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Objective: To evaluate current theoretical assumptions about the nature of pediatric posttraumatic stress disorder (PTSD) by examining the network structure of PTSD in a sample of youth exposed to disasters and testing for age differences. Network analysis provides the opportunity to identify "central" symptoms that might hold an outsized influence over others and are important targets for research and treatment. The authors hypothesized that particular symptoms would exhibit greater influence over others. They further hypothesized marked differences in symptom networks across children and adolescents.
Method: Participants were 786 youth 8 to 13 years old (children) and 14 to 18 years old (adolescents) exposed to Hurricanes Katrina and Gustav who were assessed for PTSD symptoms using the University of California-Los Angeles PTSD Reaction Index for Children. Network models were computed and constructed using the R-package qgraph, which estimates associations between symptoms and forms graphic network models.
Results: Consistent with the hypotheses, the symptom network demonstrated meaningful variability across age, particularly in the strength of associations, and the relative importance of individual symptoms to the network as a whole. Results further demonstrated that symptoms cluster together in a manner that adds a unique perspective to current model conceptualizations.
Conclusion: Network analysis is a potentially important additional conceptualization of psychopathology with related data analytic techniques. Results suggest that PTSD can be characterized as a web of interactions between symptoms. This work illuminates differences in the PTSD symptom network across development, such as the link between numbness of negative affect and amnesia in children, but not in teens, and how the critical symptoms within that network differ across childhood and adolescence. Network analysis could allow the re-envisioning of the nature of this complex disorder with new avenues for research and clinical practice.
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http://dx.doi.org/10.1016/j.jaac.2017.05.021 | DOI Listing |
Neurotrauma Rep
August 2025
Institute of Acupuncture and Moxibustion, China Academy of Chinese Medical Sciences, Beijing, China.
Accurate differentiation between persistent vegetative state (PVS) and minimally conscious state and estimation of recovery likelihood in patients in PVS are crucial. This study analyzed electroencephalography (EEG) metrics to investigate their relationship with consciousness improvements in patients in PVS and developed a machine learning prediction model. We retrospectively evaluated 19 patients in PVS, categorizing them into two groups: those with improved consciousness ( = 7) and those without improvement ( = 12).
View Article and Find Full Text PDFFront Immunol
September 2025
Department of Thoracic Surgery, Shenzhen People's Hospital (The First Affiliated Hospital, Southern University of Science and Technology; The Second Clinical Medical College, Jinan University), Shenzhen, Guangdong, China.
Background: Lung cancer remains the leading cause of cancer-related mortality globally, primarily due to late-stage diagnosis, molecular heterogeneity, and therapy resistance. Key biomarkers such as EGFR, ALK, KRAS, and PD-1 have revolutionized precision oncology; however, comprehensive structural and clinical validation of these targets is crucial to enhance therapeutic efficacy.
Methods: Protein sequences for EGFR, ALK, KRAS, and PD-1 were retrieved from UniProt and modeled using SWISS-MODEL to generate high-confidence 3D structures.
Front Immunol
September 2025
Department of Pediatrics, Taichung Veterans General Hospital, Taichung, Taiwan.
Introduction: Human papillomavirus (HPV) infection has been implicated in autoimmune processes, yet concerns remain about the potential autoimmune risks of HPV vaccination. Juvenile idiopathic arthritis (JIA) is a chronic autoimmune condition that typically manifests in childhood. The relationship between HPV vaccination and the development of JIA remains uncertain.
View Article and Find Full Text PDFiScience
September 2025
Max Planck Institute of Psychiatry, 80804 Munich, Germany.
Isoform-specific expression patterns have been linked to stress-related psychiatric disorders such as major depressive disorder (MDD). To further explore their involvement, we constructed co-expression networks using total gene expression (TE) and isoform ratio (IR) data from affected ( = 210, 81% with depressive symptoms) and unaffected ( = 95) individuals. Networks were validated using advanced graph generation methods.
View Article and Find Full Text PDFFront Hum Neurosci
August 2025
Baptist Medical Center, Department of Behavioral Health, Jacksonville, FL, United States.
Introduction: This study investigates four subdomains of executive functioning-initiation, cognitive inhibition, mental shifting, and working memory-using task-based functional magnetic resonance imaging (fMRI) data and graph analysis.
Methods: We used healthy adults' functional magnetic resonance imaging (fMRI) data to construct brain connectomes and network graphs for each task and analyzed global and node-level graph metrics.
Results: The bilateral precuneus and right medial prefrontal cortex emerged as pivotal hubs and influencers, emphasizing their crucial regulatory role in all four subdomains of executive function.