Amplified extrastriate visual cortical projections to the dorsal zone of auditory cortex following early- and late-onset deafness
Bibliographic record
Abstract
Adaptive cross-modal plasticity refers to cortical reorganization that takes place across sensory modalities following the loss of a sensory system. This loss of one modality is often accompanied by a heightening of the remaining senses (Bavelier and Neville, 2002). Cat auditory cortex has been shown to undergo cross-modal reorganization following deafness, such that deaf animals are better able to detect visual motion than hearing controls, an advantage which can be localized to the dorsal zone (DZ) of auditory cortex (Lomber et al., 2010). However, because the structural adaptations that might subserve this plasticity remain largely unknown, the purpose of the present investigation was to examine modifications in anatomical connectivity following early- or late-onset deafness. We injected DZ of hearing, early- and late-deafened cats ( n = 5 per group) with biotinylated dextran amine (BDA). Immunohistochemistry was performed following perfusion to reveal the tracer. Overall, the pattern of cortical projections to DZ was similar in both early- and late-deafened cats and hearing controls. However, an increase in projection strength from visual areas involved in visual motion processing was observed in both early- and late-deafened animals compared to hearing controls. Our observations suggest that amplified cortical projections from visual motion processing regions to DZ may underlie the cross-modal reorganization that functionally manifests as superior visual motion detection abilities in the deaf animal. Furthermore, the degree to which this reorganization occurs is similar between early- and late-deafened animals, suggesting that structural compensations can occur regardless of duration of acoustic experience.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".