Bibliographic record
Abstract
HYPOTHESIS: Voluntary eardrum movement (VEM) and resultant tympanometric changes reflect tensor tympani (TT) contraction. BACKGROUND: TT contraction has been hypothesized to cause symptoms of aural fullness, tinnitus, clicking, and even vertigo despite the lack of understanding of how it functions or what causes it to contract. Identifying tympanometric changes unique to TT contraction can provide a diagnostic tool for identifying its role in pathologic conditions. METHODS: Various tympanometric measurements were performed on human subjects who could voluntarily move their eardrums. These were compared with similar tympanometric measurements performed on cadaveric temporal bones while manually tensing the TT and stapedius muscles individually. RESULTS: Eight subjects (14 ears) who could cause VEM were identified. Compared with baseline, VEM resulted in significantly decreased middle ear compliance (p < 0.01) and middle ear pressure (p < 0.01) measurements. The compliance changes seen with VEM were larger than those seen with acoustically stimulated stapedius contraction. Finally, the direction of compliance change with VEM was dependent on the pressure applied to the external auditory canal (EAC), with compliance increasing with positive EAC pressure. This was not seen with stapedius contraction. These findings were reproduced using the cadaveric temporal bone model: larger compliance changes with pull on TT as compared with stapedius with neutral EAC probe pressure; change in direction of compliance changes with varying EAC probe pressure with TT pull, not with stapedius pull. CONCLUSION: TT contraction produces distinctive tympanometric findings that can be used to support its abnormal contraction in ears with symptoms compatible with TT syndrome.
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 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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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.
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".