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Small-world properties of the whole-brain functional networks in patients with obstructive sleep apnea-hypopnea syndrome
- Source :
- Sleep medicine. 62
- Publication Year :
- 2018
-
Abstract
- Objective To explore the small-world properties of brain functional networks in patients with obstructive sleep apnea−hypopnea syndrome (OSAHS) to aid diagnosis. Methods A total of 29 OSAHS patients and 26 matched healthy volunteers were scanned with blood oxygen level−dependent functional magnetic resonance imaging (BOLD-fMRI) separately, and the whole brain was divided into 90 districts via automated anatomical labeling. The matrix Z was then built through a Fisher Z transformation. Two-sample t tests were applied to evaluate the changes in small-world properties in OSAHS patients compared to the control group. The properties included Eglobal, Elocal, and small-world parameters Lp, Cp, γ, λ, and σ. Results Both groups satisfied the small-world properties (σ > 1) within the sparsity range of 0.1–0.2. However, compared with the control group, the OSAHS group performed significantly lower in Cp, Elocal, and Eglobal (p Conclusion Both healthy and OSAHS patients exhibited small-world properties in functional networks, but a subset of these small-world properties in OSAHS patients performed differently. These changes will not only provide a new perspective for pathophysiological mechanisms of OSAHS but will also help in understanding the disease in terms of whole-brain functional networks.
- Subjects :
- Adult
Male
medicine.medical_specialty
Polysomnography
Body Mass Index
Functional networks
03 medical and health sciences
0302 clinical medicine
Internal medicine
Healthy volunteers
medicine
Humans
In patient
Sleep Apnea, Obstructive
medicine.diagnostic_test
business.industry
Functional Neuroimaging
Incidence
Brain
Magnetic resonance imaging
General Medicine
Middle Aged
medicine.disease
Mental Status and Dementia Tests
Control Groups
Magnetic Resonance Imaging
Obstructive sleep apnea
Oxygen
030228 respiratory system
Case-Control Studies
Cardiology
Female
Neural Networks, Computer
Functional magnetic resonance imaging
business
Hypopnea
030217 neurology & neurosurgery
Algorithms
Subjects
Details
- ISSN :
- 18785506
- Volume :
- 62
- Database :
- OpenAIRE
- Journal :
- Sleep medicine
- Accession number :
- edsair.doi.dedup.....6c0170836ef90acca475ac72a1c1303e