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Drug-Induced Sleep Endoscopy DISE with Target Controlled Infusion TCI and Bispectral Analysis in Obstructive Sleep Apnea
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Brain Structure Network Analysis in Patients with Obstructive Sleep Apnea.

Yun-Gang Luo1, Defeng Wang2, Kai Liu3

  • 1Department of Stomatology, The Second Hospital of Jilin University, Changchun, 130041, Jilin Province, China.

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|September 29, 2015
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Summary
This summary is machine-generated.

Childhood obstructive sleep apnea (OSA) alters brain structure networks. This study found decreased network efficiency and altered regional connectivity in children with OSA, offering new insights into its neuropathophysiology.

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Area of Science:

  • Neuroscience
  • Medical Imaging
  • Network Science

Background:

  • Childhood obstructive sleep apnea (OSA) is a common sleep disorder in school-aged children.
  • OSA involves repeated upper airway blockage during sleep, potentially impacting brain development.
  • Understanding the neuropathophysiology of OSA is crucial for effective intervention.

Purpose of the Study:

  • To investigate topological alterations in the brain's structural correlation network in children with OSA.
  • To compare global and regional network properties between children with OSA and healthy controls.
  • To explore the neuropathophysiology of OSA from a network perspective.

Main Methods:

  • Graph theoretical analysis was applied to brain morphometric correlation networks.
  • Structural correlation networks were constructed based on regional gray matter volume for OSA patients and controls.
  • Global and regional network properties, including local efficiency and centrality, were analyzed.

Main Results:

  • A significantly decreased mean local efficiency was observed in the OSA group compared to controls.
  • Tendencies of decreased betweenness centrality in the left angular gyrus and decreased degree in the right lingual and inferior frontal gyri were found in OSA patients.
  • Network hubs exhibited different distributions between the OSA and control groups.

Conclusions:

  • This study provides the first characterization of brain structure networks in childhood OSA using gray matter volume.
  • Findings suggest alterations in global and regional brain network topology associated with OSA in children.
  • The results offer novel evidence for understanding the neuropathophysiology of OSA through a topological lens.