Changes in infant emotion regulation following maternal cognitive behavioral therapy for postpartum depression
Bibliographic record
Abstract
BACKGROUND: Exposure to maternal postpartum depression (PPD) increases the risk for emotion regulatory and psychiatric problems in offspring. This study aimed to determine if maternal cognitive behavioral therapy (CBT) for PPD improves infant emotion regulatory capacity. METHODS: Participants were 40 infants of mothers with a primary diagnosis of major depressive disorder matched 1:1-40 healthy control infants of nondepressed mothers on infant age, sex, and socioeconomic status. Mothers with PPD received nine weeks of group CBT. Dyads were tested at two time points. Visit 1 occurred following the first CBT session (baseline visit for control infants). Visit 2 took place after CBT (nine weeks post-baseline for controls). At both visits, infant emotion regulation was assessed using resting-state frontal electroencephalography alpha asymmetry (FAA), heart rate variability (HRV), and maternal and partner ratings of orientation or regulation behaviors (infant behavior questionnaire-revised [short form]). Changes in maternal characteristics (depression, bonding, and emotion regulation) from pretreatment to posttreatment were examined to determine if they explained infant changes. RESULTS: At Visit 1, infants of women with PPD exhibited poorer emotion regulation relative to the healthy control infants. At Visit 2, following maternal PPD treatment, infants exhibited improved emotion regulation (shifted from right to left FAA [p = .01, d = 0.60], increased HRV [p = .003, d = 0.56], mother [p = .015, d = 0.29] and partner [p = .049, d = 0.35] reported orientation or regulation behaviors) such that they no longer differed from the healthy control infants. Changes in maternal characteristics did not appear to account for these changes. CONCLUSION: Treating PPD may promote adaptive changes in physiological and behavioral systems underlying infant emotion regulation.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".