Machine learning identifies unaffected first‐degree relatives with functional network patterns and cognitive impairment similar to those of schizophrenia patients

Author:

Jing Rixing12,Li Peng3,Ding Zengbo4,Lin Xiao35,Zhao Rongjiang6,Shi Le3,Yan Hao3,Liao Jinmin3,Zhuo Chuanjun78,Lu Lin345,Fan Yong9ORCID

Affiliation:

1. National Laboratory of Pattern RecognitionInstitute of Automation, Chinese Academy of Sciences Beijing China

2. University of Chinese Academy of Sciences Beijing China

3. Institute of Mental Health, National Clinical Research Center for Mental Disorders, Key Laboratory of Mental Health and Peking University Sixth HospitalPeking University Beijing China

4. National Institute on Drug Dependence and Beijing Key laboratory of Drug DependencePeking University Beijing China

5. Peking‐Tsinghua Center for Life Sciences and PKU‐IDG/McGovern Institute for Brain ResearchPeking University Beijing China

6. Department of Alcohol and Drug DependenceBeijing Hui‐Long‐Guan Hospital, Peking University Beijing China

7. Tianjin Mental Health CenterNankai University Affiliated Tianjin Anding Hospital Tianjin China

8. Department of PsychiatryTianjin Medical University Tianjin China

9. Department of RadiologyPerelman School of Medicine, University of Pennsylvania Philadelphia Pennsylvania

Funder

National Basic Research Program of China

Foundation for the National Institutes of Health

National Natural Science Foundation of China

Publisher

Wiley

Subject

Neurology (clinical),Neurology,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology,Anatomy

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