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Beyond the average patient: using machine learning and big data to chart variability in mental disorders

Du 22/03/2021 au 22/03/2021
webinar

Andre F Marquand (Donders Institute for Bain and Cognitio, Radboud Universisty, Nijmegen) will give a talk on Zoom on March 22d.

https://www.ru.nl/english/people/marquand-a/

Invited by: Josselin Houenou

Short abstract:

Neuroscience has truly transitioned into the era of big data, yet most analytical approaches still focus principally on detecting group level differences between clinical cohorts. In this talk I will describe a series of machine learning techniques we have developed to move beyond group averages, including normative modelling or ‘brain growth charting’ techniques that allow us to chart variability at the level of each individual. I will illustrate this discussion by showing applications in schizophrenia, autism, ADHD and bipolar disorder which show that the prevalent approach is overly simplistic and disguises considerable variability in most mental disorders. Our approach provide a principled method to parse the heterogeneity in mental disorders and a workable route towards precision medicine in psychiatry. 




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