Altered cortical structure network in children with obstructive sleep apnea
- Authors
- Lee, Min-Hee; Sin, Sanghun; Lee, Seonjoo; Park, Hyunbin; Wagshul, Mark E.; Zimmerman, Molly E.; Arens, Raanan
- Issue Date
- May-2022
- Publisher
- The American Academy of Sleep Medicine
- Keywords
- children with obstructive sleep apnea; T1-weighted imaging; cortical thickness; cortical structure network
- Citation
- Sleep, v.45, no.5
- Indexed
- SCIE
SCOPUS
- Journal Title
- Sleep
- Volume
- 45
- Number
- 5
- URI
- https://scholarworks.korea.ac.kr/kumedicine/handle/2021.sw.kumedicine/55495
- DOI
- 10.1093/sleep/zsac030
- ISSN
- 0161-8105
1550-9109
- Abstract
- Study Objectives
Obstructive sleep apnea (OSA) is characterized by recurrent airway collapse during sleep, resulting in intermittent hypoxia and sleep fragmentation that may contribute to alternations in brain structure and function. We hypothesized that OSA in children reorganizes and alters cortical structure, which can cause changes in cortical thickness correlation between brain regions across subjects.
Methods
We constructed cortical structure networks based on cortical thickness measurements from 41 controls (age 15.54 ± 1.66 years, male 19) and 50 children with OSA (age 15.32 ± 1.65 years, male 29). The global (clustering coefficient [CC], path length, and small-worldness) and regional (nodal betweenness centrality, NBC) network properties and hub region distributions were examined between groups.
Results
We found increased CCs in OSA compared to controls across a wide range of network densities (p-value < .05) and lower NBC area under the curve in left caudal anterior cingulate, left caudal middle frontal, left fusiform, left transverse temporal, right pars opercularis, and right precentral gyri (p-value < .05). In addition, while most of the hub regions were the same between groups, the OSA group had fewer hub regions and a different hub distribution compared to controls.
Conclusions
Our findings suggest that children with OSA exhibit altered global and regional network characteristics compared to healthy controls. Our approach to the investigation of cortical structure in children with OSA could prove useful in understanding the etiology of OSA-related brain functional disorders.
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Collections - 4. Research institute > Institute of Human Genomic study > 1. Journal Articles
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