MétaCan
Menu
Back to cohort
Record W7132910186

Effects of lingual nerve damage on orofacial nociceptive reflexes

2006· dissertation· W7132910186 on OpenAlexfundaboutno aff
Taylor P. McGuire

Bibliographic record

VenueTSpace · 2006
Typedissertation
Language
FieldMedicine
TopicTrigeminal Neuralgia and Treatments
Canadian institutionsnot available
FundersCanadian Institutes of Health Research
KeywordsNociceptionReflexOrofacial painLingual nerveJaw jerk reflexTongueCraniofacialStimulationNoxious stimulus
DOInot available

Abstract

fetched live from OpenAlex

Purpose. Determine the effects of noxious mechanical stimulation (NMS) on four craniofacial sites by examining reflexively evoked orofacial EMG activity and to assess the effects of acute lingual nerve (LN) transection on these NMS-evoked reflexes. Methods. Orofacial reflexes in 31 adult male Sprague-Dawley rats divided into Control, SHAM and Transection groups were acutely evaluated under halothane-anaesthesia. NMS was delivered via a calibrated forceps to four specific craniofacial sites. EMG responses were evaluated using mechanical activation thresholds (MAT), area under the curve (AUC) and response durations (DUR). Results/conclusions. A nociceptive orofacial reflex exhibiting high MAT and co-activation of jaw-opening/closing and tongue muscles consistent with prior nociceptive chemical irritant studies was developed. Acute central sensitization can be induced by surgery and transection of the LN. NMS-evoked nociceptive orofacial reflexes may be useful in assessing small fiber nociceptive afferent input, which in turn may be useful in evaluating dysaesthesia and peripheral nerve damage. Acknowledgements. Supported by CIHR MOP-43905 and the Canadian Association of Oral & Maxillofacial Surgeons (CAOMS) foundation for continuing research grant.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.125
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.013
GPT teacher head0.369
Teacher spread0.356 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2006
Admission routes2
Has abstractyes

Explore more

Same venueTSpaceSame topicTrigeminal Neuralgia and TreatmentsFrench-language works237,207