Effects of periodontal afferent inputs on corticomotor excitability in humans
Bibliographic record
Abstract
The aim of the present study was to determine in humans whether local anaesthesia (LA) or nociceptive stimulation of the periodontal ligaments affects the excitability of the face primary motor cortex (MI) related to the tongue and jaw muscles, as measured by transcranial magnetic stimulation (TMS). Twelve healthy volunteers (11 men, 1 woman, 25.3 +/- 4.2 years) participated in two 3-h sessions separated by 7 days. The LA carbocain or the nociceptive irritant capsaicin was randomly injected into the periodontal ligament of the lower right central incisor. In both sessions, TMS-motor evoked potential (MEP) stimulus-response curves and corticomotor maps were acquired for the tongue and masseter muscles before (baseline) and at 5, 30 and 60 min post-application of carbocain or capsaicin. Transcranial magnetic stimulation-MEP stimulus-response curves were also acquired at these time points for the first dorsal interosseous (FDI) as an internal control. Burning pain intensity and mechanical sensitivity ratings to a von Frey filament applied to the application site were recorded on an electronic visual analogue scale (VAS). All subjects reported a decreased mechanical sensitivity (anova: P = 0.004) in the LA session and a burning pain sensation (VAS peak pain: 6.4 +/- 1.0) in the capsaicin session. No significant changes in cortical excitability of the MI, as reflected by TMS-MEP stimulus-response curves or corticomotor maps for the tongue, masseter or FDI were found between baseline and post-injection for the LA (anovas: P > 0.22) or capsaicin (anovas: P > 0.16) sessions. These findings suggest that a transient loss or perturbation in periodontal afferent input to the brain from a single incisor is insufficient to cause changes in corticomotor excitability of the face MI, as measured by TMS in humans.
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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".