English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Journal Article

Towards precision medicine in psychosis: Benefits and challenges of multimodal multicenter studies—PSYSCAN: Translating neuroimaging findings from research into clinical practice

MPS-Authors
There are no MPG-Authors in the publication available
External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)

Tohnin_2021.pdf
(Publisher version), 728KB

Supplementary Material (public)
There is no public supplementary material available
Citation

Tognin, S., van Hell, H., Merritt, K., Rossum, I., Bossong, M., Kempton, M., et al. (2020). Towards precision medicine in psychosis: Benefits and challenges of multimodal multicenter studies—PSYSCAN: Translating neuroimaging findings from research into clinical practice. Schizophrenia Bulletin, 46(2), 432-441. doi:10.1093/schbul/sbz067.


Cite as: https://hdl.handle.net/21.11116/0000-0009-2354-1
Abstract
In the last 2 decades, several neuroimaging studies investigated brain abnormalities associated with the early stages of psychosis in the hope that these could aid the prediction of onset and clinical outcome. Despite advancements in the field, neuroimaging has yet to deliver. This is in part explained by the use of univariate analytical techniques, small samples and lack of statistical power, lack of external validation of potential biomarkers, and lack of integration of nonimaging measures (eg, genetic, clinical, cognitive data). PSYSCAN is an international, longitudinal, multicenter study on the early stages of psychosis which uses machine learning techniques to analyze imaging, clinical, cognitive, and biological data with the aim of facilitating the prediction of psychosis onset and outcome. In this article, we provide an overview of the PSYSCAN protocol and we discuss benefits and methodological challenges of large multicenter studies that employ neuroimaging measures.