Neural correlates of cross-modal plasticity in partial hearing loss: A mini-review
Bibliographic record
Abstract
Cross-modal plasticity is an adaptive process where sensory neurons that have lost input from one sensory modality begin to respond to another modality, such as in deafness when auditory neurons begin to respond to visual stimulation. Research in cross-modal plasticity in the auditory system has mainly focused on extreme forms of sensory loss like total deafness, especially when occurring at birth or early in life. However, hearing loss is more common in adulthood and only partly affects hearing function to mild or moderate degrees. Fewer research studies have focused on cross-modal plasticity under these conditions. Our objective was to review evidence for cross-modal plasticity to evaluate if findings derived from populations with deafness extend to populations with partial hearing loss. We conclude that cross-modal plasticity occurs in adult-onset partial hearing loss and is likely to recruit cognitive systems. However, cross-modal effects are not clearly separate from intra-modal contributions. It is also unclear if cross-modal plasticity in partial hearing loss confers a behavioural advantage, or if it is influenced by age and cognitive decline.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".