Developmental delay and magnocellular visual pathway function in very‐low‐birthweight preterm infants
Bibliographic record
Abstract
This study investigated the effect of very preterm birth (gestation < or =30wks) and very low birth weight (< or =1500g) on the development of magnocellular and parvocellular visual processing streams. Participants were preterm infants (n=55: 31 females, 24 males) born between 24 and 30 weeks'gestation (mean 27.4wks [SD 1.3]), weighing between 720 and 1470g (mean 1015g [SD 215]) and term infants (n=52: 27 females, 25 males) born between 38 and 42 weeks'gestation (mean 39.4wks [SD 0.9]), weighing between 2670 and 4405g (mean 3549g [SD 440]). Visual-evoked potentials to phase-reversing sine-wave gratings, varying in spatial frequency and contrast, were used to elicit magnocellular and parvocellular specific responses. Previous studies found that the N1 component reflects the parvocellular response, while P1 reflects the magnocellular response in adults and infants. Findings from the current study indicate significantly lower P1 amplitudes in preterm compared with term infants under most conditions. No difference was found for the amplitude of the N1 waveform. Results indicate that, for the age-range tested, preterm birth has little effect on the development of parvocellular function, while it appears to disrupt the development of magnocelluar function.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".