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Impaired Topological Architecture of Structural Brain Networks in Obstructive Sleep Apnea: A DTI Study
Yiwei Zhao1,2, Xuerong Shi3, Guo Shen2,4
1The First Clinical Medical College, Gansu University of Traditional Chinese Medicine (Gansu Provincial Hospital), Lanzhou, 730000, People's Republic of China.
Obstructive sleep apnea (OSA) is linked to brain network changes. Diffusion tensor imaging revealed altered white-matter integrity in OSA patients, impacting cognitive function and mood.
Area of Science:
- Neuroimaging
- Neurology
- Sleep Medicine
Background:
- Obstructive sleep apnea (OSA) is associated with white-matter integrity changes.
- Limited research exists on topological alterations in white-matter structural networks in OSA.
Purpose of the Study:
- Investigate alterations in brain structural networks in OSA patients.
- Utilize diffusion tensor imaging (DTI) and network-based statistic (NBS) for analysis.
Main Methods:
- Collected clinical, neuropsychological, and DTI data from 77 OSA patients and 83 healthy controls (HCs).
- Constructed DTI-based structural networks using whole-brain probabilistic tractography.
- Employed NBS analysis to identify network connectivity changes and correlated topological properties with clinical variables.
Main Results:
- Graph theory revealed reduced betweenness centrality (BC) in the left dorsolateral superior frontal gyrus (SFGdor.L) and supplementary motor area (SMA.L) in OSA patients.
- Reduced nodal efficiency (NE) of the SFGdor.L was observed in OSA patients.
- NBS analysis identified abnormalities in a 14-node sub-network with altered connectivity in OSA patients. BC of SMA.L correlated positively with anxiety and cognitive scores. OSA patients showed lower cognitive scores and higher depression/anxiety levels than HCs.
Conclusions:
- Alterations in BC and NE of SFGdor.L and BC of SMA.L suggest neurobiological disruption of white-matter networks in OSA.
- These findings may serve as potential imaging biomarkers for early cerebral involvement in OSA.
- Correlational findings necessitate longitudinal studies to establish temporal relationships and causal effects.
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