The neural underpinnings of psychological stress induced by the Montreal Imaging Stress Task: An fMRI study
Bibliographic record
Abstract
Psychological stress has widespread effects on the human body and, if not properly regulated, can significantly impair both physical and mental health. Therefore, understanding the underlying mechanisms of stress is critical for developing effective strategies for managing stress and preventing related diseases. Recent neuroimaging studies have employed the Montreal Imaging Stress Task (MIST), which uses social evaluative threat and arithmetic task performance under time pressure to elicit psychological stress. This pilot study (n = 9, all participants male) uses functional magnetic resonance imaging (fMRI) to infer on the neural underpinnings associated with psychological stress during MIST performance. During the MIST, participants were asked to perform arithmetic calculations at three different difficulty levels. First results indicate that the temporoparietal junction (TPJ), and the associated processes of mentalizing and theory of mind, play an important role in the processing of psychological stress, a finding not frequently reported in previous literature. Additionally, increased arithmetic task difficulty during psychological stress increases activation in brain regions related to goal-directed task performance, including visual, attentional and motor control areas, as well as regions implicated in social and affective processing. These findings suggest that increasing arithmetic task difficulty may enhance the MIST’s effectiveness to elicit psychological stress.
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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".