Multisite Machine Learning Analysis Provides a Robust Structural Imaging Signature of Schizophrenia Detectable Across Diverse Patient Populations and Within Individuals-Reference-Cited by-同舟云学术

Multisite Machine Learning Analysis Provides a Robust Structural Imaging Signature of Schizophrenia Detectable Across Diverse Patient Populations and Within Individuals

Published:2017-11-24 Issue:5 Volume:44 Page:1035-1044
ISSN:0586-7614
Container-title:Schizophrenia Bulletin
language:en
Short-container-title:

Author:

Rozycki Martin¹,Satterthwaite Theodore D¹²,Koutsouleris Nikolaos³,Erus Guray¹,Doshi Jimit¹,Wolf Daniel H¹²,Fan Yong¹,Gur Raquel E²,Gur Ruben C²,Meisenzahl Eva M⁴,Zhuo Chuanjun⁵,Yin Hong⁶,Yan Hao⁷,Yue Weihua⁷,Zhang Dai⁷,Davatzikos Christos¹

Affiliation:

1. Center for Biomedical Image Computing and Analytics, Department of Radiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA

2. Brain Behavior Laboratory, Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA

3. Department of Psychiatry and Psychotherapy, Ludwig-Maximilians-University, Munich, Germany

4. Department of Psychiatry and Psychotherapy, Heinrich Heine University Dusseldorf, Dusseldorf, Germany

5. Tianjin Anning Hospital, Tianjin, China

6. Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi’an, China

7. Institute of Mental Health, Key Laboratory of Mental Health, Ministry of Health & National Clinical Research Center for Mental Disorders, Sixth Hospital, Peking University, Beijing, China

Funder

National Institutes of Health

Publisher

Oxford University Press (OUP)

Subject

Psychiatry and Mental health

Link

http://academic.oup.com/schizophreniabulletin/article-pdf/44/5/1035/25516127/sbx137.pdf

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3. Computerized tomography studies on schizophrenic diseases;Gross;Arch Psychiatr Nervenkr (1970),1982