Negative affect moderates the effect of social rejection on frontal and anterior cingulate cortex activation in borderline personality disorder
Bibliographic record
Abstract
Patients with borderline personality disorder (BPD) have a heightened sensitivity to social exclusion. Experimental manipulations have produced inconsistent findings and suggested that baseline negative affect (NA) might influence the experience of exclusion. We administered a standardized social exclusion protocol (Cyberball paradigm) in BPD (n = 39) and age-matched and sex-matched healthy controls (n = 29) to investigate the association of NA on social exclusion and activation in brain regions previously implicated in this paradigm. Compared with controls, patients with BPD showed higher activation during social exclusion in the anterior cingulate cortex (ACC), the medial prefrontal cortex (mPFC), and in the right precuneus. Prescan NA ratings were associated with higher brain activation in the ACC and mPFC over all conditions, and post hoc t tests revealed that differences between the groups were only significant when controlling for NA. Brain activation during exclusion was correlated with NA separately for each group. Only BPD patients showed a significant association of NA and exclusion related precuneus activation (r = .52 p = .001). Additionally, BPD patients experienced less feelings of belonging compared with a healthy control (HC) group during inclusion and exclusion, although they estimated their ball possessions significantly higher than did the HC. These findings suggest that baseline NA has a crucial impact on Cyberball-related brain activation. The results underscore the importance of considering levels of NA in social exclusion protocols for participants high in this trait.
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 | 0.001 |
| 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) | 0.001 | 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".