edoc

Detecting the psychosis prodrome across high-risk populations using neuroanatomical biomarkers

Koutsouleris, Nikolaos and Riecher-Rössler, Anita and Meisenzahl, Eva M. and Smieskova, Renata and Studerus, Erich and Kambeitz-Ilankovic, Lana and von Saldern, Sebastian and Cabral, Carlos and Reiser, Maximilian and Falkai, Peter and Borgwardt, Stefan. (2015) Detecting the psychosis prodrome across high-risk populations using neuroanatomical biomarkers. Schizophrenia Bulletin, 41 (2). pp. 471-482.

Full text not available from this repository.

Official URL: https://edoc.unibas.ch/70688/

Downloads: Statistics Overview

Abstract

To date, the MRI-based individualized prediction of psychosis has only been demonstrated in single-site studies. It remains unclear if MRI biomarkers generalize across different centers and MR scanners and represent accurate surrogates of the risk for developing this devastating illness. Therefore, we assessed whether a MRI-based prediction system identified patients with a later disease transition among 73 clinically defined high-risk persons recruited at two different early recognition centers. Prognostic performance was measured using cross-validation, independent test validation, and Kaplan-Meier survival analysis. Transition outcomes were correctly predicted in 80% of test cases (sensitivity: 76%, specificity: 85%, positive likelihood ratio: 5.1). Thus, given a 54-month transition risk of 45% across both centers, MRI-based predictors provided a 36%-increase of prognostic certainty. After stratifying individuals into low-, intermediate-, and high-risk groups using the predictor's decision score, the high- vs low-risk groups had median psychosis-free survival times of 5 vs 51 months and transition rates of 88% vs 8%. The predictor's decision function involved gray matter volume alterations in prefrontal, perisylvian, and subcortical structures. Our results support the existence of a cross-center neuroanatomical signature of emerging psychosis enabling individualized risk staging across different high-risk populations. Supplementary results revealed that (1) potentially confounding between-site differences were effectively mitigated using statistical correction methods, and (2) the detection of the prodromal signature considerably depended on the available sample sizes. These observations pave the way for future multicenter studies, which may ultimately facilitate the neurobiological refinement of risk criteria and personalized preventive therapies based on individualized risk profiling tools.
Faculties and Departments:03 Faculty of Medicine > Bereich Psychiatrie (Klinik) > Erwachsenenpsychiatrie UPK > Neuropsychiatrie (Borgwardt)
03 Faculty of Medicine > Departement Klinische Forschung > Bereich Psychiatrie (Klinik) > Erwachsenenpsychiatrie UPK > Neuropsychiatrie (Borgwardt)
07 Faculty of Psychology > Departement Psychologie > Forschungsbereich Sozial-, Wirtschafts- und Entscheidungspsychologie > Cognitive and Decision Sciences (Mata)
UniBasel Contributors:Borgwardt, Stefan and Studerus, Erich
Item Type:Article, refereed
Article Subtype:Research Article
Publisher:Oxford University Press
ISSN:0586-7614
e-ISSN:1745-1701
Note:Publication type according to Uni Basel Research Database: Journal article
Identification Number:
Last Modified:26 Jun 2019 13:29
Deposited On:26 Jun 2019 13:29

Repository Staff Only: item control page