Larger amygdala volumes after childhood trauma associated with depression and cortisol response to psychosocial stress in adulthood
Bibliographic record
Abstract
Background : Childhood trauma is a major risk factor for the development of affective disorders later in life. We sought to determine whether this risk is linked to neurostructural changes in limbic brain regions after childhood trauma. Methods :We recruited 49 medically healthy adult women (28.2±7.1 years of age) from the Atlanta area to include women with/without childhood trauma and with/without major depression (MDD). Childhood trauma exposure was quantified using the Childhood Trauma Questionnaire (CTQ).Lifetime and current diagnoses of MDD and posttraumatic stress disorder (PTSD) were assessed using the Structured Clinical Interview for DSM-IV (SCID). Current depressive symptoms were assessed using the Hamilton Rating Scale for Depression (HAM-D). Magnetic resonance images were acquired, preprocessed, and registered into stereotactic space. Volume analyses of the left and right amygdala were performed using the interactive software package DISPLAY developed at the Brain Imaging Center of the Montreal Neurological Institute, and a standardized segmentation protocol was applied to outline the anatomical boundaries of the amygdala. Total plasma cortisol responses to the Trier Social Stress Test (TSST) were measured. Results : When stratifying groups by childhood trauma exposure and MDD, women with both childhood trauma and MDD had largest right amygdala volumes compared to all other groups (interaction effect: F=6.172, p= 0.017). Correlational analyses revealed that higher CTQ scores were associated with larger left (r=0.31, p<0.05) and right (r=0.31, p<0.05) amygdala volumes. These correlations remained significant when controlling for age, race, and lifetime diagnoses of MDD and PTSD. Higher CTQ scores were associated with current depression scores (r=0.30, p<0.05), which in turn were positively associated with the size of the right amygdala volume (r=0.32, p<0.05). Finally, the size of the left amygdala was associated with increased cortisol response to the TSST (15 min post TSST: r= 0.44, p< 0.05, 30 min post TSST: r= 0.436, p< 0.05). A similar trend was observed for the right amygdala. Conclusions : These findings add to the growing understanding of the neurobiological basis that may underlie the association between early adverse experience, stress vulnerability, and increased risk for affective disorders.
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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 | 0.000 | 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) | 0.002 | 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".