The network theory, as outlined in D. Borsboom's seminal paper in this journal1, postulates
that mental disorders may be viewed as emergent phenomena from complex systems, in …

Aims Thyroid dysfunction and metabolic disturbances are common in major depressive
disorder (MDD) patients. We aimed to assess the relationship between thyroid dysfunction …

Personalized networks of psychological symptoms aim to advance therapy by identifying
treatment targets for specific patients. Statistical relations in such networks can be estimated …

BackgroundDepression is associated with metabolic alterations including lipid
dysregulation, whereby associations may vary across individual symptoms. Evaluating these …

Minor-attracted persons (MAPs; ie, people who are sexually interested in children and
adolescents below the age threshold of legal consent for sexual activity) exhibit high …

It has been reported that cumulative measures of risk factors for psychosis might help to
predict its development. However, it remains unknown as to whether these measures are …

Abstract eHealth tools usage is vital for health care systems and increased significantly after
the COVID-19 pandemic, which aggravated mental health issues. This cross-sectional study …

Network psychometrics uses graphical models to assess the network structure of
psychological variables. An important task in their analysis is determining which variables …

Importance Improved understanding of the boundaries and connections between positive
symptoms, negative symptoms, and role functioning in schizophrenia is critical, given limited …

Introduction Psychological, socio-demographics, and clinical factors play an important role
in patients with COVID-19, but their relationship is complex. The network approach might be …