Size does not matter, but shape does : a structural neuroimaging study of the anterior cingulate cortex in acute post-traumatic stress disorder
Bibliographic record
Abstract
The neurobiological model of Post-Traumatic Stress Disorder, based upon the neurobiological model of fear-conditioning, states that the amygdala is hyperactivated, while other, inhibiting structures, like the Anterior Cingulate Cortex (ACC), are hypoactivated, therefore not fully inhibiting the amygdala. Two structural neuroimaging studies have examined the ACC volume to try to comprehend the hypoactivation of the ACC observed in subjects suffering from PTSD. Yamasue et al. (2003) found a lower grey matter density in the ACC of subjects with PTSD. Rauch et al. (2003) found a lower volume of the affective division of the ACC in subjects with PTSD compared to subjects exposed to trauma who did not suffer from PTSD. Comparing 14 subjects with Acute PTSD to 14 healthy control subjects, we replicated the results of Yamasue et al. (2003), but failed to observe any volumetric differences. Further analyses allowed us to be the first study to show that the nature of the difference observed in grey matter density was a shape difference of the ACC. Thus ACC volume does not seem to be related to Acute PTSD. Furthermore, this difference in shape raises questions as to the validity of the results of functional neuroimaging studies and of the neurobiological model of PTSD.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".