Rising early warning signals in affect associated with future changes in depression: a dynamical systems approach

JE Curtiss, D Mischoulon, LB Fisher, C Cusin… - Psychological …, 2023 - cambridge.org
Background Predicting future states of psychopathology such as depressive episodes has
been a hallmark initiative in mental health research. Dynamical systems theory has …

[HTML][HTML] Early warning signals based on momentary affect dynamics can expose nearby transitions in depression: A confirmatory single-subject time-series study

M Wichers, AC Smit, E Snippe - Journal for person-oriented …, 2020 - ncbi.nlm.nih.gov
Background In complex systems early warning signals such as rising autocorrelation,
variance and network connectivity are hypothesized to anticipate relevant shifts in a system …

Critical slowing down in momentary affect as early warning signal of impending transitions in depression

AC Smit, MA Helmich, LF Bringmann, AJ Oldehinkel… - 2022 - research.rug.nl
Based on dynamical systems theory, the current study aimed to investigate if recurrence of
depression is systematically preceded by within-person early warning signals (EWS) in …

Detecting impending symptom transitions using early-warning signals in individuals receiving treatment for depression

MA Helmich, AC Smit, LF Bringmann… - Clinical …, 2023 - journals.sagepub.com
Drawing on dynamical systems theory, we investigated whether within-persons-detected
early-warning signals in momentary affect preceded critical transitions toward lower levels of …

[HTML][HTML] Critical slowing down as a personalized early warning signal for depression

M Wichers, PC Groot, ESM Psychosystems… - Psychotherapy and …, 2016 - karger.com
The etiology of mental disorders such as major depression (MD) involves continuously
ongoing gene-environment interactions that act in highly person-specific ways. This …

[HTML][HTML] Time-Varying Network Models for the Temporal Dynamics of Depressive Symptomatology in Patients With Depressive Disorders: Secondary Analysis of …

BS Siepe, C Sander, M Schultze, A Kliem… - JMIR Mental …, 2024 - mental.jmir.org
Background As depression is highly heterogenous, an increasing number of studies
investigate person-specific associations of depressive symptoms in longitudinal data …

Depressive symptoms as a heterogeneous and constantly evolving dynamical system: Idiographic depressive symptom networks of rapid symptom changes among …

MD Nemesure, AC Collins, GD Price… - … and clinical science, 2024 - psycnet.apa.org
Major depressive disorder (MDD) is conceptualized by individual symptoms occurring most
of the day for at least two weeks. Despite this operationalization, MDD is highly variable with …

Towards precision in the diagnostic profiling of patients: leveraging symptom dynamics as a clinical characterisation dimension in the assessment of major depressive …

OV Ebrahimi, D Borsboom, RHA Hoekstra… - The British Journal of …, 2024 - cambridge.org
BackgroundInternational guidelines present overall symptom severity as the key dimension
for clinical characterisation of major depressive disorder (MDD). However, differences may …

[HTML][HTML] Understanding personalized dynamics to inform precision medicine: a dynamic time warp analysis of 255 depressed inpatients

K Hebbrecht, M Stuivenga, T Birkenhäger, M Morrens… - BMC medicine, 2020 - Springer
Background Major depressive disorder (MDD) shows large heterogeneity of symptoms
between patients, but within patients, particular symptom clusters may show similar …

Exploring the idiographic dynamics of mood and anxiety via network analysis.

AJ Fisher, JW Reeves, G Lawyer… - Journal of abnormal …, 2017 - psycnet.apa.org
Individual variation is increasingly recognized as important to psychopathology research.
Concurrently, new methods of analysis based on network models are bringing new …