movement, particularly at early timepoints. Movement alone, without TMS, did not account for hemispheric asymmetry. CONCLUSIONS: PMBR and iSP appear to reflect distinct inhibitory mechanisms. The dissociation suggests PMBR does not index transcallosal inhibition (TCI). Hemispheric asymmetry in iSP suggests stronger TCI following non-dominant hand movements. SIGNIFICANCE: The dissociation between iSP and PMBR underscores the complexity of motor control, informs understanding lateralized motor function and rehabilitation.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.003 | 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".