Emotional Numbing in Posttraumatic Stress Disorder
Bibliographic record
Abstract
OBJECTIVE: To explore the functional neural correlates of emotional numbing symptoms in individuals with posttraumatic stress disorder (PTSD). METHOD: The study was conducted between September 2006 and June 2008 at the University of Western Ontario. Women with (n = 14) and without (n = 16) PTSD (based on DSM-IV criteria) completed a standardized emotional imagery task while undergoing functional magnetic resonance imaging, in addition to an assessment for emotional numbing symptoms. The study design was correlational, with primary outcome measures being blood oxygenation level-dependent (BOLD) response to emotional imagery task and self-reported severity of emotional numbing symptoms. Women without PTSD were not trauma exposed. RESULTS: In women with PTSD, emotional numbing symptoms predicted less positive affect in response to positive-valence scripts (P < .05) and less BOLD response within the dorsomedial prefrontal cortex during imagery of positive and negative scripts that were explicitly socially relevant (P < .001). In contrast, in women without PTSD, emotional numbing symptoms, while unrelated to subjective emotional responses, predicted greater response within the ventromedial prefrontal cortex during positive and negative scripts, in addition to scripts that elicited fear anxiety by nonsocial means (all P values < .001). The findings could not be attributed to dysphoria. CONCLUSIONS: These findings are consistent with previous research regarding emotional numbing and emotional awareness. Less response within the medial prefrontal cortex during emotional imagery in individuals with high emotional numbing may indicate deficient conscious and reflective emotional processing. Further study is required to elucidate associations between state and trait emotional numbing and the neural correlates of psychological treatments specific to emotional numbing.
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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) | 0.001 | 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".