The role of resting frontal EEG asymmetry in psychopathology: Afferent or efferent filter?
Bibliographic record
Abstract
Resting EEG asymmetry evident early in life is thought to bias affective behaviors and contribute to the development of psychopathology. However, it remains unclear at what stage of information processing this bias occurs. Asymmetry may serve as an afferent filter, modulating emotional reactivity to incoming stimuli; or as an efferent filter, modulating behavioral response tendencies under emotional conditions. This study examines 209 kindergarten children (M = 6.03 years old) to test predictions put forth by the two models. Resting asymmetry was examined in conjunction with electrodermal and cardiac measures of physiological reactivity to four emotion-inducing film clips (fear, sad, happy, anger) and teacher ratings of psychopathology. Results confirm an association between increased right side cortical activation and internalizing symptom severity as well as left activation and externalizing symptom severity. Significant interactions between resting asymmetry and physiological reactivity to emotion indicate that physiological reactivity moderates the association between resting asymmetry and symptoms of psychopathology.
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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 | 0.001 | 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".