Resting neural activity patterns in auditory brainstem and midbrain in conductive hearing loss
Bibliographic record
Abstract
CONCLUSIONS: Conductive hearing loss (CHL) lowers resting neural activity patterns in the auditory periphery. Such reductions of peripheral auditory activity may influence the developing central brain during early postnatal years when the system is still highly plastic. OBJECTIVES: A common cause of CHL in young children is otitis media; if chronic and/or episodic there may be a risk to speech and language development. In this clinical context we have investigated changes in neural activity patterns in the brainstem and midbrain in an animal model of CHL. METHODS: In a mouse model, a 50-60 dB CHL was produced by blocking the ear canals. We quantified resting neural activity patterns in the cochlear nucleus and inferior colliculus using c-fos immuno-labelling. This experimental group was compared with normal-hearing controls and with animals with bilateral cochlear ablation. RESULTS: Subjects with CHL had a statistically significant reduction in c-fos-labelled cells in the cochlear nucleus and central nucleus of the inferior colliculus compared with normal controls. This decreased c-fos expression suggests a change in resting neural activity generated at the inner hair cell synapse, leading to a reduction in activity levels in the ascending auditory pathways.
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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".