Exploring the underlying structure of mental disorders: cross-diagnostic differences and similarities from a network perspective using both a top-down and a bottom-up approach

Wigman, Johanna T. W.; Os, Jim van; Borsboom, Denny; Wardenaar, Klaas J.; Epskamp, Sacha; Klippel, Annelie; Viechtbauer, Wolfgang; Myin‐Germeys, Inez; Wichers, Marieke

doi:10.1017/s0033291715000331

Cited by 149 publications

(146 citation statements)

References 42 publications

(91 reference statements)

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“…Specifically, we tested a comprehensive, fully adjusted multiple multilevel moderated mediation model in a sample of controls, ARMS individuals, and FEP individuals, allowing us, at the same time, to minimize the potential impact of illness chronicity and other consequences of psychotic disorder. As such, this study advances previous research using network modeling of ESM data, [43][44][45][46] which have not yet investigated indirect effects of stress, negative affect and other psychological mechanisms in the development of PE.…”

Section: Methodological Considerationssupporting

confidence: 59%

Modeling the Interplay Between Psychological Processes and Adverse, Stressful Contexts and Experiences in Pathways to Psychosis: An Experience Sampling Study

Klippel

Myin-Germeys

Chavez-Baldini

et al. 2017

Schizophrenia Bulletin

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Several integrated models of psychosis have implicated adverse, stressful contexts and experiences, and affective and cognitive processes in the onset of psychosis. In these models, the effects of stress are posited to contribute to the development of psychotic experiences via pathways through affective disturbance, cognitive biases, and anomalous experiences. However, attempts to systematically test comprehensive models of these pathways remain sparse. Using the Experience Sampling Method in 51 individuals with first-episode psychosis (FEP), 46 individuals with an atrisk mental state (ARMS) for psychosis, and 53 controls, we investigated how stress, enhanced threat anticipation, and experiences of aberrant salience combine to increase the intensity of psychotic experiences. We fitted multilevel moderated mediation models to investigate indirect effects across these groups. We found that the effects of stress on psychotic experiences were mediated via pathways through affective disturbance in all 3 groups. The effect of stress on psychotic experiences was mediated by threat anticipation in FEP individuals and controls but not in ARMS individuals. There was only weak evidence of mediation via aberrant salience. However, aberrant salience retained a substantial direct effect on psychotic experiences, independently of stress, in all 3 groups. Our findings provide novel insights on the role of affective disturbance and threat anticipation in pathways through which stress impacts on the formation of psychotic experiences across different stages of early psychosis in daily life.

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Section: Methodological Considerationssupporting

confidence: 59%

Modeling the Interplay Between Psychological Processes and Adverse, Stressful Contexts and Experiences in Pathways to Psychosis: An Experience Sampling Study

Klippel

Myin-Germeys

Chavez-Baldini

et al. 2017

Schizophrenia Bulletin

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“…We investigated in which cases a TV-VAR model should be preferred over a standard VAR model by generating data from both models and evaluating their performances using the mean square error (MSE) and coverage probability of the 95% credibility intervals. The population parameters were based on previous studies (see, for example, Bos, Hoenders, & Jonge, 2012;Wigman et al, 2015).…”

Section: Simulation Studymentioning

confidence: 99%

Modeling Nonstationary Emotion Dynamics in Dyads using a Time-Varying Vector-Autoregressive Model

Bringmann

Ferrer

Hamaker

et al. 2018

Multivariate Behavioral Research

116

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Emotion dynamics are likely to arise in an interpersonal context. Standard methods to study emotions in interpersonal interaction are limited because stationarity is assumed. This means that the dynamics, for example, time-lagged relations, are invariant across time periods. However, this is generally an unrealistic assumption. Whether caused by an external (e.g., divorce) or an internal (e.g., rumination) event, emotion dynamics are prone to change. The semi-parametric time-varying vector-autoregressive (TV-VAR) model is based on well-studied generalized additive models, implemented in the software R. The TV-VAR can explicitly model changes in temporal dependency without pre-existing knowledge about the nature of change. A simulation study is presented, showing that the TV-VAR model is superior to the standard time-invariant VAR model when the dynamics change over time. The TV-VAR model is applied to empirical data on daily feelings of positive affect (PA) from a single couple. Our analyses indicate reliable changes in the male's emotion dynamics over time, but not in the female's-which were not predicted by her own affect or that of her partner. This application illustrates the usefulness of using a TV-VAR model to detect changes in the dynamics in a system.

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“…Alternative approaches to conceptualize psychiatric disorders, such as the network approach, do address the complexity of psychiatric disorders [100]. In this framework psychopathology is hypothesized to develop dynamically as a complex dynamic system of interacting symptoms [100][101][102][103][104], which may also shed new light on comorbidity [105]. The stronger symptoms trigger each other, the more likely a vicious circle of cooccurring symptoms will emerge [106,107] that could become a psychiatric disorder [103].…”

Section: Limitations Of Preclinical and Clinical Studiesmentioning

confidence: 99%

Gut microbiota, metabolism and psychopathology: A critical review and novel perspectives

Groen

Clercq

Nieuwdorp

et al. 2018

Critical Reviews in Clinical Laboratory Sciences

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Exploring the underlying structure of mental disorders: cross-diagnostic differences and similarities from a network perspective using both a top-down and a bottom-up approach

Cited by 149 publications

References 42 publications

Modeling the Interplay Between Psychological Processes and Adverse, Stressful Contexts and Experiences in Pathways to Psychosis: An Experience Sampling Study

Modeling the Interplay Between Psychological Processes and Adverse, Stressful Contexts and Experiences in Pathways to Psychosis: An Experience Sampling Study

Modeling Nonstationary Emotion Dynamics in Dyads using a Time-Varying Vector-Autoregressive Model

Gut microbiota, metabolism and psychopathology: A critical review and novel perspectives

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