Brain age predicted using graph convolutional neural network explains neurodevelopmental trajectory in preterm neonates.

Journal: European radiology
PMID:

Abstract

OBJECTIVES: Dramatic brain morphological changes occur throughout the third trimester of gestation. In this study, we investigated whether the predicted brain age (PBA) derived from graph convolutional network (GCN) that accounts for cortical morphometrics in third trimester is associated with postnatal abnormalities and neurodevelopmental outcome.

Authors

  • Mengting Liu
    Department of Ophthalmology, The Second Xiangya Hospital, Hunan Clinical Research Centre of Ophthalmic Disease, Central South University, Changsha, Hunan, China.
  • Minhua Lu
    Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Health Science Center, Shenzhen University, 518060, China. Electronic address: luminhua@szu.edu.cn.
  • Sharon Y Kim
    Department of Neurology, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, 2025 Zonal Ave, Los Angeles, CA, 90033, USA.
  • Hyun Ju Lee
    Department of Pediatrics, Hanyang University College of Medicine, 222 Wangsimni-ro, Seongdong-gu, Seoul, 04763, Korea.
  • Ben A Duffy
    Laboratory of Neuro Imaging (LONI), Stevens Institute for Neuroimaging and Informatics, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
  • Shiyu Yuan
    Department of Neurology, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, 2025 Zonal Ave, Los Angeles, CA, 90033, USA.
  • Yaqiong Chai
    Department of Neurology, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, 2025 Zonal Ave, Los Angeles, CA, 90033, USA.
  • James H Cole
    Computational, Clinical, and Cognitive Neuroimaging Laboratory, Department of Medicine, Imperial College London, London, United Kingdom.
  • Xiaotong Wu
    State Key Laboratory of Bioactive Molecules and Druggability Assessment, MOE Key Laboratory of Tumor Molecular Biology, and Institute of Precision Cancer Medicine and Pathology, School of Medicine, Jinan University, Guangzhou, Guangdong, China.
  • Arthur W Toga
    Laboratory of Neuro Imaging, Keck School of Medicine, Stevens Neuroimaging and Informatics Institute, University of Southern California Los Angeles, CA, USA.
  • Neda Jahanshad
    Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
  • Dawn Gano
    Departments of Neurology and Pediatrics, University of California, San Francisco, San Francisco, CA, USA.
  • Anthony James Barkovich
    Department of Radiology, Seoul National University Hospital, Republic of Korea. Electronic address: james.barkovich@ucsf.edu.
  • Duan Xu
    Department of Radiology, Seoul National University Hospital, Republic of Korea. Electronic address: duan.xu@ucsf.edu.
  • Hosung Kim
    Laboratory of Neuro Imaging, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA. Electronic address: hosung.kim@loni.usc.edu.