Insights about age of language exposure and brain development : a voxel-based morphometry approach
Bibliographic record
Abstract
Early language experience is thought to be essential to develop a high level of linguistic proficiency in adulthood. Impoverished language input during childhood has been found to lead to functional changes in the brain. In this study, we explored if delayed exposure to a first language modulates the neuroanatomical development of the brain. To do so, voxel-based morphometry (VBM) was carried out in a group of congenitally deaf individuals varying in the age of first exposure to American Sign Language (ASL). To explore a secondary question about the effect of auditory deprivation on structural brain development, a second VBM analysis compared deaf individuals to matched hearing controls. The results show that delayed exposure to sign language is associated with a decrease in grey-matter concentration in the visual cortex close to an area found to show functional reorganization related to delayed exposure to language, while auditory deprivation is associated with a decrease in white matter in the right primary auditory cortex. These findings suggest that a lack of early language experience alters the anatomical organization of the brain.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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".