Critical slowing down as early warning for the onset and termination of depression

By Ingrid A van de Leemput, M. Wichers, A. Cramer, Denny Borsboom, Francis Tuerlinckx, Peter Kuppens, E. V. van Nes, W. Viechtbauer, E. Giltay, S. Aggen and 9 more. Proceedings of the National Academy of Sciences of the United States of America, 2013

682 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Experimental and Cognitive Psychology, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/a516c433f18ce59311fbaea5a9d1d6957bdee6f7

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Citations in the corpus

Looking at Emotion Regulation Through the Window of Emotion Dynamics (2015, background): “…2010; Suls et al., 1998), depression symptoms and diagnosis (Koval et al., 2014; Koval et al., 2012; Koval, Pe, Meers, & Kuppens, 2013; Kuppens et al., 2010), and even prospectively predicts the onset of depression across longer periods of time (Kuppens et al., 2012; van de Leemput et al., 2014).”
Mental Disorders as Causal Systems (2015, background): “Third, it may identify harbingers of relapse in recovered patients, thereby enabling rapid early intervention to prevent a full-blown episode from erupting (van de Leemput et al., 2014).”
What do centrality measures measure in psychological networks? (2019, background): “Instead, the network approach can be seen as an incentive to move more towards more complex theories and models, belonging to the field of complex system theory (van de Leemput et al., 2014; Van Der Maas et al., 2006; Van der Maas & Molenaar, 1992; Wichers, Groot, & Psychosystems, 2016).”
Network resilience (2020, background): “In addition, the average standard deviations of DNBs (S Dd) drastically increase, which coincides with the critical slowing down phenomenon [452].”
Can network analysis transform psychopathology? (2016, methodology): “An important recent development is the application of network analysis to longitudinal time series data whereby subjects use digital devices to record their mood multiple times per day over various periods of time (e.g., Bringmann et al., 2013; Wichers, 2014; van de Leemput et al., 2014).”
Micro-Level Affect Dynamics in Psychopathology Viewed From Complex Dynamical System Theory (2015, positive): “From a dynamic system point of view, these patterns may represent early warning signals that indicate risk for transition (Cramer, 2013; van de Leemput et al., 2014).”
Modeling Affect Dynamics: State of the Art and Future Challenges (2015, background): “In affective research, van de Leemput et al. (2014) considered the idea of critical slowing down before a stage transition (which is considered one of the flags of catastrophe; see van der Maas & Molenaar, 1992), and showed that autocorrelations and cross-correlations indeed increase before…”