Microstructural alterations in grey and white matter following early-onset deafness in the cat
Bibliographic record
Abstract
Following sensory deprivation, compensatory plasticity underlies the reorganization of sensory-specific brain areas to process remaining modalities. For instance, following visual deprivation, higher order visual areas adapt to process tactile stimuli, providing somatosensory enhancement to visually-deprived individuals. Considering the consequence of plasticity following visual deprivation, what changes occur throughout the brain following auditory deprivation? Previous studies have examined microstructural consequences of deafness, including its effect on cerebral water diffusion through diffusion tensor imaging (DTI). However, nearly all investigations have studied these neuronal changes in humans rather than animals. The purpose of the present study was to extend microstructural investigations to animal models of deafness, comparing diffusivity scalars between hearing (n=27) and deaf cats (n=19) via DTI within 155 grey and 21 white matter regions. Results indicate structural plasticity throughout the deaf brain, indicated by a change in scalar value - generally by an increase in axial, radial and/or mean diffusivity in deaf felines compared to hearing. Grey matter regions affected in the cat include the perirhinal cortex and frontalis agranularis, and white matter tracts affected include the corpus callosum, superior longitudinal fasciculus, and more. Overall, this is the first study to examine DTI alterations following auditory deprivation in cats and it demonstrates that early-deafness incites alterations throughout the brain well beyond auditory cortex. Supported by a CIHR grant.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".