Exploring Behavioral Patterns in Youth Predisposed to Bipolar Disorder and the Role of Interpersonal Trauma Using the Adolescent Brain Cognitive Development (ABCD) Dataset
Bibliographic record
Abstract
Introduction : Bipolar Disorder (BD) is a severe, persistent disorder that causes functional impairment. Besides heritability, environmental factors, such as traumatic experience, impact the development of BD. Little is known about the early developmental signs of this disorder; therefore, this study aims to look at the impact of interpersonal trauma on the early developmental signs of BD. Specifically, differences in psychopathological behaviors were investigated between (1) at-risk children to controls and (2) at-risk children who experienced an interpersonal traumatic event to those who did not. Methods : Using the Adolescent Brain Cognitive Development (ABCD) dataset, participants with a first-degree relative with BD were identified (N at-risk =625) and matched on sex and age to a control group (N control =625). The Kiddie Schedule for Affective Disorders and Schizophrenia (KSADS) was used to assess interpersonal trauma and psychopathological symptoms. The trauma (N trauma =198) and no trauma subgroups (N no trauma =428) were built from the at-risk population. Group comparison was conducted on depressive, manic, and anxiety symptoms. Results: Compared to controls, at-risk children exhibited a significantly greater number of manic symptoms at baseline, and depression and anxiety symptoms at two-year follow-up. No significant differences were found between the trauma and no-trauma groups at either baseline or follow-up. Discussion: These results confirm the presence of early symptoms in at-risk children, in line with the staging model of BD. Extended longitudinal research is needed to further investigate the potential specific role of trauma on its early behavioral patterns.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".