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Deep Learning-based Brain Age Prediction in Patients With Schizophrenia Spectrum Disorders.

Woo-Sung KimDa-Woon HeoJunyeong MaengJie ShenUyanga TsogtSoyolsaikhan OdkhuuXuefeng ZhangSahar CheraghiSung-Wan KimByung-Joo HamFatima Zahra RamiJing SuiChae Yeong KangHeung-Il SukYoung-Chul Chung
Published in: Schizophrenia bulletin (2023)
Our findings indicate that there is advanced brain aging in patients with SCZ and higher brain-PAD in SCZ can be used as a surrogate marker for cognitive dysfunction. These findings warrant further investigations on the causes of advanced brain age in SCZ. In addition, possible psychosocial and pharmacological interventions targeting brain health should be considered in early-stage SCZ patients with advanced brain age.
Keyphrases
  • resting state
  • white matter
  • early stage
  • functional connectivity
  • deep learning
  • cerebral ischemia
  • public health
  • mental health
  • machine learning
  • risk assessment
  • neoadjuvant chemotherapy