P‐128: Selective attention in cognitively normal older adults and patients with amnestic mild cognitive impairment and mild Alzheimer's disease: Evaluation of cognitive tests of frontal function and saccadic eye movements
Bibliographic record
Abstract
While episodic memory impairments are at the core of Alzheimer's disease (AD), recent evidence has accumulated for early deficits in selective attention (focusing on a single relevant stimulus while inhibiting distracting stimuli). A diminished inhibitory system appears to contribute to selective attention deficits in mild AD; however, the role of selective attention is unknown in patients with amnestic Mild Cognitive Impairment (MCI). Regardless of a conversion to AD, evaluating selective attention is important in differentiating normal- and abnormal age-related attentional deficits. While several cognitive tests assess frontal function [Stroop Neuropsychological Inventory Test (Stroop) and Wisconsin Card Sorting Test (WCST)], saccadic eye movements (SEM; series of rapid eye movements in changing the point of fixation) also provide for a means to investigate age-related changes in frontal lobe systems. SEM may be automatic (eye movement made toward a visible stimulus-a prosaccade) or they can be generated voluntarily (eye movement away from a visible stimulus-an antisaccade). To analyze the relationship between scores of cognitive tests of frontal function and SEM in cognitively normal older adults and in patients with MCI and mild AD. Thirty-five cognitively normal older adults (mean ± SD age, 73.74 ± 5.67), eighteen MCI patients (78.11 ± 7.04), and fourteen mild AD patients (75.64 ± 6.02) completed the Stroop and WCST. Participants also performed one block (120 trials) of pro-saccades and two blocks (240 trials) of anti-saccades. Spearman correlations were performed to assess the relationship between cognitive test scores and SEM parameters (reaction time and direction errors). In cognitively normal older adults, a higher Stroop score significantly correlated with shorter reaction time (r=-.358, p=.038) and fewer direction errors (r=-.443, p=.010). A higher Stroop score significantly correlated with shorter reaction time in patients with MCI (r=-.558, p=.031) and mild AD (r=-.602, p=.038). These results show significant correlations between cognitive tests of frontal function and SEM parameters in cognitively normal older adults and in patients with MCI and mild AD. Measures of attention (Stroop and SEM scores) appear to be intact in cognitively normal older adults, yet impaired in patients with MCI and mild AD.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 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".