Attentional Control Moderates Relations Between Negative Affect and Neural Correlates of Action Monitoring in Adolescence
Bibliographic record
Abstract
This study examined the moderating role of attentional control on relations between negative affect and action monitoring event related potentials (ERPs) (error-related negativity (ERN) and N2) in a group of healthy adolescents (9 to 17 years old). These ERPs were recorded while participants completed a modified flanker task. Participants also completed the negative affect subscale of the Positive and Negative Affect Schedule for Children (PANAS-C) and the attentional control subscale of the Early Adolescent Temperament Questionnaire-Revised (EATQ-R). Regression analyses revealed negative affect by attentional control interactions, suggesting that youth high in attentional control and high in negative affect show increased N2 amplitude and a trend toward increased ERN amplitude. These findings are discussed with regard to the interface of attention and emotion processes that are implicated in action monitoring and relevance to the study of self-regulation during adolescence.
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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 | 0.002 |
| 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".