Abnormal temporal variability of thalamo-cortical circuit in patients with moderate-to-severe obstructive sleep apnea.
Ting LongYongqiang ShuXiang LiuLing HuangLi ZengLifeng LiJie ZhanHaijun LiDechang PengPublished in: Journal of sleep research (2024)
This study investigated the abnormal dynamic functional connectivity (dFC) variability of the thalamo-cortical circuit in patients with obstructive sleep apnea (OSA) and explored the relationship between these changes and the clinical characteristics of patients with OSA. A total of 91 newly diagnosed patients with moderate-to-severe OSA and 84 education-matched healthy controls (HCs) were included. All participants underwent neuropsychological testing and a functional magnetic resonance imaging scan. We explored the thalamo-cortical dFC changes by dividing the thalamus into 16 subregions and combining them using a sliding-window approach. Correlation analysis assessed the relationship between dFC variability and clinical features, and the support vector machine method was used for classification. The OSA group exhibited increased dFC variability between the thalamic subregions and extensive cortical areas, compared with the HCs group. Decreased dFC variability was observed in some frontal-occipital-temporal cortical regions. These dFC changes positively correlated with daytime sleepiness, disease severity, and cognitive scores. Altered dFC variability contributed to the discrimination between patients with OSA and HCs, with a classification accuracy of 77.8%. Our findings show thalamo-cortical overactivation and disconnection in patients with OSA, disrupting information flow within the brain networks. These results enhance understanding of the temporal variability of thalamo-cortical circuits in patients with OSA.
Keyphrases
- obstructive sleep apnea
- positive airway pressure
- functional connectivity
- resting state
- magnetic resonance imaging
- sleep apnea
- deep learning
- computed tomography
- healthcare
- machine learning
- magnetic resonance
- depressive symptoms
- working memory
- atomic force microscopy
- physical activity
- sleep quality
- high speed
- single molecule
- high resolution