Impaired Face Processing in Early Monocular Deprivation from Enucleation
Bibliographic record
Abstract
PURPOSE: We investigated the effects of early monocular enucleation (ME) (surgical removal of one eye) on a high-level spatial visual ability, namely face perception. Early monocular deprivation of pattern vision from disorders such as strabismus, amblyopia, or cataract is associated with impairments in low-level spatial vision. This is inconsistent with studies of early ME that show either equivalent or enhanced low-level spatial vision compared with controls. Impairments on some aspects of face perception (i.e., feature-spacing and holistic face processing, both of which mature later in life) have been found with early pattern deprivation from congenital cataract. It is not clear whether the intact low-level spatial vision with ME will also persist with high-level face perception or whether deficits similar to those found with cataract will emerge. METHODS: We tested individuals who have experienced early ME and controls on a series of high-level spatial visual tasks that measure feature-spacing, feature, and holistic face processing. RESULTS: The ME group were slower for feature spacing and feature tasks. Furthermore, the ME group did not exhibit the normal pattern of poorer performance on the aligned compared with misaligned composite face discrimination tasks, demonstrating a lack of the composite face effect. However, they did show the normal pattern of poorer performance on same vs. different trials on the aligned tasks. CONCLUSIONS: These results indicate an impairment in the feature spacing and feature aspects of face perception with ME. They also suggest a present yet, incomplete, development of holistic face processing in this group. Although the complete removal of inhibitory binocular interactions and/or the absence of binocular competition in early ME may result in cortical reorganization of the visual system and preserve low- to mid-level spatial vision, it may be insufficient for the maturation of high-level face perception.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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".