[IC‐P‐079]: MULTIPLE DISTINCT ATROPHY PATTERNS FOUND IN GENETIC FRONTOTEMPORAL DEMENTIA USING SUBTYPE AND STAGE INFERENCE (SUSTAIN)
Bibliographic record
Abstract
Test), motor function (UPDRS) and disease duration.Results:There was significantly increased BP ND in the basal ganglia (putamen) and the occipital lobe (cuneus) (p¼0.004 and p¼0.007, respectively: Mann-Whitney U) in DLB compared to the control group.The BP ND within the cuneus correlated positively with ACE-R scores (p¼0.017,Spearman R, r¼0.59) and negatively with disease duration (p¼0.016,Spearman R, r¼-0.59).There was no significant correlation with motor scores.Conclusions: Our results show increased [ 11 C]PK11195 binding consistent with microglial activation in brain regions known to be affected in DLB, suggesting that neuroinflammation can be demonstrated in vivo.Although its significance remains unclear, the positive correlation with ACE-R scores and negative correlation with disease duration suggests that microglial activation is elevated in early disease and diminishes in the later stages.This suggests that either inflammation is protective in DLB, or that the potential immunotherapeutic window is narrow and early in disease.References: (1) Fan Z, et al.Influence of microglial activation on neuronal function in Alzheimer's and Parkinson's disease dementia.
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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 | 0.005 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".