Neural Correlates and Predictive Power of Trait Resilience in an Acutely Traumatized Sample
Bibliographic record
Abstract
OBJECTIVE: Resilience refers to the ability to thrive despite adversity and is defined as a multidimensional phenomenon, spanning internal locus of control, sense of meaning, social problem-solving skills, and self-esteem. We aimed to investigate the predictive value of resilience for the development of posttraumatic stress disorder (PTSD) and to examine the neural correlates mediating the relationship between resilience and recovery from a traumatic event in acutely traumatized subjects. We hypothesized that resilience would mediate the relationship between childhood trauma and posttraumatic recovery. METHOD: We conducted a prospective study with 70 acutely traumatized subjects with DSM-IV PTSD recruited at the emergency department, assessing PTSD symptom severity at 3 time points within the first 3 months posttrauma. Scores for childhood trauma as assessed with the Childhood Trauma Questionnaire and trait resilience as assessed with the Connor-Davidson Resilience Scale were used as predictors of symptom severity. A subsample of 12 subjects additionally underwent a functional 4 Tesla magnetic resonance imaging scan 2 to 4 months posttrauma. We employed the traumatic script-driven imagery paradigm to assess the correlations between trait resilience and blood oxygen level-dependent (BOLD) response. The study was conducted from 2003 to 2007. RESULTS: Resilience predicted PTSD symptom severity at 5 to 6 weeks (β = -0.326, P = .01) as well as at 3 months (β = -0.423, P = .003) posttrauma better than childhood trauma. Resilience essentially mediated the relationship between childhood trauma and posttraumatic adjustment. Resilience scores were positively correlated with BOLD signal strength in the right thalamus as well as the inferior and middle frontal gyri (Brodmann area 47). CONCLUSIONS: This pilot investigation revealed a significant relationship between resilience and emotion regulation areas during trauma recall in an acutely traumatized sample. Resilience was established as a significant predictor of PTSD symptom severity and mediated the influence of childhood trauma on posttraumatic adjustment.
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 | 0.002 |
| 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 | 0.000 |
| 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".