Title data
Kästner, Lena:
Modeling psychopathology : 4D multiplexes to the rescue.
In: Synthese.
Vol. 201
(2023)
.
- 9.
ISSN 1573-0964
DOI: https://doi.org/10.1007/s11229-022-04008-y
Project information
Project financing: |
Deutsche Forschungsgemeinschaft VolkswagenStiftung |
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Abstract in another language
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 |
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Refereed: | Yes |
Keywords: | Mental illness; Mental disorder; Multiplex; Symptom network model; Connectivity; Temporal dynamics; Multifactorial model |
Institutions of the University: | Faculties Faculties > Faculty of Cultural Studies Faculties > Faculty of Cultural Studies > Department of Philosophy Faculties > Faculty of Cultural Studies > Department of Philosophy > Chair Philosophy, Computer Science and Artificial Intelligence Faculties > Faculty of Cultural Studies > Department of Philosophy > Chair Philosophy, Computer Science and Artificial Intelligence > Chair Philosophy, Computer Science and Artificial Intelligence - Univ.-Prof. Dr. Lena Kästner |
Result of work at the UBT: | Yes |
DDC Subjects: | 100 Philosophy and psychology 100 Philosophy and psychology > 150 Psychology |
Date Deposited: | 13 May 2023 21:01 |
Last Modified: | 20 Jun 2024 07:04 |
URI: | https://eref.uni-bayreuth.de/id/eprint/76441 |