Non-auditory processing of cochlear implant stimulation after unilateral auditory deprivation in children
Bibliographic record
Abstract
We have aimed to identify effects of unilateral hearing on the developing brain in a series of studies in children who have one deaf ear and access sound in the other ear through normal hearing, a hearing aid, or a cochlear implant (CI). Multi-channel EEG in these cohorts revealed strengthening of auditory pathways from the hearing ear to the auditory cortices. Response differences found in frontal and precuneus cortical areas in adolescents with long term unilateral CI use suggested involvement of non-auditory cortical areas during passive hearing. We also examined cortical effects of leaving one ear deprived of sound during development in children with unilateral hearing (listed above) who received a CI in their deaf ear. Atypical responses to CI stimulation showed strong activation of the ipsilateral auditory cortex which increased with duration of unilateral deprivation. Graph theory analysis including community detection revealed a network that was organised into a temporal-occipital module and a temporal-frontal module, with left Heschel’s gyrus and left lingual gyrus central to information flow between the two. Results across these studies identify neuroplasticity in children with unilateral hearing/deprivation and suggest that regions outside of the auditory cortex can modulate sound processing through CIs.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".