Introduction aux réseaux de symptômes en psychopathologie

Gauld, Christophe

doi:10.1051/medsci/2020016

Cited by 3 publications

(3 citation statements)

References 39 publications

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“…The CS-C value should be at least 0.25 and preferably higher than 0.5 for reliable results. Statistical significance was attributed only when zero was not included within the 1000-bootstrap 95% non-parametric CIs during bootstrapped difference tests used for evaluating variations in network characteristics [26]. To determine whether there existed a noticeable distinction between two edge weights or two node centrality indices, a test was conducted using 95% CIs.…”

Section: Discussionmentioning

confidence: 99%

Network Analysis of Depression Levels in Adolescents with Non-suicidal Self-injury

Zhu,

2024

LNEP

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Adolescence is a critical developmental period characterized by a notable increase in the prevalence of depression and self-harming behaviors. Thus, understanding their interplay is crucial for intervention and prevention strategies. This study uses network analysis to investigate the characteristics of the depressive symptom network in non-suicidal self-injury among adolescents and identify potential intervention targets. Between June 2023 and October 2023, a total of 171 non-suicidal self-injury adolescents were recruited. The Chinese version of the Center for Epidemiologic Studies Depression Scale was used to assess depressive symptoms. Statistical analysis and visualization of the network were conducted using the R software. In order to make quantitative research on the depressive symptom network structure, indicators of closeness, strength, and betweenness were utilized to identify symptoms that play a central role in the net work. Network analysis unveiled a group of central nodes with significant influence, assuming pivotal roles in the network. The symptoms of felt sad, thought life as a failure, could not get going, felt that everything I did was an effort were central to the network. Furthermore, this network exhibited good stability and accuracy of edge weights. The findings from this study not only advance peoples comprehension of the connection between non-suicidal self-injury and depression in adolescents but also provide new insights for future intervention strategies. This research underscores the need for comprehensive approaches to address this intricate issue, offering guidance for precise interventions and clinical practices.

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Section: Discussionmentioning

confidence: 99%

Network Analysis of Depression Levels in Adolescents with Non-suicidal Self-injury

Zhu,

2024

LNEP

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“…The differences between the two strength indices were deemed statistically significant only when the 1000-bootstrap 95% non-parametric CIs did not include zero. Bootstrapped difference tests were used to assess variations in network characteristics ( 28 ). To evaluate whether there was a significant difference between the two edge weights or two node centrality indices, the test used 95% CIs.…”

Section: Methodsmentioning

confidence: 99%

Network analysis of somatic symptoms in Chinese patients with depressive disorder

Jia

Cao

et al. 2023

Front. Public Health

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IntroductionNetwork theory conceptualizes somatic symptoms as a network of individual symptoms that are interconnected and influenced by each other. In this conceptualization, the network's central symptoms have the strongest effect on other symptoms. Clinical symptoms of patients with depressive disorders are largely determined by their sociocultural context. To our knowledge, no previous study has investigated the network structure of somatic symptoms among Chinese patients with depressive disorders. The aim of this study was to characterize the somatic symptoms network structure in patients with depressive disorders in Shanghai, China.MethodA total of 177 participants were recruited between October 2018 and June 2019. The Chinese version of the Patient Health Questionnaire-15 was used to assess somatic symptoms. In order to quantify the somatic symptom network structure, indicators of “closeness,” “strength,” and “betweenness” were employed as identifiers for network-central symptoms.ResultThe symptoms of “feeling your heart pound or race,” “shortness of breath,” and “back pain” had the highest centrality values, indicating that these symptoms were central to the somatic symptom networks. Feeling tired or mentally ill had the strongest positive correlation with insomnia or other sleep problems (r = 0.419), followed by chest pain and breathlessness (r = 0.334), back pain, and limb or joint pain (r = 0.318).DiscussionPsychological and neurobiological research that offers insights into somatic symptoms may focus on these central symptoms as targets for treatment and future research.

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“…More recently, computational sciences have grafted themselves onto this dynamic of explanatory pluralism in psychiatry ( 8 ). They propose to model a variety of levels of understanding of living organisms ( 7 ) within statistical models (such as symptom network models) ( 9 , 10 ), for instance with Bayesian models ( 11 ).…”

Section: Introductionmentioning

confidence: 99%

From analytic to synthetic-organizational pluralisms: A pluralistic enactive psychiatry

et al. 2022

Self Cite

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IntroductionReliance on sole reductionism, whether explanatory, methodological or ontological, is difficult to support in clinical psychiatry. Rather, psychiatry is challenged by a plurality of approaches. There exist multiple legitimate ways of understanding human functionality and disorder, i.e., different systems of representation, different tools, different methodologies and objectives. Pluralistic frameworks have been presented through which the multiplicity of approaches in psychiatry can be understood. In parallel of these frameworks, an enactive approach for psychiatry has been proposed. In this paper, we consider the relationships between the different kinds of pluralistic frameworks and this enactive approach for psychiatry.MethodsWe compare the enactive approach in psychiatry with wider analytical forms of pluralism.ResultsOn one side, the enactive framework anchored both in cognitive sciences, theory of dynamic systems, systems biology, and phenomenology, has recently been proposed as an answer to the challenge of an integrative psychiatry. On the other side, two forms of explanatory pluralisms can be described: a non-integrative pluralism and an integrative pluralism. The first is tolerant, it examines the coexistence of different potentially incompatible or untranslatable systems in the scientific or clinical landscape. The second is integrative and proposes to bring together the different levels of understanding and systems of representations. We propose that enactivism is inherently a form of integrative pluralism, but it is at the same time a component of the general framework of explanatory pluralism, composed of a set of so-called analytical approaches.ConclusionsA significant number of mental health professionals are already accepting the variety of clinical and scientific approaches. In this way, a rigorous understanding of the theoretical positioning of psychiatric actors seems necessary to promote quality clinical practice. The study of entanglements between an analytical pluralism and a synthetic-organizational enactivist pluralism could prove fruitful.

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Introduction aux réseaux de symptômes en psychopathologie

Cited by 3 publications

References 39 publications

Network Analysis of Depression Levels in Adolescents with Non-suicidal Self-injury

Network Analysis of Depression Levels in Adolescents with Non-suicidal Self-injury

Network analysis of somatic symptoms in Chinese patients with depressive disorder

From analytic to synthetic-organizational pluralisms: A pluralistic enactive psychiatry

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