A5038403882- Mental Health Research Topics
- Functional Brain Connectivity Studies
- Complex Network Analysis Techniques
- Behavioral Health and Interventions
- Complex Systems and Time Series Analysis
- Digital Mental Health Interventions
- Cognitive Science and Mapping
- Heart Rate Variability and Autonomic Control
- Forecasting Techniques and Applications
- Suicide and Self-Harm Studies
- Mental Health and Psychiatry
- Advanced Causal Inference Techniques
- Innovation Diffusion and Forecasting
- Respiratory viral infections research
- Data Analysis with R
- International Environmental Law and Policies
- Cellular Automata and Applications
- Social and Intergroup Psychology
- Health disparities and outcomes
- Psychosomatic Disorders and Their Treatments
- Time Series Analysis and Forecasting
- Health, Environment, Cognitive Aging
- Ecosystem dynamics and resilience
- Spatial and Panel Data Analysis
- Decision-Making and Behavioral Economics
University Medical Center Utrecht
2022-2025
Oklahoma State University Center for Health Sciences
2024
Utrecht University
2017-2024
University of Amsterdam
2019
University of California, Merced
2017
University of Limerick
2014
Nostalgia is a frequently experienced complex emotion, understood by laypersons in the United Kingdom and States of America to (a) refer prototypically fond, self-relevant, social memories (b) be more pleasant (e.g., happy, warm) than unpleasant sad, regretful). This research examined whether people across cultures conceive nostalgia same way. Students 18 countries 5 continents (N = 1,704) rated prototypicality 35 features nostalgia. The samples showed high levels agreement on rank-order...
In recent years, a growing chorus of researchers has argued that psychological theory is in state crisis: Theories are rarely developed way indicates an accumulation knowledge. Paul Meehl raised this very concern more than 40 years ago. Yet the ensuing decades, little improved. We aim to chart better path forward for by revisiting Meehl’s criticisms, his proposed solution, and reasons solution failed meaningfully change status theory. argue identified serious shortcomings our evaluation...
Comorbidity between depressive and anxiety disorders is common. A hypothesis of the network perspective on psychopathology that comorbidity arises due to interplay symptoms shared by both disorders, with overlapping acting as so-called bridges, funneling symptom activation clusters each disorder. This study investigated this testing whether (i) two mental states "worrying" "feeling irritated" functioned bridges in dynamic state networks individuals depression compared either disorder alone,...
This study aims to identify the timescale of suicidal thinking, leveraging real-time monitoring data and a number different analytic approaches. Participants were 105 adults with past week thoughts who completed 42-d (total observations = 20,255). two forms assessments: traditional assessments (spaced hours apart each day) high-frequency 10 min over 1 h). We found that thinking changes rapidly. Both descriptive statistics Markov-switching models indicated elevated states lasted on average 3...
The cross-lagged panel model (CLPM), a discrete-time (DT) SEM model, is frequently used to gather evidence for (reciprocal) Granger-causal relationships when lacking an experimental design. However, it well known that CLPMs can lead different parameter estimates depending on the time-interval of observation. Consequently, this researchers drawing conflicting conclusions regarding sign and/or dominance relationships. Multiple authors have suggested use continuous-time models address issue.In...
One of the promises experience sampling methodology (ESM) is that a statistical analysis an individual's emotions, cognitions and behaviors in everyday-life could be used to identify relevant treatment targets. A requisite for clinical implementation outcomes such person-specific time-series analyses are not wholly contingent on researcher performing them. To evaluate this, we crowdsourced one individual patient's ESM data 12 prominent research teams, asking them what symptom(s) they would...
The network theory of psychopathology posits that mental disorders are complex systems mutually reinforcing symptoms. This overarching framework has proven highly generative but does not specify precisely how any specific disorder operates as such a system. We address this gap in the literature by developing Panic Disorder and formalizing computational model. first review prior psychological research on order to identify its core components well plausible causal relations among those...
Over the past decade there has been a surge of empirical research investigating mental disorders as complex systems. In this paper, we investigate how to best make use growing body and move field toward its fundamental aims explaining, predicting, controlling psychopathology. We first review contemporary philosophy science literature on scientific theories argue that fully achieving explanation, prediction, control requires construct formal disorders: expressed in language mathematics or...
Idiographic modeling is rapidly gaining popularity, promising to tap into the within-person dynamics underlying psychological phenomena. To gain theoretical understanding of these dynamics, we need make inferences from time series models about system. Such are subject two challenges: first, will arguably always be misspecified, meaning it unclear how system; and second, sampling frequency must sufficient capture interest. We discuss both problems with following approach: specify a toy model...
Formulae display:?Mathematical formulae have been encoded as MathML and are displayed in this HTML version using MathJax order to improve their display. Uncheck the box turn off. This feature requires Javascript. Click on a formula zoom.
The ability to measure emotional states in daily life using mobile devices has led a surge of exciting new research on the temporal evolution emotions. However, much potential these data still remains untapped. In this paper, we reanalyze emotion measurements from seven openly available experience sampling methodology studies with total 835 individuals systematically investigate modality (unimodal, bimodal, and more than two modes) skewness within-person measurements. We show that both...
In recent years, a growing chorus of researchers have argued that psychological theory is in state crisis: theories are rarely developed way indicates an accumulation knowledge and they often absent from our research entirely. More than 40 years ago, Paul Meehl raised these very concerns. Yet, the ensuing decades, little has improved. We aim to chart better path forward for by revisiting Meehl's criticisms, his proposed solution, reasons solution failed meaningful change status theory. argue...
Network analysis of ESM data has become popular in clinical psychology. In this approach, discrete-time (DT) vector auto-regressive (VAR) models define the network structure with centrality measures used to identify intervention targets. However, VAR suffer from time-interval dependency. Continuous-time (CT) have been suggested as an alternative but require a conceptual shift, implying that DT-VAR parameters reflect total rather than direct effects. paper, we propose and illustrate CT...
Time series analysis is increasingly popular across scientific domains. A key concept in time stationarity, the stability of statistical properties a series. Understanding stationarity crucial to addressing frequent issues such as consequences failing model non-stationarity, how determine mechanisms generating and consequently those (i.e. by differencing or detrending). However, many empirical researchers have limited understanding which can lead use incorrect research practices misleading...
Time series analysis is increasingly popular across scientific domains. A key concept in time stationarity, the stability of statistical properties a series. Understanding stationarity crucial to addressing frequent issues such as consequences failing model non-stationarity, how determine mechanisms generating and consequently those (i.e., by differencing or detrending). However, many empirical researchers have limited understanding which can lead use incorrect research practices misleading...
Background: Assessing the real-world safety of preventive products against respiratory syncytial virus (RSV) in pregnant women holds significant public health implications, especially as vaccination programs become more widespread. This generic protocol describes a post-authorisation study (PASS) to evaluate RSV using target trial emulation framework. Methods: protocol, adapted from an ongoing PASS, is designed framework vaccine women. Emulating conditions have ability minimise confounding...
Abstract Prior research suggests that second language (L2) proficiency is key in students’ study progress, but this has mainly been carried out at universities. It thus unclear how relation varies across different educational levels. Moreover, previous studies are often not informative about the causality of relation, making it difficult to base intervention policies on these studies. To address shortcomings, we analyze a large historical registry dataset examinees L2 Dutch state exam...
Most theories of emotion suggest that emotions are reactions to situations we encounter in daily life. Process further specify a feedback loop between our environment, attention, emotions, and action clarifies the adaptive nature emotions. In principle, such process describe how develop life, consequently, measures collected from individuals many times day studies using Experience Sampling Methodology (ESM) should be highly useful advancing these theories. However, current predominantly...
Statistical network models based on Pairwise Markov Random Fields (PMRFs) are popular tools for analyzing multivariate psychological data, in large part due to their perceived role generating insights into causal relationships: a practice known as discovery the modelling literature. However, since not presented tools, they play is poorly understood among empirical researchers. In this paper we provide treatment of how PMRFs such Gaussian Graphical Model (GGM) work using Directed Acyclic...
One of the promises experience sampling methodology (ESM) is that it could be used to identify relevant targets for treatment, based on a statistical analysis an individual’s emotions, cognitions and behaviors in everyday-life. A requisite clinical implementation outcomes person-centered analyses are not wholly contingent researcher performing them. To evaluate how much researchers vary their analytical approach what degree choices, we crowdsourced one individual patient’s ESM data 12...