Cerebral atrophy as predictor of cognitive function in old, community-dwelling individuals
Bibliographic record
Abstract
OBJECTIVES: The impact of cortical and subcortical atrophy on cognitive function was examined in a sample of older community-dwelling men and women. MATERIAL AND METHODS: Magnetic resonance imaging was performed on a sample of 129 individuals [age: 68.4 +/- 3.6 years (mean +/- SD), range 64-74 years, 64 women and 65 men, Mini-Mental State Examination scores above 23] to assess cortical and subcortical atrophy. Participants also performed a number of cognitive tasks, and the measures of atrophy were used to predict performance in these tasks. RESULTS: In men, frontal cortical atrophy predicted worse performance in word fluency and the Stroop test, and occipital cortical atrophy was associated with poor performance in motor speed. In women, poor performance in motor speed was associated with subcortical atrophy at the level of the caudate nucleus. CONCLUSION: Atrophy in certain areas was associated with poor performance in specific cognitive tasks, although the amount of explained variance was rather limited in this quite homogeneous sample.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".