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Modeling psychopathology : 4D multiplexes to the rescue

DOI zum Zitieren der Version auf EPub Bayreuth:
URN to cite this document: urn:nbn:de:bvb:703-epub-6981-5

Title data

Kästner, Lena:
Modeling psychopathology : 4D multiplexes to the rescue.
In: Synthese. Vol. 201 (2022) Issue 1 . - No. 9.
ISSN 1573-0964
DOI der Verlagsversion:

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Project financing: Deutsche Forschungsgemeinschaft


Accounts of mental disorders focusing either on the brain as neurophysiological substrate or on systematic connections between symptoms are insufficient to account for the multifactorial nature of mental illnesses. Recently, multiplexes have been suggested to provide a holistic view of psychopathology that integrates data from different factors, at different scales, or across time. Intuitively, these multi-layered network structures present quite appealing models of mental disorders that can be constructed by powerful computational machinery based on increasing amounts of real-world data. In this paper, I systematically examine what challenges psychopathology models face and to what extent different species of psychopathology models can address them. My analysis highlights that while multiplexes, as they are usually conceived, appear promising, they suffer from the same problems as other approaches. To remedy this, I suggest, we must go a step further and combine different kinds of multiplexes into 4D models. Once we embrace 4D multiplexes and identify appropriate ways to constrain them, we might unlock the true potential of multiplexes for making headway in psychopathology research.

Further data

Item Type: Article in a journal
Keywords: Mental illness; Mental disorder; Multiplex; Symptom network model; Connectivity; Temporal dynamics; Multifactorial model
DDC Subjects: 100 Philosophy and psychology
Institutions of the University: Faculties > Faculty of Cultural Studies
Language: English
Originates at UBT: Yes
URN: urn:nbn:de:bvb:703-epub-6981-5
Date Deposited: 09 May 2023 08:52
Last Modified: 09 May 2023 08:53


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