Fig. 1: Data analysis flowchart.
From: Genetic risk-dependent brain markers of resilience to childhood Trauma
a Longitudinal cohorts included in the study. b Distinct functional networks were identified as candidate networks whose adaptive responses to angry faces may indicate resilience, using sparse non-negative matrix factorisation (sNMF) applied to brain responses to angry faces. c Genetic risk-dependent brain markers of resilience (GRBMR) were identified by testing a three-way interaction among childhood trauma, PRSMDD and candidate networks (shown in b) in relation to emotional symptoms at age 19, analysed separately for boys and girls. The error bands denote 95% confidence intervals around the regression lines. d The predictive utility of GRBMR was assessed using machine learning models. e Generalisability of the prediction was evaluated across developmental stages and in an independent dataset.
