Major depression as a complex dynamic system (accepted for publication in PLoS ONE)
Published on by Angélique Cramer
This project concerns a paper that was recently accepted for publication in PLoS ONE. In the paper we characterize major depression (MD) as a complex dynamic system in which symptoms (e.g., insomnia and fatigue) are directly connected to one another in a network structure. We present a simulation study in which we model the probability of a symptom becoming 'active' over time as a logistic function of the activity of its neighboring symptoms. With this model we show, among other things, that individuals vulnerable to developing MD are those with strong connections between symptoms.