COMPARISON OF BRAIN ACTIVATION PATTERNS IN STRESS-INDUCED AND POST-STRESS RESTING STATES: NORMAL SUBJECTS
Bibliographic record
Abstract
Stress is a pervasive phenomenon with significant implications for individual well-being. Understanding the neural processes underlying stress responses and recovery is crucial for developing effective interventions. This study employed functional magnetic resonance imaging (fMRI) to investigate the brain activation patterns during stress induction and recovery in healthy adults. The Montreal Imaging Stress Task (MIST) was utilized to elicit acute stress in participants. The results revealed that during the stress task phase, the right hemisphere showed activation in the Inferior Parietal Lobule, Postcentral Gyrus, and Precuneus, while the left hemisphere demonstrated activation in the Inferior Parietal Lobule, Postcentral Gyrus, Middle Frontal Gyrus, and Superior Frontal Gyrus. Following the stress task, during the recovery phase, the right hemisphere exhibited activation in the Precuneus, Middle Occipital Gyrus, Superior Occipital Gyrus, Angular Gyrus, Medial Frontal Gyrus, Middle Frontal Gyrus, and Posterior Cingulate, whereas the left hemisphere displayed activation primarily in the Cuneus. Comparing the two phases, the left frontal lobe and occipital lobe exhibited increased activation during the rest period after stress. In contrast, the parietal lobe showed decreased activation during the recovery phase. These findings contribute to our understanding of the neural mechanisms associated with stress responses and recovery, providing insights into potential interventions for stress management and promoting well-being.
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 | 0.000 |
| 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".