ADRD-related divergences in HC and DN subregions for mode 2 and the associated phenome-wide profile.
Bibliographic record
Abstract
<p>Shown here are ADRD-related subregion divergences for mode 2 for the HC (leftmost panel) and DN (central panel). We identified 10 HC hits, most of them located in the left hemisphere. The strongest HC divergences were observed for the presubiculum, hippocampal fissure, and CA2/3. We found corresponding DN hits in posterior midline structure (posterior cingulate cortex and restrosplenial cortex), the dorsomedial prefrontal cortex, and the posterior and temporal cortices. In males and females separately, we regressed <i>APOE</i> dosage on HC and DN co-variation patterns from mode 2. We then used these sex-specific models to predict <i>APOE</i> dosage based on inter-individual expressions of mode 2. The right panel displays the Miami plot for the correlations between <i>APOE</i> scores in the context of mode 2 and the portfolio of UKB phenotypes for males (upper half) and females (lower half). We found significant associations with the fluid intelligence battery that were unique to males. Data underlying this figure can be found at <a href="https://github.com/dblabs-mcgill-mila/HCDMNCOV_AD/tree/master/Miami_Plots" target="_blank">https://github.com/dblabs-mcgill-mila/HCDMNCOV_AD/tree/master/Miami_Plots</a> (DOI: <a href="https://doi.org/10.5281/zenodo.7126809" target="_blank">10.5281/zenodo.7126809</a>). ADRD, Alzheimer’s disease and related dementia; CA, cornu amonis; DG, granule cell layer of the dentate gyrus; dmPFC, dorsomedial prefrontal cortex; DN, default network; FDR, false discovery rate correction; HC, hippocampus; IPL, inferior parietal lobule; MTS, middle temporal sulcus; PrS, presubiculum; PCC, posterior cingulate cortex; RSC, retrosplenial cortex; STS, superior temporal sulcus.</p> <p>(TIFF)</p>
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.097 | 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 teacher head, 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".