Neural and Behavioral Correlates of Peritraumatic Dissociation in an Acutely Traumatized Sample
Bibliographic record
Abstract
OBJECTIVE: Peritraumatic dissociative responses have been identified as strong predictors of subsequent posttraumatic stress disorder development. We aimed to clarify the mechanism by which peritraumatic dissociation is related to PTSD development by exploring the neural correlates of peritraumatic dissociation during posttraumatic adjustment. METHOD: We combined a prospective questionnaire study with a neuroimaging paradigm in an acutely traumatized sample recruited from the emergency department from 2004 until 2009. 121 acutely traumatized subjects were assessed for acute stress disorder, PTSD, and dissociative symptoms at 3 time points within the first 3 months post trauma. A subsample of 21 subjects underwent a script-driven 4-Tesla functional magnetic resonance imaging scan 2 to 4 months post trauma. RESULTS: Peritraumatic dissociation predicted PTSD diagnostic status at 5-6 weeks and 3 months over and above childhood trauma (Wald = 4.035, P = .045; Wald = 4.793, P = .029, respectively). Peritraumatic dissociation scores were positively correlated with activation in the right occipital lobe, ie, the lingual (Brodmann area [BA] 18, z = 3.37), fusiform (BA 19, z = 3.64), and parahippocampal (BA 19, z = 3.25) gyri. After covariation of dissociation at the time of the scan, peritraumatic dissociation remained positively correlated with activation in the right lingual (BA 18, z = 3.21) and fusiform (BA 19, z = 3.55) gyri. CONCLUSIONS: The neuroimaging findings indicate that peritraumatic dissociation is associated with greater activation of the right occipital lobe (BAs 18 and 19), a region previously implicated in vivid autobiographical memory recall of highly emotional events. These results suggest that peritraumatic dissociation directly leads to the formation of intrusive memories. Peritraumatic dissociation and childhood trauma emerged as valuable predictors of PTSD development and therefore can guide the identification of individuals at risk.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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".