A5022109854- Mental Health Research Topics
- Functional Brain Connectivity Studies
- Tryptophan and brain disorders
- Complex Network Analysis Techniques
- Treatment of Major Depression
- Resilience and Mental Health
- Health, Environment, Cognitive Aging
- Health disparities and outcomes
- Schizophrenia research and treatment
- Mental Health and Psychiatry
- Monetary Policy and Economic Impact
- Opinion Dynamics and Social Influence
- Personality Disorders and Psychopathology
- Stress Responses and Cortisol
- Pain Management and Placebo Effect
- Complex Systems and Decision Making
- COVID-19 epidemiological studies
- Cognitive Abilities and Testing
- Child and Adolescent Psychosocial and Emotional Development
- demographic modeling and climate adaptation
- Graph theory and applications
- Bioinformatics and Genomic Networks
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Cognitive Science and Mapping
- Statistical Methods and Inference
University of Amsterdam
2015-2024
Centre for Mental Health
2022
University Medical Center Groningen
2014-2020
University of Groningen
2014-2020
Tilburg University
2017
Hospital General Universitario Gregorio Marañón
2016
Centro de Investigación Biomédica en Red
2016
Waldorf College
2015
Amsterdam Public Health
2015
Corning (United States)
2015
Network approaches to psychometric constructs, in which constructs are modeled terms of interactions between their constituent factors, have rapidly gained popularity psychology. Applications such network various psychological recently moved from a descriptive stance, the goal is estimate structure that pertains construct, more comparative compare structures across populations. However, statistical tools do so lacking. In this article, we present comparison test (NCT), uses resampling-based...
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...
Major depressive disorder (MDD) is a heterogeneous condition in terms of symptoms, course, and underlying disease mechanisms. Current classifications do not adequately address this complexity. In novel network approaches to psychopathology, psychiatric disorders are conceptualized as complex dynamic systems mutually interacting symptoms. This perspective implies that more densely connected symptoms indicative poorer prognosis, but, date, no previous study has examined whether structure...
Network analysis is entering fields where network structures are unknown, such as psychology and the educational sciences. A crucial step in application of models lies assessment structure. Current methods either have serious drawbacks or only suitable for Gaussian data. In present paper, we a method assessing from binary Although data infamous their computational intractability, computationally efficient model estimating structures. The approach, which based on Ising used physics, combines...
In this paper, we characterize major depression (MD) as a complex dynamic system in which symptoms (e.g., insomnia and fatigue) are directly connected to one another network structure. We hypothesize that individuals can be characterized by their own with unique architecture resulting dynamics. With respect architecture, show vulnerable developing MD those strong connections between symptoms: e.g., only night of poor sleep suffices make particular person feel tired. Such networks, when...
Childhood trauma (CT) has been identified as a potential risk factor for the onset of psychotic disorders. However, to date, there is limited consensus with respect which symptoms may ensue after exposure in early life, and whether specific pathways account these associations. The aim present study was use novel network approach investigate how different types traumatic childhood experiences relate disorders identify that be involved relationship between CT psychosis. We used data patients...
Recent literature has introduced (a) the network perspective to psychology and (b) collection of time series data capture symptom fluctuations other varying factors in daily life. Combining these trends allows for estimation intraindividual structures. We argue that networks can be directly applied clinical research practice as hypothesis generating Two computed: a temporal network, which one investigates if symptoms (or relevant variables) predict another over time, contemporaneous same...
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...
Although current classification systems have greatly contributed to the reliability of psychiatric diagnoses, they ignore unique role individual symptoms and, consequently, potentially important information is lost. The network approach, in contrast, assumes that psychopathology results from causal interplay between and focuses specifically on these their complex associations. By using a sophisticated analysis technique, this study constructed an empirically based structure 120 twelve major...
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:...
Health-Related Quality of Life (HRQoL) research has typically adopted either a formative approach, in which HRQoL is the common effect its observables, or reflective approach--defining as latent variable that determines observable characteristics HRQoL. Both approaches, however, do not take into account complex organization these characteristics. The objective this study was to introduce new approach for analyzing data, namely network model (NM). An NM, opposed traditional strategies,...
reported by Jansen et al 4 in 3-year-old children.Research suggests that impaired neuromotor development precedes schizophrenia onset, although most children with functioning do not develop schizophrenia. 2 In contrast, who later met criteria for BD exhibited a higher level of motor performance during childhood than controls. 1 Our results highlight the genetic predisposition covaries deficits observable infancy community-based sample.Given prevalence is low, these early features represent...
Abstract Background There is increasing interest in day-to-day affect fluctuations of patients with depressive and anxiety disorders. Few studies have compared repeated assessments positive (PA) negative (NA) across diagnostic groups, fluctuation patterns were not uniformly defined. The aim this study to compare a current episode or disorder, remitted controls, using instability as core concept but also describing other measures variability adjusting for possible confounders. Methods...
Psychopathology is often classified according to diagnostic categories or scale scores. These ignore potentially important information about associations between specific symptoms and, consequently, lead heterogeneous constructs that may mask relevant individual differences. Network analyses focus on these symptom associations, providing the opportunity explore complex structure of psychopathology in more detail. We examined empirical network 95 emotional and behavioral problems Youth...
Stress plays a central role in the development and persistence of psychosis. Network analysis may help to reveal mechanisms at level micro-dynamic effects between stress, other daily experiences symptomatology. This is first study examine time-lagged networks relations minor momentary affect/thoughts, psychotic experiences, potentially relevant life contexts individuals varying risk for Intensive longitudinal data were obtained through 6 studies. The combined sample consisted 654 psychosis:...
Background Major depressive disorder (MDD) and generalized anxiety (GAD) often co-occur with somatic symptomatology. Little is known about the contributions of individual symptoms to this association more insight into their relationships could help identify that are central in processes behind co-occurrence. This study explores associations between MDD/GAD by using network approach. Method were assessed 2704 participants (mean age 41.7 years, 66.1% female) from Netherlands Study Depression...
Identifying the different influences of symptoms in dynamic psychopathology models may hold promise for increasing treatment efficacy clinical applications. Dynamic study behavioral patterns symptom networks, where mutually enforce each other. Interventions could be tailored to specific that are most effective at lowering activity or hinder further development psychopathology. Simulating interventions network fits a novel tradition symptom-specific perturbations used as silico interventions....
Inspired by modeling approaches from the ecosystems literature, in this paper, we expand network approach to psychopathology with risk and protective factors arrive at an integrated analysis of resilience. We take a complexity investigate multifactorial nature resilience present system which interacting psychiatric symptoms is targeted factors. These influence symptom development patterns thereby increase or decrease probability that pulled toward healthy disorder state. In way, network....
In their recent paper, Forbes et al. (2019; FWMK) evaluate the replicability of network models in two studies. They identify considerable issues, concluding that "current 'state-of-the-art' methods psychopathology literature […] are not well-suited to analyzing structure relationships between individual symptoms". Such strong claims require evidence, which authors do provide. FWMK low by point estimates networks; contrast with results statistical tests indicate higher replicability, and...