Classification of First-Episode Schizophrenia Using Multimodal Brain Features: A Combined Structural and Diffusion Imaging Study-Reference-Cited by-全球学者库

Classification of First-Episode Schizophrenia Using Multimodal Brain Features: A Combined Structural and Diffusion Imaging Study

Published:2018-06-27 Issue:3 Volume:45 Page:591-599
ISSN:0586-7614
Container-title:Schizophrenia Bulletin
language:en
Short-container-title:

Author:

Liang Sugai¹²,Li Yinfei¹²,Zhang Zhong³,Kong Xiangzhen⁴,Wang Qiang¹,Deng Wei¹²,Li Xiaojing¹,Zhao Liansheng¹,Li Mingli¹,Meng Yajing¹,Huang Feng³,Ma Xiaohong¹,Li Xin-min⁵,Greenshaw Andrew J⁵,Shao Junming³,Li Tao¹²

Affiliation:

1. Mental Health Centre and Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China

2. West China Brain Research Centre, West China Hospital, Sichuan University, Chengdu, Sichuan, China

3. Big Data Research Center, School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China

4. Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands

5. Department of Psychiatry, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, AB, Canada

Funder

National Nature Science Foundation of China

National Key Research and Development Program of the Ministry of Science and Technology of China

Sichuan Science and Technology Department

Publisher

Oxford University Press (OUP)

Subject

Psychiatry and Mental health

Link

http://academic.oup.com/schizophreniabulletin/article-pdf/45/3/591/28530127/sby091.pdf

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3. Distinguishing prodromal from first-episode psychosis using neuroanatomical single-subject pattern recognition;Borgwardt;Schizophr Bull,2013

4. Elucidating a magnetic resonance imaging-based neuroanatomic biomarker for psychosis: classification analysis using probabilistic brain atlas and machine learning algorithms;Sun;Biol Psychiatry,2009

5. Classification of first-episode psychosis in a large cohort of patients using support vector machine and multiple kernel learning techniques;Squarcina;Neuroimage,2017

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