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

Schizophrenia (SCZ) patients and their unaffected first‐degree relatives (FDRs) share similar functional neuroanatomy. However, it remains largely unknown to what extent unaffected FDRs with functional neuroanatomy patterns similar to patients can be identified at an individual level. In this study,...

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Detalhes bibliográficos
Publicado no:Hum Brain Mapp
Main Authors: Jing, Rixing, Li, Peng, Ding, Zengbo, Lin, Xiao, Zhao, Rongjiang, Shi, Le, Yan, Hao, Liao, Jinmin, Zhuo, Chuanjun, Lu, Lin, Fan, Yong
Formato: Artigo
Idioma:Inglês
Publicado em: John Wiley & Sons, Inc. 2019
Assuntos:
Research Articles
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6679781/
https://ncbi.nlm.nih.gov/pubmed/31148311
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/hbm.24678
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