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Structural network performance for early diagnosis of spastic cerebral palsy in periventricular white matter injury

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Abstract

Periventricular white matter injury (PWMI) is a common cause of spastic cerebral palsy (SCP). Diffusion tensor imaging (DTI) shows high sensitivity but moderate specificity for predicting SCP. The limited specificity may be due to the diverse and extensive brain injuries seen in infants with PWMI. We enrolled 72 infants with corrected age from 6 to 18 months in 3 groups: PWMI with SCP (n = 20), non-CP PWMI (n = 19), and control (n = 33) groups. We compared DTI-based brain network properties among the three groups and evaluated the diagnostic performance of brain network properties for SCP in PWMI infants. Our results show abnormal global parameters (reduced global and local efficiency, and increased shortest path length), and local parameters (reduced node efficiency) in the PWMI with SCP group. On logistic regression, the combined node efficiency of the bilateral precentral gyrus and right middle frontal gyrus had a high sensitivity (90%) and specificity (95%) for differentiating PWMI with SCP from non-CP PWMI, and significantly correlated with the Gross Motor Function Classification System scores. This study confirms that DTI-based brain network has great diagnostic performance for SCP in PWMI infants, and the combined node efficiency improves the diagnostic accuracy.

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Acknowledgements

This study was supported by the National Natural Science Foundation of China (81971581, 81771810, 81901823, 81901732 and 81760309), the Innovation Team Project of Natural Science Fund of Shaanxi Province (2019TD-018), the National Key Research and Development Program of China (2016YFC0100300), the Project Funded by China Postdoctoral Science Foundation (No. 2019 M653659), and the Natural Science Basic Research Plan in Shaanxi Province of China (No.2019JQ-198).The authors are grateful to Dr. Liming Liu and Dr. Jie Yue at the Department of Child Health Care for the diagnosis of CP.

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  1. Haoxiang Jiang and Heng Liu contributed equally to this work.

Authors and Affiliations

  1. Department of Radiology, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, 710061, China

    Haoxiang Jiang, Heng Liu, Tingting Huang, Liang Wu, Fan Wu, Congcong Liu, Miaomiao Wang, Chao Jin, Jian Yang & Xianjun Li

  2. The Key Laboratory of Biomedical Information Engineering of the Ministry of Education, Department of Biomedical Engineering, School of Life Science and Technology, Xi’an Jiaotong University, Xi’an, 710049, China

    Haoxiang Jiang, Heng Liu & Jian Yang

  3. Department of Diagnostic Radiology, Xi’an Children Hospital, Xi’an, 710003, China

    Haoxiang Jiang

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  1. Haoxiang Jiang
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Contributions

Guarantors of integrity of entire study, HJ, HL, TH, JY, XL; study design, HJ, JY; Data acquisition, HJ, HL, LW, FW, CL, MW; data analysis, HJ, XL, CJ; manuscript drafting, HJ, HL, TH, XL; manuscript revision, all authors.

Corresponding authors

Correspondence to Jian Yang or Xianjun Li.

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This retrospective cohort study was approved by the institutional review board of the First Affiliated Hospital of Xi’an Jiaotong University. Written informed consent was obtained from parents of the enrolled infants.

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The authors have stated that they had no interests which might be perceived as posing a conflict or bias

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Jiang, H., Liu, H., Huang, T. et al. Structural network performance for early diagnosis of spastic cerebral palsy in periventricular white matter injury. Brain Imaging and Behavior 15, 855–864 (2021). https://doi.org/10.1007/s11682-020-00295-6

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