Interpersonal context and desired emotional closeness in neural response to negative visual stimuli: Preliminary findings
Bibliographic record
Abstract
INTRODUCTION: Emotions typically emerge in interpersonal contexts, but the neural circuitry involved remains insufficiently understood. Two key features of interpersonal contexts are interpersonal interactions (e.g., supportive physical touch serving as a form of social regulation) and interpersonal traits. Social regulation research has predominately focused on fear by using physical threat (i.e., electric shock) as the stimulus. Given that social regulation helps with various negative emotions in the real world, using visual stimuli that elicit negative emotions more broadly would also be beneficial. Differing from trait loneliness-which is related to lower recruitment of social circuitry in negative socioaffective contexts-trait desired emotional closeness is related to adaptive outcomes and may demonstrate an opposite pattern. This study investigated the roles of social regulation and desired emotional closeness in neural response to aversive social images. METHODS: Ten pairs of typically developing emerging adult friends (N = 20; ages 18-25) completed a functional magnetic resonance imaging (fMRI) handholding task. Each friend viewed negative and neutral social images in the scanner under two conditions: (a) holding their friend's hand and (b) having their friend in the room. RESULTS: Handholding attenuated response to aversive social images in a region implicated in emotion and inhibitory control (right dorsal striatum/anterior insula/ventrolateral prefrontal cortex). Desired emotional closeness was positively associated with response to aversive social images (in the no handholding condition) in self and social processing (right ventral posterior cingulate cortex) and somatosensory regions (right postcentral gyrus). DISCUSSION: These findings extend previous research on the roles of interpersonal behaviors and tendencies in neural response to aversive stimuli.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".