A5072520929- Mental Health Research Topics
- Functional Brain Connectivity Studies
- Tryptophan and brain disorders
- Complex Network Analysis Techniques
- Child and Adolescent Psychosocial and Emotional Development
- Mental Health and Psychiatry
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Treatment of Major Depression
- Mental Health Treatment and Access
- Schizophrenia research and treatment
- Health disparities and outcomes
- Personality Disorders and Psychopathology
- Resilience and Mental Health
- Health, Environment, Cognitive Aging
- Digital Mental Health Interventions
- Behavioral Health and Interventions
- COVID-19 and Mental Health
- Maternal Mental Health During Pregnancy and Postpartum
- Stress Responses and Cortisol
- Cognitive Abilities and Testing
- Psychological Well-being and Life Satisfaction
- Posttraumatic Stress Disorder Research
- Bioinformatics and Genomic Networks
- Health Systems, Economic Evaluations, Quality of Life
- Identity, Memory, and Therapy
Leiden University
2018-2025
University of Amsterdam
2016-2024
Maastricht University
2024
Neurobehavioral Systems
2023
University of California, Los Angeles
2023
Czech Academy of Sciences, Institute of Psychology
2023
Icahn School of Medicine at Mount Sinai
2022
Macquarie University
2022
James J. Peters VA Medical Center
2022
University of Minnesota
2022
The usage of psychological networks that conceptualize behavior as a complex interplay and other components has gained increasing popularity in various research fields. While prior publications have tackled the topics estimating interpreting such networks, little work been conducted to check how accurate (i.e., prone sampling variation) are estimated, stable interpretation remains similar with less observations) inferences from network structure (such centrality indices) are. In this...
Recent years have seen an emergence of network modeling applied to moods, attitudes, and problems in the realm psychology. In this framework, psychological variables are understood directly affect each other rather than being caused by unobserved latent entity. tutorial, we introduce reader estimating most popular model for data: partial correlation network. We describe how regularization techniques can be used efficiently estimate a parsimonious interpretable structure data. show perform...
In recent years, network analysis has been applied to identify and analyse patterns of statistical association in multivariate psychological data. these approaches, nodes represent variables a data set, edges pairwise conditional associations between the data, while conditioning on remaining variables. This Primer provides an anatomy techniques, describes current state art discusses open problems. We relevant structures which may be applied: cross-sectional repeated measures intensive...
Since the introduction of mental disorders as networks causally interacting symptoms, this novel framework has received considerable attention. The past years have resulted in over 40 scientific publications and numerous conference symposia workshops. Now is an excellent moment to take stock network approach: What are its most fundamental challenges, what potential ways forward addressing them? After a brief conceptual introduction, we first discuss challenges theory: (1) validity approach...
Researchers have studied psychological disorders extensively from a common cause perspective, in which symptoms are treated as independent indicators of an underlying disease. In contrast, the causal systems perspective seeks to understand importance individual and symptom-to-symptom relationships. current study, we used network analysis examine relationships between among depression anxiety perspective.
In this article, we define questionable measurement practices (QMPs) as decisions researchers make that raise doubts about the validity of measures, and ultimately study conclusions. Doubts arise for a host reasons, including lack transparency, ignorance, negligence, or misrepresentation evidence. We describe scope problem focus on how transparency is part solution. A makes it impossible to evaluate potential threats internal, external, statistical-conclusion, construct validity. demonstrate...
The growing literature conceptualizing mental disorders like posttraumatic stress disorder (PTSD) as networks of interacting symptoms faces three key challenges. Prior studies predominantly used (a) small samples with low power for precise estimation, (b) nonclinical samples, and (c) single samples. This renders network structures in clinical data, the extent to which replicate across data sets, unknown. To overcome these limitations, present cross-cultural multisite study estimated...
Previous studies have established that scores on Major Depressive Disorder scales are correlated with measures of impairment psychosocial functioning. It remains unclear, however, whether individual depressive symptoms vary in their effect impairment, and if so, what the magnitude these differences might be. We analyzed data from 3,703 depressed outpatients first treatment stage Sequenced Treatment Alternatives to Relieve Depression (STAR*D) study. Participants reported severity 14 symptoms,...
Passive social media use (PSMU)-for example, scrolling through news feeds-has been associated with depression symptoms. It is unclear, however, if PSMU causes symptoms or vice versa. In this study, 125 students reported PSMU, symptoms, and stress 7 times daily for 14 days. We used multilevel vector autoregressive time-series models to estimate (a) contemporaneous, (b) temporal, (c) between-subjects associations among these variables. More time spent on was higher levels of interest loss,...
Spousal bereavement can cause a rise in depressive symptoms.This study empirically evaluates 2 competing explanations concerning how this causal effect is brought about: (a) traditional latent variable explanation, which loss triggers depression then leads to symptoms; and (b) novel network directly affects particular symptoms activate other symptoms.We used data from the Changing Lives of Older Couples (CLOC) compared symptomatology, assessed via 11-item Center for Epidemiologic Studies...
In depression research, symptoms are routinely assessed via rating scales and added to construct sum-scores. These scores used as a proxy for severity in cross-sectional differences sum-scores over time taken reflect changes an underlying construct. To allow such interpretations, must (a) measure single construct, (b) that the same way across time. requirements referred unidimensionality measurement invariance. We investigated these 2 large prospective studies (combined n = 3,509) which...
Statistical network models describing multivariate dependency structures in psychological data have gained increasing popularity. Such comparably novel statistical techniques require specific guidelines to make them accessible the research community. So far, researchers provided tutorials guiding estimation of networks and their accuracy. However, there is currently little guidance determining what parts analyses results should be documented a scientific report. A lack such reporting...
Background For diagnostic purposes, the nine symptoms that compose DSM-5 criteria for major depressive disorder (MDD) are assumed to be interchangeable indicators of one underlying disorder, implying they should all have similar risk factors. The present study investigates this hypothesis, using a population cohort shifts from low elevated depression levels. Method We assessed MDD criterion (using Patient Health Questionnaire; PHQ-9) and seven factors (personal family history, sex, childhood...
The applied social science literature using factor and network models continues to grow rapidly. Most work reads like an exercise in model fitting, falls short of theory building testing three ways. First, statistical theoretical are conflated, leading invalid inferences such as the existence psychological constructs based on models, or recommendations for clinical interventions models. I demonstrate this inferential gap a simulation: excellent fit does little corroborate theory, regardless...
In this paper, we define questionable measurement practices (QMPs) as decisions researchers make that raise doubts about the validity of measures, and ultimately study conclusions. Doubts arise for a host reasons including lack transparency, ignorance, negligence, or misrepresentation evidence. We describe scope problem focus on how transparency is part solution. A makes it impossible to evaluate potential threats internal, external, statistical conclusion, construct validity. demonstrate...
Forbes, Wright, Markon, and Krueger (2017) stated that "psychopathology networks have limited replicability" (p. 1011) "popular network analysis methods produce unreliable results" 1011). These conclusions are based on an assessment of the replicability four different models for symptoms major depression generalized anxiety across two samples; in addition, Forbes et al. analyzed stability within samples using split-halves. Our reanalysis same data with led to results directly opposed theirs:...