Magnetic Resonance Imaging and Magnetic Resonance Spectroscopy Study of Deficits in Hippocampal Structure in Fire Victims with Recent-Onset Posttraumatic Stress Disorder
Bibliographic record
Abstract
OBJECTIVE: To explore hippocampal structural abnormalities in fire victims with recent-onset posttraumatic stress disorder (PTSD). METHOD: We compared 12 patients with recent-onset PTSD diagnosed according to DSM-IV criteria 6 to 8 months after a major fire with 12 individuals without PTSD who were victims of the same fire accident. Voxel-based morphometry (VBM) and magnetic resonance spectroscopy (MRS) were combined to examine hippocampal structural abnormalities in patients with recent-onset PTSD. RESULTS: Results of VBM showed that the grey matter density of the left hippocampus was lower in the group with PTSD than it was in the group without PTSD. Results of MRS showed that the ratio of N-acetyl asparate and creatine in the left hippocampus was significantly lower in patients with PTSD than in control subjects. CONCLUSION: Patients with recent-onset PTSD had hippocampal structural abnormalities.
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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 | 0.001 | 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) | 0.001 | 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".