Volume 62, Issue 2 pp. 403-414
Research Article

MRI Assessment of Geometric Microstructural Changes of White Matter in Infants With Periventricular White Matter Injury and Spastic Cerebral Palsy

Miaoyan Wang MD

Miaoyan Wang MD

Department of Radiology, Affiliated Children's Hospital of Jiangnan University, Wuxi, China

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Hua Zhu PhD

Hua Zhu PhD

Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China

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Tingting Huang PhD

Tingting Huang PhD

Department of Radiology, The First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, China

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Jingjing Qiao MD

Jingjing Qiao MD

Department of Radiology, Affiliated Children's Hospital of Jiangnan University, Wuxi, China

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Bo Peng PhD

Bo Peng PhD

Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China

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Ni Shu PhD

Ni Shu PhD

State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China

BABRI Centre, Beijing Normal University, Beijing, China

Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, China

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Anqi Qiu PhD

Anqi Qiu PhD

Department of Health Technology and Informatics, Hong Kong Polytechnic University, Hong Kong

Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland, USA

Department of Biomedical Engineering, National University of Singapore, Singapore

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Jian Cheng PhD

Corresponding Author

Jian Cheng PhD

State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China

State Key Laboratory of Complex & Critical Software Environment (CCSE), Beihang University, Beijing, China

Address reprint requests to: H.J., Department of Radiology, Affiliated Children's Hospital of Jiangnan University, No. 299-1, Qingyang Road, Wuxi 214000, Jiangsu Province, China. E-mail: [email protected], or J.C., State Key Laboratory of Complex & Critical Software Environment (CCSE), Beihang University, No.37, Xueyuan Road, Beijing, China. E-mail: [email protected]

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Haoxiang Jiang PhD

Corresponding Author

Haoxiang Jiang PhD

Department of Radiology, Affiliated Children's Hospital of Jiangnan University, Wuxi, China

Address reprint requests to: H.J., Department of Radiology, Affiliated Children's Hospital of Jiangnan University, No. 299-1, Qingyang Road, Wuxi 214000, Jiangsu Province, China. E-mail: [email protected], or J.C., State Key Laboratory of Complex & Critical Software Environment (CCSE), Beihang University, No.37, Xueyuan Road, Beijing, China. E-mail: [email protected]

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First published: 07 February 2025
Citations: 1

Miaoyan Wang, Hua Zhu, and Tingting Huang contributed equally to this work.

Abstract

Background

Periventricular white matter injury (PWMI) is a high-risk factor for spastic cerebral palsy (SCP).

Purpose

To investigate the geometric microstructural changes in WM in infants with PWMI-SCP using MRI which may facilitate early identification.

Study Type

Retrospective cohort study.

Population

Twenty-three healthy infants (aged 6.53–36 months), 25 infants with PWMI-SCP (aged 6–33 months), and 32 infants with PWMI-nonSCP (aged 6–36 months).

Field Strength/Sequence

3.0 T, T1-weighted three-dimensional gradient-echo sequence, and diffusion tensor imaging (DTI) with a single-shot gradient echo planar sequence.

Assessment

The brain was automatically segmented, parcellated into major regions of interest according to the Desikan–Killiany atlas and volumes extracted. Fractional anisotropy (FA) and mean diffusivity (MD) of regions were extracted from DTI data. Director field analysis (DFA) was used to assess the geometric microstructural properties of WM. Motor dysfunction was graded from l (mild) to 5 (severe) according to the Gross Motor Function Classification System.

Statistical Tests

Tests included analysis of variance, correlation analysis, mediation analysis, and receiver operating characteristic analysis. Corrected P-values <0.05 were considered significant. Mediation analysis examined whether DFA metrics mediated the relationship between brain morphological and motor dysfunction. Models were constructed to identify PWMI-SCP.

Results

The PWMI-SCP group exhibited significantly elevated all four DFA metrics (splay, bend, twist, and distortion), primarily in the corpus callosum, posterior thalamic radiata, and corona radiata, compared to the PWMI-nonSCP group, and was associated with enlarged lateral ventricles, reduced deep nuclear volumes and motor dysfunction. Mediation analysis indicated that increased splay in the corpus callosum partially mediates (mediating effect ratio: 29.74%, 22.46%) the relationship between the lateral ventricles and motor function. The results showed that DFA achieved a higher area under the curve (AUC) than the FA + MD, especially in distinguishing PWMI-nonSCP from PWMI-SCP (AUC = 0.93).

Data Conclusion

Monitoring fiber-orientational alterations may provide new insights into early identification of PWMI-SCP.

Plain Language Summary

This study utilized directional field analysis (DFA) to systematically examine white matter microstructural changes in three groups: periventricular white matter injury with spastic cerebral palsy (PWMI-SCP), periventricular white matter injury without spastic cerebral palsy (PWMI-nonSCP), and healthy controls. The results revealed significantly abnormal increases in the white matter geometric structure within the sensorimotor circuit in the PWMI-SCP group. DFA metrics achieved an AUC of 0.93 in distinguishing PWMI-SCP from PWMI-nonSCP. These specific microstructural changes provide critical insights for the early identification of PWMI-SCP.

Level of Evidence

3

Technical Efficacy

Stage 2

Conflict of Interest

Nothing to report.

Data Availability Statement

The data that support the findings of this study are available on request from the corresponding author.

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