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Getting personal with network theory of mental health and illness| old_uid | 20263 |
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| title | Getting personal with network theory of mental health and illness |
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| start_date | 2022/03/29 |
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| schedule | 11h-12h30 |
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| online | no |
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| location_info | salle Dussane |
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| details | nEuro-economics seminar series - To meet Claire Gillan, please contact Magdalena Soukupova: magdalena.soukupova@ens.fr |
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| summary | Network theory of psychopathology posits that mental health disorders like depression might be better understood as complex systems defined by interacting elements, or ‘symptoms’, like low mood, excessive guilt and insomnia. This challenges the traditional view in psychiatry that disorders themselves are the latent cause of symptoms and offers an explanation as to why psychiatry has failed to find clear neurobiological, genetic, or environmental causes of specific DSM disorders. Though there is much excitement about the potential for network approaches to explain individual differences in clinical presentation, help us understand vulnerability, and potentially tailor treatments, there is snag; almost all of the empirical research supporting network theory rests on between-subject analyses in cross-sectional data. In this talk, I will stress the need for constructing and interrogating personalised within-subject networks to move this field forward. This allows us to ask not whether things like insomnia and guilt correlate across individuals, but how reliably guilt precedes insomnia within a person. Focusing on a core prediction of network theory, that more tightly connected networks of symptoms are associated with vulnerability, severity, and persistence of illness, I will describe some recent efforts in this area using a variety of data sources. These include clinical panel data from >65,000 patients followed through cognitive behavioural therapy, personalised networks constructed from depression-related language in Tweets (N=946), and twice-daily self-reported affect from an experience sampling study (N=208) via the neureka app (www.neureka.ie). |
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| responsibles | <not specified> |
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