↓ Skip to main content

Dove Medical Press

Disrupted small-world brain functional network topology in male patients with severe obstructive sleep apnea revealed by resting-state fMRI

Overview of attention for article published in Neuropsychiatric Disease and Treatment, June 2017
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 X user
facebook
2 Facebook pages

Readers on

mendeley
44 Mendeley
Title
Disrupted small-world brain functional network topology in male patients with severe obstructive sleep apnea revealed by resting-state fMRI
Published in
Neuropsychiatric Disease and Treatment, June 2017
DOI 10.2147/ndt.s135426
Pubmed ID
Authors

Li-Ting Chen, Xiao-Le Fan, Hai-Jun Li, Si Nie, Hong-Han Gong, Wei Zhang, Xian-Jun Zeng, Ping Long, De-Chang Peng

Abstract

Obstructive sleep apnea (OSA) is a common sleep-related breathing disorder that can damage cognitive function. However, the functional network organization remains poorly understood. The aim of this study was to investigate the topological properties of OSA patients using a graph theoretical analysis. A total of 30 male patients with untreated severe OSA and 25 male education- and age-matched good sleepers (GSs) underwent functional magnetic resonance imaging (MRI) examinations. Clinical and cognitive evaluations were conducted by an experienced psychologist. GRETNA (a toolbox for topological analysis of imaging connectomics) was used to construct the brain functional network and calculate the small-world properties (γ, λ, σ, Eglob, and Eloc). Relationships between these small-world properties and clinical and neuropsychological assessments were investigated in OSA patients. The networks of both OSA patients and GSs exhibited efficient small-world topology over the sparsity range of 0.05-0.40. Compared with GSs, the OSA group had significantly decreased γ, but significantly increased λ and σ. The OSA group's brain network showed significantly decreased Eglob (P<0.05) over the sparsity range of 0.09-0.15, but significantly increased Eloc over the sparsity range of 0.23-0.40. In OSA patients, γ was significantly negatively correlated with apnea-hypopnea index (AHI; r=-0.326, P=0.015) and Epworth Sleepiness Scale (ESS; r=-0.274, P=0.043), λ was significantly positively correlated with AHI (r=0.373, P=0.005) and ESS (r=0.269, P=0.047), and σ was significantly negatively correlated with AHI (r=-0.363, P=0.007) and ESS (r=-0.295, P=0.029). Our results suggest that the high degree of local integration and integrity of the brain connections in OSA patients may be disrupted. The topological alterations of small-world properties may be the mechanism of cognitive impairment in OSA patients. In addition, σ, γ, and λ could be used as a quantitative physiological index for auxiliary clinical diagnoses.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 8 18%
Student > Ph. D. Student 8 18%
Student > Master 4 9%
Student > Bachelor 3 7%
Other 2 5%
Other 5 11%
Unknown 14 32%
Readers by discipline Count As %
Medicine and Dentistry 9 20%
Psychology 5 11%
Neuroscience 4 9%
Nursing and Health Professions 2 5%
Business, Management and Accounting 1 2%
Other 5 11%
Unknown 18 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 June 2017.
All research outputs
#17,438,425
of 25,584,565 outputs
Outputs from Neuropsychiatric Disease and Treatment
#1,869
of 3,120 outputs
Outputs of similar age
#211,512
of 331,010 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#47
of 85 outputs
Altmetric has tracked 25,584,565 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,120 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one is in the 30th percentile – i.e., 30% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 331,010 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 85 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.