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Brain features of nearly drug-naïve female monozygotic twins with first-episode schizophrenia and the classification accuracy of brain feature patterns: A pilot study.

Tao ZhangJie SongCe ChenRan LiYachen LiYun SunTao FangWeiwei XuHongjun TianChuanjun Zhuo
Published in: Brain and behavior (2020)
Female MZ twins with schizophrenia exhibited increased GMV, white matter impairment, and disruptions in EC and FC networks. The combination of rs-EC + rs-FC data could distinguish female twins with schizophrenia from twins without schizophrenia and healthy controls with 97.4% accuracy, and the addition of structural brain features yielded a 100% accuracy rate. These findings may provide pivotal insight for further study of the mechanisms underlying schizophrenia.
Keyphrases
  • bipolar disorder
  • white matter
  • resting state
  • machine learning
  • gestational age
  • deep learning
  • emergency department
  • big data
  • artificial intelligence
  • subarachnoid hemorrhage
  • drug induced