In:
Schizophrenia Bulletin, Oxford University Press (OUP), Vol. 46, No. 2 ( 2020-02-26), p. 432-441
Kurzfassung:
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.
Materialart:
Online-Ressource
ISSN:
0586-7614
,
1745-1701
DOI:
10.1093/schbul/sbz067
Sprache:
Englisch
Verlag:
Oxford University Press (OUP)
Publikationsdatum:
2020
ZDB Id:
2180196-4
SSG:
15,3
Permalink