Cross-modal plasticity in children with cochlear implant: converging evidence from EEG and fNIRS
Bibliographic record
Abstract
Abstract Over the first years of life, the brain undergoes substantial organization in response to environmental stimulation. In a silent world, it may promote vision by 1) recruiting resources from the auditory cortex and 2) making the visual cortex more efficient. It is unclear when such changes occur and how adaptive they are, questions that children with cochlear implants (CI) can help address. Here, we examined 7 to 18 years old children: 50 had CIs, with delayed or age-appropriate language abilities, and 25 had typical hearing and language. High-density electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) were used to evaluate cortical responses to a low-level visual task. Evidence for aweaker visual cortex response(in EEG) andreduced inhibition of auditory association areas(in EEG and fNIRS) in the CI children with language delays suggests that cross-modal reorganization can be maladaptive and does not necessarily strengthen the dominant visual sense.
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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) | 0.002 | 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".