Empirical validation of a predicted emotional modulation dimension linking temporal variability and individual differences in PTSD

Across seven longitudinal and two cross-sectional PTSD cohorts, hierarchical multi-group PCA recovered shared latent axes where uPC2 captures symptom imbalance linked to temporal variability and individual differences.

• Why it matters: Dimensional models often explain between-person differences, but it is unclear whether within-person symptom dynamics follow the same organizing dimensions in PTSD.
• What they did: The study applied PCA separately to between-individual variability and within-individual temporal variability, then integrated cohort covariance via hierarchical multi-group PCA to derive universal axes (uPC1/uPC2).
• The result: CPT and EMDR showed comparable reductions in overall severity (uPC1) but opposite shifts along symptom imbalance (uPC2), enabling severity-insensitive treatment stratification based on imbalance dynamics.

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