P4‐303: COGNITIVE FUNCTION AND TRACTOGRAPHY OF WHITE MATTER TRACTS CROSSING HYPERINTENSITIES IN ELDERLY PERSONS
Bibliographic record
Abstract
There is clinical need for magnetic resonance imaging (MRI) measures of white matter hyperintenstity (WMH) severity that relate to performance on neuropsychological testing. This study used diffusion tensor imaging (DTI) tractography to determine if there was an association between the integrity of tracts crossing WMH and cognitive function. Brain T2 fluid attenuated inversion recovery-weighted (FLAIR) and diffusion tensor MRI scans were acquired in thirty-four persons with and without dementia, 60 of age or older. All subjects completed a battery of neuropsychological tests including Trails in seconds, Wechsler Memory Scale-III Longest span backwards and Longest span forward, Stroop test and California Verbal Learning Test Long delay free recall. Dementia was diagnosed following the NINCDS-ADRDA criteria. Tractography was generated by the Fiber Assignment by Continuous Tracking method. WMH were identified on T2 FLAIR scans. The fractional anisotropy (FA) and mean diffusivity (MD) were quantified for all the tracts that crossed WMH (WMH-tract). We studied the association between performance on a battery of cognitive tests with WMH-tract FA and MD while controlling for age, sex, dementia diagnosis and total volume of WMH. There was a statistically significant association between MoCA scores and the MD of WMH-tracts (regression coefficient: 14060, 95% CI: 1 788 to 26 320, n=34, p=0.03) as well as between performance on the Wechsler Memory Scale-III Longest span forward and the MD of WMH-tracts (coefficient: -12940, 95% CI: -22 940 to -2 934, n=24, p=0.01). There was no association, however, between the MoCA scores and the FA of WMH-tracts (coefficient: -15.57, 95% CI: -39.81 to 8.67, n= 34, p= 0.20) or focused attention and FA of WMH-tracts (Longest span forward test, coefficient: 10.19, 95% CI: -12.40 to 32.77, n=24, p=0.36). This study demonstrated a novel correlation between the MD of WMH-tracts and cognitive function. The mean diffusivity of tracts crossing WMH represents a novel measure of WMH burden. In the elderly population with a high prevalence of WMH, DTI tractography could become helpful in triaging patients for further cognitive testing.
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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) | 0.002 | 0.001 |
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".