Flair MRI Biomarkers of the Normal Appearing Brain Matter are Related to Cognition
Bibliographic record
Abstract
A novel biomarker panel was proposed to quantify macro and microstructural biomarkers from the normal-appearing brain matter (NABM) in multi-centre fluid-attenuation inversion recovery (FLAIR) MRI. The hypothesis was that NABM biomarkers from FLAIR MRI are related to cognition as determined by the Montreal Cognitive Assessment (MoCA). ANOVA analysis of seven biomarkers revealed significant differences between the means for three of the biomarkers in the cross-sectional and four biomarkers for all-data approaches, across all cognitive groups (p<0.01). An adjusted ANCOVA model found significant relationships between MoCA categories dependent on age and sex for four biomarkers exclusively in the all-data approach. Furthermore, quantification of microstructural changes was performed based on correlation analysis through diffusion MRI (dMRI), with up to r=0.87 (p<0.01) correlation to mean diffusivity (MD). These biomarkers demonstrate that structural differences in the NABM in FLAIR MRI are associated with cognition and that they have high potential for clinical translation.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".