TRAJECTORIES OF DISSOCIATIVE EXPERIENCES IN ADOLESCENT FEMALES EXPOSED TO CHILD MALTREATMENT: INFLUENCE OF FRONTAL EEG ASYMMETRY
Bibliographic record
Abstract
Introduction: Dissociative experiences resulting in disruptions in the integration of an organized sense of self are one consequence of childhood maltreatment, and is associated with psychopathology and maladjustment across development. Despite the consequences of dissociative experiences, we know relatively little about the physiological factors associated with the development of dissociative experiences in children exposed to maltreatment. Methods: Using a 3-wave short-term prospective design, we examined the influence of resting frontal alpha asymmetry at rest on the trajectory of dissociative experiences in a sample of adolescents exposed to documented child maltreatment (N = 55; Mage= 15.93, SDage= 1.02). Results: Adolescents with greater relative left frontal alpha asymmetry at rest exhibited increasing trajectories of dissociative experiences over one year. Discussion: Our results are discussed in the context physiological indexes of emotion dysregulation associated with dissociative experiences in youth exposed to child maltreatment.
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".