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A key focus of this research program is addressing the heterogeneity of depression by defining profiles or subtypes of depression and suicidal behaviours based on a better understanding of (neuro)biological mechanisms. Her work also focuses on developing prediction algorithms for depression onset, treatment response and suicide attempts. Her research integrates clinical, psychosocial, neurobiological, cognitive and genetic data through computational modelling and machine learning methods. A/Prof. Schmaal also (co-)leads the two largest neuroimaging consortia on depression and suicidal behaviours worldwide, i.e. the ENIGMA Major Depressive Disorder (MDD) consortium and the ENIGMA Suicidal Thoughts and Behaviours consortium. These international consortia pool neuroimaging and clinical data from >20,000 people from ~50 research institutes in 14 different countries worldwide.
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Papers共 267 篇Author StatisticsCo-AuthorSimilar Experts
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Scientific Reportsno. 1 (2024): 1-18
Georgie Paulik,Laura S. Van Velzen, Christopher W. Lee,Connie Markulev, Jennifer Jackson Simpson, Pemma Davies,Sarah Bendall,Lianne Schmaal
AUSTRALIAN PSYCHOLOGISTno. 1 (2024): 15-23
crossref(2024)
crossref(2024)
Zhipeng Cao, Matthew McCabe,Peter Callas,Renata B Cupertino,Jonatan Ottino-González, Alistair Murphy,Devarshi Pancholi,Nathan Schwab,Orr Catherine,Kent Hutchison,Janna Cousijn,Alain Dagher,
Frontiers in Neuroimaging (2023): 1138193-1138193
AUSTRALIAN AND NEW ZEALAND JOURNAL OF PSYCHIATRYno. 3 (2023): 309-311
Brain, behavior, and immunity (2023): 166-175
Biocomputing 2023 (2023): 555-555
CoRR (2023)
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