In this theoretical review, the neurodevelopmental model of psychotic disorders is considered within the framework of ontological development, referring to the individual-level construction of a sense of reality regarding identity and worldview. Following Erikson's theory of development, the challenge of forging a personal and social identity is a developmental process typical of late adolescence and early adulthood. Accompanying this process is a developmentally normal increase in exploratory and risk-taking behavior, which sometimes includes challenging and defying cultural norms. Although many aspects of ontological adaptation are developmentally appropriate, we argue that psychopathology such as psychosis can be rooted in an abnormal deviation of this process, in which aberrant salience accelerates the typical drive to develop a meaningful sense of identity, leading to delusion formation. By placing psychosis onset within a broader context of normal development, this model offers a humanistic approach for understanding experiences of new onset of psychotic disorders.
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http://dx.doi.org/10.1097/NMD.0000000000001602 | DOI Listing |
J Aging Stud
December 2024
NIHR Policy Research Unit in Health and Social Care Workforce, The Policy Institute, King's College London, Virginia Woolf Building, 22 Kingsway, London WC2B 6LE, UK. Electronic address:
Home, as a physical place and psychological construct, is often thought of as being an important locus of ontological security across the life course. However, there is a growing awareness of a darker side to the home (see Gurney, 2021), and home-unmaking practices (see Baxter and Brickell, 2014) that challenge the assumptions of home being purely a place of shelter, comfort, and control and instead foreground the temporal, material, and spatial fluidity of the home, and tensions between privacy and the ability to engage in health-harming behaviours largely unnoticed. Here, a material gerontological approach enables a rethinking of how home, and the household objects contained within, can both promote and undermine well-being as we age.
View Article and Find Full Text PDFInteract J Med Res
November 2024
Sustainable Communication Technologies, SINTEF Digital, OSLO, Norway.
Background: Patient pathways (PPs) are presented as a panacea solution to enhance health system functions. It is a complex concept that needs to be described and communicated well. Modeling plays a crucial role in promoting communication, fostering a shared understanding, and streamlining processes.
View Article and Find Full Text PDFBioinform Biol Insights
September 2024
Department of Computer Science and Engineering, Islamic University, Kushtia, Bangladesh.
Owing to the recent emergence of COVID-19, there is a lack of published research and clinical recommendations for posttraumatic stress disorder (PTSD) risk factors in patients who contracted or received treatment for the virus. This research aims to identify potential molecular targets to inform therapeutic strategies for this patient population. RNA sequence data for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and PTSD (from the National Center for Biotechnology Information [NCBI]) were processed using the GREIN database.
View Article and Find Full Text PDFThis article presents experience in construction the National Unified Terminological System (NUTS) with an ontological structure based on international Unified Medical Language System (UMLS). UMLS has been adapted and enriched with formulations from national directories, relationships, extracted from the texts of scientific articles and electronic health records, and weight coefficients.
View Article and Find Full Text PDFStud Health Technol Inform
August 2024
Pirogov Russian National Research Medical University, Russia.
This article presents our experience in development an ontological model can be used in clinical decision support systems (CDSS) creating. We have used the largest international biomedical terminological metathesaurus the Unified Medical Language System (UMLS) as the basis of our model. This metathesaurus has been adapted into Russian using an automated hybrid translation system with expert control.
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