Trait level somatic arousal modulates fMRI neural synchrony to naturalistic stimuli
Bibliographic record
Abstract
Abstract Somatic arousal refers to the physiological and bodily responses that occur in reaction to different emotional and psychological stimuli and is a crucial component of the fight or flight response. Symptoms associated with higher levels of somatic arousal such as higher heart and respiration rates have been shown to impact the blood oxygenation level dependent (BOLD) signal during functional magnetic resonance imaging (fMRI) studies. Differences in baseline levels of somatic arousal may therefore modulate the brain’s response to incoming stimuli during fMRI. Previous studies typically investigate somatic arousal as a state, rather than as a trait, in which some individuals are more likely to have heightened physiological responses to psychological stimuli, causing the neurological mechanisms behind baseline somatic arousal levels to remain poorly understood. The current study seeks to identify how differing levels of baseline somatic arousal modulate neural synchrony in response to an audiovisual film. We hypothesize that individuals with higher levels of somatic arousal will show overall heightened neural synchrony in response to a complex audiovisual stimulus. We identified that higher levels of somatic arousal are associated with widespread neural synchrony across the brain, including frontal gyri, parietal and temporo-occipital cortices. Taken together, this research suggests that baseline somatic arousal levels should be measured during naturalistic fMRI paradigms, as baseline somatic arousal levels may have a profound influence on synchronous neural activity.
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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".