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Interdisciplinaria

versão On-line ISSN 1668-7027

Resumo

LUNANSKY, Gabriela  e  GARAY, Cristian Javier. Psychopathology as a complex network of causally interacting symptoms. Interdisciplinaria [online]. 2022, vol.39, n.2, pp.167-179.  Epub 31-Mar-2022. ISSN 1668-7027.  http://dx.doi.org/10.16888/interd.2022.39.2.11.

Over the past years, psychopathology has frequently been represented as a complex system, where psychiatric symptoms are causally interconnected in a network architecture. The network theory of psychopathology has led to more than 300 novel publications, academic courses, methodology for estimating novel models, and freely available software. However, despite the success of this novel research avenue, all relevant information has mostly been published in English. This paper translates the network theory of psychopathology and its model, together with its relevance for research and clinical practice of psychology and psychiatry, to the Spanish language. To serve the dissemination of this theory, this paper serves as an introductory paper for Spanish scholars, for example, as a starting point to learn more about the approach or for academic courses.

The main idea of the network theory of psychopathology is that the activation of one clinical symptom in the network leads to the activation of a neighboring symptom. If symptoms are strongly connected with each other, for example, excessive worry and insomnia, they are more likely to be in the same state, meaning that if a person faces a stressful life event such as losing one’s job, the activation of the symptom excessive worry will increase the probability they will also suffer from insomnia. In this way, a whole symptom activation pattern develops from which mental disorders emerge. Mental disorders are conceived as stable states of strongly connected symptom networks, allowing for a common explanatory model for multiple mental disorders, thereby providing a comprehensive model of psychopathology.

Traditional representations of mental disorders conceptualize symptoms as merely passive indicators of latent, underlying mental disorders which act as common causes for patients’ symptomatology. The network theory of psychopathology flips the explanatory and statistical model: instead of focusing on one underlying cause or underlying causes, it proposes to study the direct interactions between these symptoms. This imposes two important implications for the conceptualization of mental disorders. First, symptoms are no longer statistically exchangeable since every symptom can have a different role in the onset and development of psychopathology. Some symptoms can be more important than others in keeping the whole system “stuck” in a disordered state. Second, comorbidity is conceptualized as clustering symptoms which are connected to each other via certain “bridge symptoms”. Bridge symptoms are symptoms which are attributed to two (or more) mental disorders, such as Major Depressive Disorder (MDD) and Generalized Anxiety Disorder (GAD). If a person suffers from symptoms of MDD, such as loss of motivation and depressed mood, this can lead to the activation of bridge symptoms such as fatigue and concentration problems, which by themselves lead to the activation of GAD symptoms such as irritability and excessive worry.

Palavras-chave : psychopathology; network analysis; complex causal network; psychiatric symptoms; mental disorders.

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