Induction of cortical swallowing activity by transcranial magnetic stimulation in the anaesthetized cat
Bibliographic record
Abstract
Transcranial magnetic stimulation (TMS) over human fronto-central areas of scalp can activate short latency responses in the muscles of the face, pharynx and oesophagus. However, the physiological relationship between this early activity and the swallowing activity programmed by the brainstem central pattern generator (CPG) remains unclear. The aim of this study was to explore the relationship between TMS-induced early muscle and late swallowing activities in the feline model. Twelve adult cats were studied under light anaesthesia. Mylohyoid and oesophageal EMG, together with pharyngeal, upper oesophageal sphincter (UOS) and upper oesophageal manometry, were recorded to single-pulse TMS of cat cortex. TMS at low stimulation intensities evoked consistent short latency EMG responses in the mylohyoid and oesophageal muscles (6.1 +/- 1.2 ms and 12.7 +/- 0.7 ms, respectively), and early contractile activity in the UOS (latency 31.8 +/- 3.6 ms). By contrast, TMS at high intensities induced swallowing activity as indicated by mylohyoid EMG, and UOS relaxation (latencies 1.1 +/- 0.4 s and 0.8 +/- 0.1 s, respectively). Both the early muscle and late swallowing activities were intensity-dependent, increasing stimulus strength producing a reduction in latency and greater number of swallows. The characteristics of the early response suggest an oligosynaptic projection from cortex to swallowing muscles. The induction of swallows at high intensities suggests a requisite for greater recruitment of cortical motoneurones, or associated swallowing regions.
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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 | 0.000 |
| 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) | 0.001 | 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".