98%
921
2 minutes
20
The network model of psychopathology suggests that central and bridge symptoms represent promising treatment targets because they may accelerate the deactivation of the network of interactions between the symptoms of mental disorders. However, the evidence confirming this hypothesis is scarce. This study re-analyzed a convenience sample of 51 cross-sectional psychopathological networks published in previous studies addressing diverse mental disorders or clinically relevant problems. In order to address the hypothesis that central and bridge symptoms are valuable treatment targets, this study simulated five distinct attack conditions on the psychopathological networks by deactivating symptoms based on two characteristics of central symptoms (degree and strength), two characteristics of bridge symptoms (overlap and bridgeness), and at random. The differential impact of the characteristics of these symptoms was assessed in terms of the magnitude and the extent of the attack required to achieve a maximum impact on the number of components, average path length, and connectivity. Only moderate evidence was obtained to sustain the hypothesis that central and bridge symptoms constitute preferential treatment targets. The results suggest that the degree, strength, and bridgeness attack conditions are more effective than the random attack condition only in increasing the number of components of the psychopathological networks. The degree attack condition seemed to perform better than the strength, bridgeness, and overlap attack conditions. Overlapping symptoms evidenced limited impact on the psychopathological networks. The need to address the basic mechanisms underlying the structure and dynamics of psychopathological networks through the expansion of the current methodological framework and its consolidation in more robust theories is stressed.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6849493 | PMC |
http://dx.doi.org/10.3389/fpsyg.2019.02448 | DOI Listing |
J Neural Transm (Vienna)
September 2025
Department of Psychology, Sapienza University of Rome, Rome, Italy.
Unwanted intrusive thoughts play a key role in the onset, maintenance, and relapse of stress-related psychopathological conditions and are usually accompanied by a physiological fight-or-flight response. However, the mechanisms underlying the persistence of this maladaptive process remain unclear. This study employed a multimodal approach, integrating proton magnetic resonance spectroscopy, resting-state functional connectivity, and heart rate monitoring, to investigate gamma-aminobutyric acid (GABA) and glutamate-mediated neurometabolism during intrusive thinking, alongside central and peripheral autonomic nervous system activity.
View Article and Find Full Text PDFJ Neurosci
September 2025
Faculty of Psychology, Southwest University, Chongqing, China
While the hyper- and hypo- reward or punishment sensitivities (RS, PS) have received considerable attention as prominent transdiagnostic features of psychopathology, the lack of an overarching neurobiological characterization currently limits their early identification and neuromodulation. Here we combined microarray data from the Allen Human Brain Atlas with a multimodal fMRI approach to uncover the neurobiological signatures of RS and PS in a discovery-replication design (N=655 healthy participants, 442 Females). Both RS and PS were mapped separately in the brain, with the functional connectome in the fronto-striatal network encoding reward responsiveness, while the fronto-insular system was particularly engaged in punishment sensitivity.
View Article and Find Full Text PDFSSM Popul Health
September 2025
Department of Adolescent and Young Adult Psychiatry, Institut Mutualiste Montsouris, 75014 Paris, France.
Background: The COVID-19 pandemic has significantly affected the mental health of young adults, particularly those facing socioeconomic hardship. Although psychological distress appears to be declining in the general population post-pandemic, vulnerable subgroups remain at elevated risk. Network analysis offers a transdiagnostic approach to understanding the dynamic interplay of depressive and anxiety symptoms over time.
View Article and Find Full Text PDFPsychiatry Clin Psychopharmacol
August 2025
Department of Psychiatry, Leiden University Medical Center (LUMC), Leiden, the Netherlands.
Addressing the spectrum of mental health requires innovative methods. Network theory views psychopathological symptoms as complex dynamic systems, potentially allowing for the identification of better monitoring and intervention targets. This article advocates for the Dynamic Time Warping (DTW) algorithm to construct symptom networks, building on two recent studies on Post-Traumatic Stress Disorder (PTSD).
View Article and Find Full Text PDFJ Affect Disord
August 2025
Department of Counseling Psychology, Hannam University, Daejeon, Republic of Korea. Electronic address:
Depressive disorder is a prevalent mental illness that exhibits distinct symptom profiles across life stages. This study examined age-related differences in core psychopathological symptoms and network structures among individuals with depressive disorders, using the Minnesota Multiphasic Personality Inventory-2 (MMPI-2). A total of 524 patients aged 18-65 years were stratified into four age groups: late adolescence (18-25), early adulthood (26-35), mid-adulthood (36-50), and late mid-adulthood (51-65).
View Article and Find Full Text PDF