Critical slowing down as early warning for the onset and termination of depression
van de Leemput, Ingrid A × Wichers, Marieke Cramer, Angélique O J Borsboom, Denny Tuerlinckx, Francis Kuppens, Peter van Nes, Egbert H Viechtbauer, Wolfgang Giltay, Erik J Aggen, Steven H Derom, Cathérine Jacobs, Nele Kendler, Kenneth S van der Maas, Han L J Neale, Michael C Peeters, Frenk Thiery, Evert Zachar, Peter Scheffer, Marten #
National Academy of Sciences
Proceedings of the National Academy of Sciences of the United States of America vol:111 issue:1 pages:87-92
About 17% of humanity goes through an episode of major depression at some point in their lifetime. Despite the enormous societal costs of this incapacitating disorder, it is largely unknown how the likelihood of falling into a depressive episode can be assessed. Here, we show for a large group of healthy individuals and patients that the probability of an upcoming shift between a depressed and a normal state is related to elevated temporal autocorrelation, variance, and correlation between emotions in fluctuations of autorecorded emotions. These are indicators of the general phenomenon of critical slowing down, which is expected to occur when a system approaches a tipping point. Our results support the hypothesis that mood may have alternative stable states separated by tipping points, and suggest an approach for assessing the likelihood of transitions into and out of depression.