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.

Cite items from this project

cite all items