Machine learning identifies unaffected first‐degree relatives with functional network patterns and cognitive impairment similar to those of schizophrenia patients-Reference-Cited by-同舟云学术

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

Published:2019-05-30 Issue: Volume: Page:
ISSN:1065-9471
Container-title:Human Brain Mapping
language:en
Short-container-title:Hum Brain Mapp

Author:

Jing Rixing¹²,Li Peng³,Ding Zengbo⁴,Lin Xiao³⁵,Zhao Rongjiang⁶,Shi Le³,Yan Hao³,Liao Jinmin³,Zhuo Chuanjun⁷⁸,Lu Lin³⁴⁵,Fan Yong⁹^ORCID

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

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/hbm.24678

Reference47 articles.

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3. Neuropsychology, genetic liability, and psychotic symptoms in those at high risk of schizophrenia;Byrne M.;Journal of Abnormal Psychology,2003

4. Cavum septum pellucidum in subjects at ultra‐high risk for psychosis: Compared with first‐degree relatives of patients with schizophrenia and healthy volunteers;Choi J. S.;Progress in Neuro‐Psychopharmacology & Biological Psychiatry,2008

5. Impaired rich club connectivity in unaffected siblings of schizophrenia patients;Collin G.;Schizophrenia Bulletin,2014

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