P4–246: Precuneus volumes and cognitive tests in older adults
Bibliographic record
Abstract
We investigated the relationship between the Precuneus volumes (part of the Default Mode Network, DMN) and cognitive scores, including scores of verbal memory, in older and younger adults to assess possible functional differences among age groups. High resolution anatomical scans were acquired with a T1-weighted, 3D MP-RAGE sequence in 30 older adults (21 cognitively normal and 9 patients with Mild Cognitive Impairment, MCI) mean age 71.5 years and in 12 younger adults, mean age 23 years. Full cognitive testing had been administered to all subjects within 1–3 weeks of the MRI. The cognitive testing included: California Verbal Learning Test (CVLT), Montreal Cognitive Assessment (MoCA), Mini-Mental State Exam (MMSE) and Stroop test. Manual Precuneus segmentation followed described anatomical guidelines, marked in the sagittal plane and then segmented in the coronal plane. Precuneus volumes were normalized by total intracranial volume (ICV). Pearson correlations were used to analyze the relation between Precuneus volumes and cognitive scores. Patients with MCI had significantly lower cognitive scores and Precuneus volumes compared to the cognitively normal older control group and to the younger group. Among the 30 older participants t here were highly significant correlations between the right Precuneus and the CVLT short and long delay free and cued recall scores (SDFR r=0.636, p<0.0001; SDCR r=0.593, p<0.001; LDFR r=0.551. p<0.005; LDCR r=0.634, p<0.0001) and with the CVLT Learning Slope (LS) (r=0.67, p<0.0001). The left Precuneus correlated only with the CVLT LS (r=0.49, p<0.01). There were also significant correlations between the Stroop, MoCA and MMSE scores and the right and left Precuneus volumes (p<0.01 to p<0.0001) among the older population. There was no correlation between Precuneus volumes and any of the cognitive scores in the younger population. The volume of the right Precuneus appears to be related to scores of verbal memory in older adults but not in younger adults. Selective attention and scores of general cognitive function are also related to right and left Precuneus volumes in older adults but not in younger adults. This may explain lack of deactivation of the Precuneus during task performance among older adults.
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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".