Towards Precision Medicine in Psychosis: Benefits and Challenges of Multimodal Multicenter Studies—PSYSCAN: Translating Neuroimaging Findings From Research into Clinical Practice. (19th August 2019)
- Record Type:
- Journal Article
- Title:
- Towards Precision Medicine in Psychosis: Benefits and Challenges of Multimodal Multicenter Studies—PSYSCAN: Translating Neuroimaging Findings From Research into Clinical Practice. (19th August 2019)
- Main Title:
- Towards Precision Medicine in Psychosis: Benefits and Challenges of Multimodal Multicenter Studies—PSYSCAN: Translating Neuroimaging Findings From Research into Clinical Practice
- Authors:
- Tognin, Stefania
van Hell, Hendrika H
Merritt, Kate
Winter-van Rossum, Inge
Bossong, Matthijs G
Kempton, Matthew J
Modinos, Gemma
Fusar-Poli, Paolo
Mechelli, Andrea
Dazzan, Paola
Maat, Arija
de Haan, Lieuwe
Crespo-Facorro, Benedicto
Glenthøj, Birte
Lawrie, Stephen M
McDonald, Colm
Gruber, Oliver
van Amelsvoort, Therese
Arango, Celso
Kircher, Tilo
Nelson, Barnaby
Galderisi, Silvana
Bressan, Rodrigo
Kwon, Jun S
Weiser, Mark
Mizrahi, Romina
Sachs, Gabriele
Maatz, Anke
Kahn, René
McGuire, Phillip - Abstract:
- 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.
- Is Part Of:
- Schizophrenia bulletin. Volume 46:Number 2(2020)
- Journal:
- Schizophrenia bulletin
- Issue:
- Volume 46:Number 2(2020)
- Issue Display:
- Volume 46, Issue 2 (2020)
- Year:
- 2020
- Volume:
- 46
- Issue:
- 2
- Issue Sort Value:
- 2020-0046-0002-0000
- Page Start:
- 432
- Page End:
- 441
- Publication Date:
- 2019-08-19
- Subjects:
- psychosis -- first episode of psychosis -- clinical high risk of psychosis -- PSYSCAN -- neuroimaging -- MRI -- machine learning -- prediction
Schizophrenia -- Periodicals
Schizophrenia -- Research -- Periodicals
616.898005 - Journal URLs:
- http://schizophreniabulletin.oxfordjournals.org ↗
http://schizophreniabulletin.oxfordjournals.org/archive ↗
http://ukcatalogue.oup.com/ ↗ - DOI:
- 10.1093/schbul/sbz067 ↗
- Languages:
- English
- ISSNs:
- 0586-7614
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 8089.400000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 12982.xml