Computational methods and machine learning are currently THE hot-topics and they are also applied in neuroscience research, showing us where the field is heading in the future. If you have ever wondered how these methods work, what their advantages - but also limitations - are and how they are implemented in research on women's mental health: We got you!In this episode Franziska is hosting Tobias Kaufmann, professor of neurotechnology and computational psychiatry at the University of Tübingen, who is also part of the IRTG2804. Tobias explains the basics of computational methods and gives us concrete examples of his own work, providing a first glimpse into the computational world. Also, we hear about his new ERC project: "HealthyMom: Modeling and maintaining maternal mental health".Timestamps:00:25 Introduction01:18 Computational psychiatry: Advantages & limitations10:15 Tobias' computational methods & examples: Prediction & classification models21:14 Computational methods in women's (mental) health: Focus on adolescence30:11 HealthyMom Project: Brain plasticity during pregnancy loss40:26 Recruitment information for Healthy Mom Study41:30 Summary43:40 Next steps in computational psychiatry and women's mental healthWebsite to Kaufmann Lab: https://www.kaufmannlab.org/About the HealthyMom Project: https://www.kaufmannlab.org/post/20230202-erc-consolidator-grant/References:Population-based neuroimaging reveals traces of childbirth in the maternal brain (de Lange, Kaufmann et al., 2019). https://doi.org/10.1073/pnas.1910666116Menarche, pubertal timing and the brain: female-specific patterns of brain maturation beyond age-related development (Gottschwesky, Kraft, & Kaufmann, 2024). https://bsd.biomedcentral.com/articles/10.1186/s13293-024-00604-4Domain adapted brain network fusion captures variance related to pubertal brain development and mental health (Kraft, Alnaes, & Kaufmann, 2023). https://www.nature.com/articles/s41467-023-41839-wModeling brain sex in the limbic system as phenotype for female-prevalent mental disorders (Matte Bon, Kraft, Comasco, Derntl, & Kaufmann, 2024). https://bsd.biomedcentral.com/articles/10.1186/s13293-024-00615-1Outline & questions: Franziska Weinmar & Gloria Matte BonSound recording: Franziska Weinmar with the equipment of the IRTG2804Editing: Franziska WeinmarDo you have any feedback, suggestions, or questions? Get in touch with us: irtg2804.podcast@gmail.comAre you intrigued by this topic and want to be kept updated? Follow us on twitter: @irtg2804 or instagram: @irtg2804 Hosted on Acast. See acast.com/privacy for more information.