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Aberrant Topological Properties of Brain Functional Network in Children with Obstructive Sleep Apnea Derived from Resting-State fMRI

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Abstract

To examine the difference in the topological properties of brain functional network between the children with obstructive sleep apnea (OSA) and healthy controls, and to explore the relationships between these properties and cognitive scores of OSA children. Twenty-four OSA children (6.5 ± 2.8 years, 15 males) and 26 healthy controls (8.0 ± 2.9 years, 11 males) underwent resting-state fMRI (rs-fMRI), based on which brain functional networks were constructed. We compared the global and regional topological properties of the network between OSA children and healthy controls. Partial correlation analysis was performed between topological properties and cognitive scores across OSA children. When comparing the OSA children with the healthy controls, lower full-scale intelligent quotient (FIQ) and verbal intelligent quotient (VIQ) were observed. Additionally, nodal degree centrality decreased in the bilateral anterior cingulate and paracingulate gyrus, but increased in the right middle frontal gyrus, the left fusiform gyrus, and the left supramarginal gyrus. Nodal efficiency decreased in the right precentral gyrus, and the bilateral anterior cingulate and paracingulate gyrus, but increased in the left fusiform gyrus. Nodal betweenness centrality increased in the dorsolateral part of the right superior frontal gyrus, the left fusiform gyrus, and the left supramarginal gyrus. Further, the nodal degree centrality in the left supramarginal gyrus was positively correlated with FIQ. In contrast, none of global topological properties showed difference between those two groups. The outcomes of OSA may impaired the regional topological properties of the brain functional network of OSA children, which may be potential neural mechanism underlying the cognitive declines of these patients.

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Data Availability

The data used in the present study are available from the corresponding author on reasonable request.

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Funding

This research was supported by the grants as follows: Beijing Hospitals Authority Youth Programme (QML20201206), National Natural Science Foundation of China (82000991, 61673051), Pediatric Medical Coordinated Development Center of Beijing Municipal Administration (XTZD20180101), and the Public Service Development and Reform Pilot Project of Beijing Medical Research Institute (BHME201911). The authors have indicated no financial conflicts of interest.

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  1. Tingting Ji, Xuemin Ren and Ting Long have contributed equally to this work.

Authors and Affiliations

  1. Department of Otolaryngology, Head and Neck Surgery, Beijing Children’s Hospital, Capital Medical University, National Center for Children’s Health, No. 56 Nanlishi Road, Xicheng District, Beijing, 100045, China

    Tingting Ji, Ting Long, Xiaodan Li, Lin Mei, Wentong Ge, Jie Zhang, Shengcai Wang, Yongli Guo & Xin Ni

  2. Department of Beijing Key Laboratory for Pediatric Diseases of Otolaryngology, Head and Neck Surgery, Beijing Children’s Hospital, Capital Medical University, National Center for Children’s Health, Beijing, 100045, China

    Xin Ni

  3. Department of Respiratory Medicine, Beijing Children’s Hospital, Capital Medical University, National Center for Children’s Health, Beijing, 100045, China

    Zhifei Xu

  4. Department of Sleep Center, Beijing Children’s Hospital, Capital Medical University, National Center for Children’s Health, Beijing, 100045, China

    Zhifei Xu

  5. Department of Radiology, Imaging Center, Beijing Children’s Hospital, Capital Medical University, National Center for Children’s Health, No. 56 Nanlishi Road, Xicheng District, Beijing, 100045, China

    Yun Peng

  6. Department of Otorhinolaryngology, Children’s Hospital, Capital Institute of Pediatrics, No. 2 Yabao Road, Chaoyang District, Beijing, 100020, China

    Jun Tai

  7. School of Engineering Medicine, Beihang University, Beijing, 100191, China

    Xuemin Ren & Jiangang Liu

  8. Key Laboratory of Big Data-Based Precision Medicine (Beihang University), Ministry of Industry and Information Technology of the People’s Republic of China, No. 37 Xueyuan Road, Haidian District, Beijing, 100191, China

    Xuemin Ren & Jiangang Liu

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  1. Tingting Ji
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Ji, T., Ren, X., Long, T. et al. Aberrant Topological Properties of Brain Functional Network in Children with Obstructive Sleep Apnea Derived from Resting-State fMRI. Brain Topogr 36, 72–86 (2023). https://doi.org/10.1007/s10548-022-00920-1

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