Sex differences in neural response to an acute stressor in individuals with an alcohol use disorder
Bibliographic record
Abstract
BACKGROUND: Alcohol use disorder (AUD) and stress influence overlapping neural circuits in the brain. The literature is mixed regarding the presence of sex differences in the neural response to acute stressors, and this issue has not been examined in individuals with AUD. We validated a stress functional magnetic resonance imaging (fMRI) paradigm in individuals with AUD and tested for sex differences. METHODS: Twenty-five treatment-seeking individuals with AUD (15M/10F) were recruited to participate in the neuroimaging study linked to a clinical trial of ibudilast (NCT03594435). To assess social-evaluative stress, participants completed the Montreal Imaging Stress Task (MIST). Whole brain and amygdala region-of-interest analyses were conducted. Subjective ratings of anxiety and distress were collected. Repeated measures ANCOVAs were performed to evaluate the effect of stress on anxiety and distress and to evaluate sex differences. RESULTS: There were trend-level effects of stress on anxiety ratings and amygdala activation (p's = 0.06). There was a significant effect of stress in the bilateral thalamus, ventral tegmental area, and paracingulate (Z's > 4.09, p's < 0.03). There was a trend-level effect of sex on subjective ratings of stress (p's = 0.07). Females had higher amygdala activation in response to stress (p = 0.02). Females also had greater activation than males in the precuneus, posterior cingulate cortex, and right inferior frontal gyrus during acute stress (Z's > 3.56, p's < 0.03). CONCLUSIONS: This study provides an initial validation of the MIST in a sample of individuals with AUD. It also provides preliminary evidence of sex differences in the response to social-evaluative stress, which is important, given the relevance of stress and negative emotionality as motivators for alcohol use in females.
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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".