Borsboom and colleagues have recently proposed a "network theory" of psychiatric disorders that conceptualizes psychiatric disorders as relatively stable networks of causally interacting symptoms. They have also claimed that the network theory should include non-symptom variables such as environmental factors. How are environmental factors incorporated in the network theory, and what kind of explanations of psychiatric disorders can such an "extended" network theory provide? The aim of this article is to critically examine what explanatory strategies the network theory that includes both symptoms and environmental factors can accommodate. We first analyze how proponents of the network theory conceptualize the relations between symptoms and between symptoms and environmental factors. Their claims suggest that the network theory could provide insight into the causal mechanisms underlying psychiatric disorders. We assess these claims in light of network analysis, Woodward's interventionist theory, and mechanistic explanation, and show that they can only be satisfied with additional assumptions and requirements. Then, we examine their claim that network characteristics may explain the dynamics of psychiatric disorders by means of a topological explanatory strategy. We argue that the network theory could accommodate topological explanations of symptom networks, but we also point out that this poses some difficulties. Finally, we suggest that a multilayer network account of psychiatric disorders might allow for the integration of symptoms and non-symptom factors related to psychiatric disorders and could accommodate both causal/mechanistic and topological explanations.
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http://dx.doi.org/10.3389/fpsyg.2021.623970 | DOI Listing |
Adv Sci (Weinh)
January 2025
Department of Molecular Pharmacology, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin's Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute & Hospital, Tianjin, 300060, China.
Efficient virtual screening methods can expedite drug discovery and facilitate the development of innovative therapeutics. This study presents a novel transfer learning model based on network target theory, integrating deep learning techniques with diverse biological molecular networks to predict drug-disease interactions. By incorporating network techniques that leverage vast existing knowledge, the approach enables the extraction of more precise and informative drug features, resulting in the identification of 88,161 drug-disease interactions involving 7,940 drugs and 2,986 diseases.
View Article and Find Full Text PDFJ Health Organ Manag
January 2025
Department of Health Business Administration, Fooyin University, Kaohsiung, Taiwan.
Purpose: This study aims to build a typology of patient-driven health services innovation (PDHSI) and propose their relationships with healthcare quality.
Design/methodology/approach: Guided by value co-creation theory (VCC), this study adopted in-depth interviews and focus groups to collect qualitative data in Taiwan's health services sector. The collected data were analyzed using manual thematic analysis, following the standard procedures for transcribing, encoding and identifying themes.
Appl Neuropsychol Child
January 2025
Department of Psychology and Neuroscience Center, Brigham Young University, Provo, USA.
Chronic stage neuropsychological assessments of children with severe TBI typically center around a referral question and focus on assessing cognitive, behavioral, and emotional functioning, making differential diagnoses, and planning treatment. When severe TBI-related neurological deficits are subtle and fall outside commonly assessed behavioral indicators, as can happen with theory of mind and social information processing, they can go unobserved and subsequently fail to be assessed. Additionally, should chronic stage cognitive, behavioral, and emotional assessment findings fall within the average to above average range, a child experiencing ongoing significant unassessed severe TBI-related subtle deficits could be mistakenly judged to have "recovered" from their injury; and to be experiencing no significant ongoing residual neurological deficits.
View Article and Find Full Text PDFJ Phys Chem A
January 2025
Center for Satellite Application on Environment, Ministry of Ecology and Environment, Beijing 100094, China.
The edge structures of carbonaceous materials exhibit temperature-dependent behavior on the atomic scale, with variations in the relative ratios of zigzag, reconstructed 5-7 zigzag (ZZ57), and armchair edges observed at different temperatures. Nevertheless, the mechanisms underlying the interconversion of these edge structures and the influence of the surrounding metals remain unclear. This study investigates the reconstruction and reversible transformation processes of ZZ57 edge structures in carbon materials and examines the effects of different metal atoms (Na, K, and Ca) by using density functional theory.
View Article and Find Full Text PDFNPJ Comput Mater
January 2025
Theory and Simulation of Materials (THEOS), and National Centre for Computational Design and Discovery of Novel Materials (MARVEL), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
Density-functional theory with extended Hubbard functionals (DFT + + ) provides a robust framework to accurately describe complex materials containing transition-metal or rare-earth elements. It does so by mitigating self-interaction errors inherent to semi-local functionals which are particularly pronounced in systems with partially-filled d and f electronic states. However, achieving accuracy in this approach hinges upon the accurate determination of the on-site and inter-site Hubbard parameters.
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