Disrupted socio-emotional neural circuitry in adolescents with borderline personality traits
Bibliographic record
Abstract
Background: Disruptions in fronto-limbic functional connectivity have been reported in adults with borderline personality disorder (BPD), although it is not yet known whether functional circuitry is similarly altered in adolescents with high levels of BPD traits. Methods: Using magnetoencephalography (MEG), the current study investigated task-dependent functional connectivity of eight a priori regions of interest implicated in emotional and social processing during the implicit perception of emotional faces (angry and happy), in 8 female adolescents with BPD traits and 8 age-matched female controls. Results: A network comprising reduced alpha-band phase synchrony during implicit angry face perception was observed in adolescents with BPD traits compared to controls. The network involved brain regions within a fronto-limbic circuit, including connections among bilateral amygdalae and bilateral anterior cingulate cortex (ACC), and additional regions implicated in emotion processing. Conclusions: Results suggest that disrupted interregional oscillatory communication during the perception of threatening emotional expressions might contribute to the socio-emotional dysregulation and maladaptive behavioral responses commonly found in adolescents high in BPD traits. Furthermore, we speculate that this aberrant neural connectivity subserves the emergence of the disorder in adults.
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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) | 0.001 | 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".