Changes in Viewing Behaviour in Healthy Aging and Amnestic Mild Cognitive Impairment
Bibliographic record
Abstract
Memory-related viewing behavior is diminished in older adults, and lacking in amnesic cases who have reduced integrity of the medial temporal lobe (MTL), including the hippocampus, a region involved in memory. Given the link between viewing behavior and memory, the present study investigates perturbations in eye movements as a consequence of declining MTL integrity with normal and abnormal aging. Younger adults, healthy older adults, and older adults with amnestic mild cognitive impairment (aMCI) participated in a scene viewing task in which they freely viewed images presented on the screen as their eye movements were monitored. Amnestic MCI is typically associated with volume declines in the MTL, specifically the hippocampus, and is associated with subjective and objective cognitive impairment. Therefore, this group may provide key understanding of how eye movements are perturbed due to abnormal aging. We analyzed eye movement metrics to quantify the manner and extent of scene exploration. A multivariate analysis, partial least squares (PLS), was used to test if the three groups differed on the eye movement metrics. PLS results revealed that the pattern of viewing for aMCI adults was associated with more gaze fixations, more saccades, more regions sampled, yet their effective area of exploration was limited (i.e., lower root mean square deviation), saccade amplitude was lower, and viewing entropy was higher. The opposite pattern was expressed by younger adults; older adults did not express either pattern. These results demonstrate that, even in the absence of an overt memory task, patterns of eye movements recorded during free viewing can be used to differentiate groups with varying integrity of memory-related brain regions. Such findings suggest that eye movements may reveal disturbances in the moment-to-moment formation of representations in memory.
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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 | 0.000 |
| 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".