Methodological and Statistical Practices of Using Symptom Networks to Evaluate Mental Health Interventions: A Review and Reflections
The network approach to psychopathology, which assesses associations between individual
symptoms, has recently been applied to evaluate treatments for mental disorders. While …
symptoms, has recently been applied to evaluate treatments for mental disorders. While …
Predicting the outcome of psychotherapy for chronic depression by person‐specific symptom networks
Psychotherapies are efficacious in the treatment of depression, albeit only with a moderate
effect size. It is hoped that personalization of treatment can lead to better outcomes. The …
effect size. It is hoped that personalization of treatment can lead to better outcomes. The …
[HTML][HTML] Network analyses of ecological momentary emotion and avoidance assessments before and after cognitive behavioral therapy for anxiety disorders
LE Meine, M Müller-Bardorff, D Recher… - Journal of anxiety …, 2024 - Elsevier
Negative emotions and associated avoidance behaviors are core symptoms of anxiety.
Current treatments aim to resolve dysfunctional coupling between them. However, precise …
Current treatments aim to resolve dysfunctional coupling between them. However, precise …
What time-varying network models based on functional analysis tell us about the course of a patient's problem
Background: Relations among psychological variables are assumed to be complex and to
vary over time. Personalized networks can model multivariate complex interactions. The …
vary over time. Personalized networks can model multivariate complex interactions. The …
Temporal Dynamics Between Depression and Anxiety Symptoms During Internet-Based Therapy and in the General Population
Symptoms of depression and anxiety frequently co-occur, but traditional discrete-time
models fail to capture their causal interactions. To explore the dynamic relationship between …
models fail to capture their causal interactions. To explore the dynamic relationship between …
[PDF][PDF] Time-varying continuous-time models
Continuous-time modeling has become a cornerstone in psychological research for
analyzing longitudinal data, traditionally focusing on time-stable dynamics. However, the …
analyzing longitudinal data, traditionally focusing on time-stable dynamics. However, the …
[HTML][HTML] Early change in specific depression symptoms and later outcome in internet-delivered psychotherapy for depression: A cohort study and cross-lagged network …
F Johansson, O Flygare, J Bäckman… - Journal of Affective …, 2025 - Elsevier
Background Symptom reduction occurring early in depression treatment is associated with
favourable post-treatment outcome, but it is not known how early reduction in specific …
favourable post-treatment outcome, but it is not known how early reduction in specific …
Network structure of functional somatic symptoms
A Litzenburger, Y Rothacher, KU Hanusch… - Journal of …, 2025 - Elsevier
Objective The overlap among functional somatic syndromes (FSS) is substantial, which is
why various empirical attempts at an improved understanding of related symptoms have …
why various empirical attempts at an improved understanding of related symptoms have …
Features and Differences in Core Symptom Clusters in Home‐Based Hospice Patients With Advanced Cancer: A Network Analysis
Y Wei, W Cheng, Y Lu, Z Zhu, G Xu, H Wu… - Cancer …, 2024 - Wiley Online Library
Introduction Patients with terminal‐stage cancer frequently experience multiple symptoms
simultaneously. Little is known about how core symptom clusters differ in advanced‐cancer …
simultaneously. Little is known about how core symptom clusters differ in advanced‐cancer …
[HTML][HTML] Network analysis of fatigue symptoms in Chinese patients with advanced cancer
H Hu, Y Zhao, H Luo, Y Hao, P Wang, L Yu… - Asia-Pacific Journal of …, 2025 - Elsevier
Objective This study was aimed at investigating the network structures of fatigue symptoms
in patients with advanced cancer, with a focus on identifying the central symptom—an …
in patients with advanced cancer, with a focus on identifying the central symptom—an …