The network structure of paranoia in the general population

V Bell, C O'Driscoll - Social psychiatry and psychiatric epidemiology, 2018 - Springer
Purpose Bebbington and colleagues' influential study on 'the structure of paranoia in the
general population'used data from the British National Psychiatric Morbidity Survey and …

Latent variable GIMME using model implied instrumental variables (MIIVs).

KM Gates, ZF Fisher, KA Bollen - Psychological methods, 2020 - psycnet.apa.org
Researchers across many domains of psychology increasingly wish to arrive at
personalized and generalizable dynamic models of individuals' processes. This is seen in …

Inter-relationships among psychopathology, premorbid adjustment, cognition and psychosocial functioning in first-episode psychosis: a network analysis approach

WC Chang, CSM Wong, PCF Or, AOK Chu… - Psychological …, 2020 - cambridge.org
BackgroundBetter understanding of interplay among symptoms, cognition and functioning in
first-episode psychosis (FEP) is crucial to promoting functional recovery. Network analysis is …

Let's open the decision-making umbrella: a framework for conceptualizing and assessing features of impaired decision making in addiction

L Rochat, P Maurage, A Heeren, J Billieux - Neuropsychology review, 2019 - Springer
Decision-making impairments play a pivotal role in the emergence and maintenance of
addictive disorders. However, a sound conceptualization of decision making as an umbrella …

Symptom networks in glioma patients: understanding the multidimensionality of symptoms and quality of life

JG Röttgering, T Varkevisser, M Gorter… - Journal of Cancer …, 2024 - Springer
Purpose To comprehend the complex relationship between symptoms and health-related
quality of life (HRQoL) in patients with diffuse glioma, we applied symptom network analysis …

Mental health, deprivation, and the neighborhood social environment: a network analysis

E McElroy, JC McIntyre, RP Bentall… - Clinical …, 2019 - journals.sagepub.com
Different aspects of the neighborhood social environment have been linked with mental ill
health; however, the mechanisms underlying these associations remain poorly understood …

The Differential Time-Varying Effect Model (DTVEM): A tool for diagnosing and modeling time lags in intensive longitudinal data

NC Jacobson, SM Chow, MG Newman - Behavior research methods, 2019 - Springer
With the recent growth in intensive longitudinal designs and the corresponding demand for
methods to analyze such data, there has never been a more pressing need for user-friendly …

Using language in social media posts to study the network dynamics of depression longitudinally

SW Kelley, CM Gillan - Nature communications, 2022 - nature.com
Network theory of mental illness posits that causal interactions between symptoms give rise
to mental health disorders. Increasing evidence suggests that depression network …

A novel approach for constructing personalized networks from longitudinal perceived causal relations

J Burger, V Andikkhash, N Jäger, T Anderbro… - … Research and Therapy, 2024 - Elsevier
Personalized networks of psychological symptoms aim to advance therapy by identifying
treatment targets for specific patients. Statistical relations in such networks can be estimated …

[HTML][HTML] Affect dynamics as predictors of symptom severity and treatment response in mood and anxiety disorders: Evidence for specificity

HG Bosley, PD Soyster, AJ Fisher - Journal for Person-Oriented …, 2019 - ncbi.nlm.nih.gov
Studies of affect dynamics in psychopathology often focus on the prediction of broad
constructs like subjective well-being and psychological health. Less is known about how …