Format:
10
ISSN:
1745-1701
Content:
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.
Note:
Advance Access publication 19 August 2019
,
Gesehen am 14.04.2021
In:
Schizophrenia bulletin, Oxford : Oxford Univ. Press, 1969, 46(2020), 2, Seite 432-441, 1745-1701
In:
volume:46
In:
year:2020
In:
number:2
In:
pages:432-441
In:
extent:10
Language:
English
DOI:
10.1093/schbul/sbz067
URL:
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