Brain Connectomics Improve the Prediction of High-Risk Depression Profiles in the First Year following Breast Cancer Diagnosis

<div>(a) Hypothesized model for LGMM. (b) Model fittings for unconditional LGMM. (c) Bayesian posterior predictive checking scatterplots. (d) Bayesian posterior predictive checking distribution. (e) Trajectory patterns for four distinct depression trajectories.</div>

Depression and Anxiety

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Figure 2

Figure 2: Brain Connectomics Improve the Prediction of High-Risk Depression Profiles in the First Year following Breast Cancer Diagnosis 