This analysis demonstrates a pooled ‘large-scale analysis’ using Big NIBS data. Findings provide proof of principle that pooled analyses can identify patterns in data and sources of variability that individual, single-site studies cannot.
Information
PTSD data were sourced from five previously published clinical trials on the therapeutic effect of TMS on PTSD symptoms. Below we have collated and analysed all of these individual participant data across the studies, providing an average overall effect of the TMS on PTSD symptoms, and demonstrating the factors that account for variability in individual patient response. This is a small number of studies so results should be treated with caution.
Methods
Data were analysed as per the method described in detail in Corp et al. (2020, 2021). Briefly, mixed-effects linear regression analysed IVs that could explain the DV of symptom improvement % after a clinical rTMS intervention (higher % = symptom improvement). Mixed-model regression preserves the nesting of participants within studies, given that it is inappropriate to analyse individual-participant data as if they all came from a single study.
Studies analysed

Average Effect of rTMS on PTSD Symptoms


Active TMS Regression Model - Factors That Matter

Factors That Matter - Marginal Means
