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Record W3043205129 · doi:10.5812/ans.104360

Mastication Muscle Suppression by the Mandibular Branch of Trigeminal Nerve Catheter-Based, Ultrasound-Guided Block: A Case Report

2020· article· en· W3043205129 on OpenAlexaff
Fardin Yousefshahi, Juan Francisco Asenjo, Hossein Majedi

Bibliographic record

VenueArchives of Neuroscience · 2020
Typearticle
Languageen
FieldMedicine
TopicAnesthesia and Pain Management
Canadian institutionsMcGill University
Fundersnot available
KeywordsMedicineBlockadeNerve blockTrigeminal nerveMuscle contractureAnesthesiaAnatomyInternal medicine

Abstract

fetched live from OpenAlex

Introduction: Ultrasound-guided nerve blocks have enhanced our abilities to selectively and effectively suppress certain nerves to accomplish specific goals, including blockade a localized seizure muscle movement without affecting the seizure threshold or level of the consciousness. Case Presentation: This is a case report of the blockade of the movement of a chewing muscle by the continuous (catheter-based) mandibular nerve block in a 27 years old man with high-frequency partial seizures in facial muscles who was a candidate for seizure focus ablation. An out-of-plane approach was used to insert a catheter near the mandibular nerve to provide intermittent or continuous peripheral nerve block. This report demonstrated that a continuous block of the mandibular nerve could effectively facilitate the seizure focus mapping and ablation. Conclusions: We can selectively suppress the contractures of a certain muscle in partial seizures by a continuous block of the responsible nerve. This blockade can facilitate seizure focus mapping and ablation.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.002
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0050.003
Insufficient payload (model declined to judge)0.0020.001

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 head0.029
GPT teacher head0.277
Teacher spread0.247 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
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
Published2020
Admission routes1
Has abstractyes

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