Investigating Tauopathy in Military Blast Exposure: A Positron Emission Tomography (PET) Study with the Tau Tracer [F-18] T807
Bibliographic record
Abstract
Background: Long-term chronic traumatic encephalopathy is suspected to occur due to repetitive exposure to low-level military blast (LLMB). This dissertation tested the hypothesis that greater exposure to LLMB in Canadian Armed Forces (CAF) members would be associated with greater tau aggregation. Methods: CAF members (n=25 males) exposed to blast overpressure completed a positron emission tomography (PET) scan using the radiotracer [F-18] T807 to quantitate tau levels, clinical questionnaires and a battery of neurocognitive tests. Results: [F-18] T807 SUVr in the temporal and whole brain cortices were positively correlated to years of breaching; taken as a measure of blast exposure. [F-18] T807 SUVr in whole brain cortices was related to depressive and post-concussive symptoms. Lastly, there was no significant association found between [F-18] T807 SUVr and cognitive function. Conclusion: Overall, findings indicate that brain tau-PET deposition in temporal and whole brain cortices are associated with dose-dependent exposure to LLMB, suggesting risk of tauopathy in individuals with high exposure.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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 | 0.000 |
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".