Transformer-based structural connectivity networks for ADHD-related connectivity alterations.

Journal: Communications medicine
Published Date: Jul 17, 2025

Abstract

BACKGROUND: Attention-deficit/hyperactivity disorder (ADHD) is a common neurodevelopmental disorder that affects behavior, attention, and learning. Current diagnoses rely heavily on subjective assessments, underscoring the need for objective imaging-based methods. This study aims to explore whether structural connectivity networks derived from MRI can reveal alterations associated with ADHD and support data-driven understanding.

Authors

  • Liting Shi
    Department of Radiology, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, China.
  • Lei Shi
  • Zhijun Cui
    Department of Medicine Imaging, the Chongming Branch of Shanghai Tenth People's Hospital, Tongji University, Shanghai, China.
  • Chengting Lin
    The Second School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China.
  • Rui Zhang
    Department of Cardiology, Zhongda Hospital, Medical School of Southeast University, Nanjing, China.
  • Jiayi Zhang
    School of Basic Medical Sciences, Health Science Center, Ningbo University, Ningbo, China.
  • Yechen Zhu
    Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou 215163, China.
  • Wei Shi
    Department of Orthopedics, Shenzhen Pediatrics Institute of Shantou University Medical College, Shenzhen, China.
  • Jianlin Wang
    First Hospital of Lanzhou University, 1 Donggang W Rd, Chengguan District, Lanzhou, Gansu, 730000, China.
  • Yanlong Wang
    Department of Radiology, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, China.
  • Dongxing Wang
    Department of Neurology, The Second Affiliated Hospital of Soochow University, Suzhou, China.
  • Haihong Liu
    Department of Mathematical, Yunnan Normal University, Kunming 650092, People's Republic of China. lhhmath@aliyun.com.
  • Xin Gao
    Department of Computer Science, New Jersey Institute of Technology, Newark, New Jersey, USA.

Keywords

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