Sleep Medicine · 2023 · 15 citations · 60 references
MedicineNeurobiologyNeuroscienceCognitive NeuroscienceSleep MedicineSleep NeurologyBrain ConnectivityBrain ImagingFunctional ConnectivityFunctional NeuroimagingSleep-disordered BreathingSleep-related Breathing DisordersBrain RegionsDynamic ConnectivityFunctional Brain ConnectivityFunctional Connectivity AssessmentFunctional Connectivity ImagingFunctional Connectivity MriFunctional Magnetic Resonance ImagingResting-state Connectivity
OBJECTIVE: To investigate the dynamic change characteristics of dynamic functional connectivity (dFC) between the hippocampal subregions (anterior and posterior) and other brain regions in obstructive sleep apnoea (OSA) and its relationship with cognitive function, and to explore whether these characteristics can be used to distinguish OSA from healthy controls (HCs). METHODS: Eighty-five patients with newly diagnosed moderate-to-severe OSA and 85 HCs were enrolled. All participants underwent resting-state functional magnetic resonance imaging (fMRI). The difference between dFC values between the hippocampal subregions and other brain regions in OSA patients and HCs was compared using the two-sample t tests. Correlation analyses were used to assess the relationship between dFC, clinical data, and cognitive functions in OSA patients. dFC values from different brain regions were used as classification features to distinguish between the two groups using a support vector machine. RESULTS: Compared with HCs, the dFC values between the left anterior hippocampus and right culmen of the cerebellum anterior lobe, right anterior hippocampus and left lingual gyrus, and left posterior hippocampus and left precentral gyrus were significantly lower, and the dFC values between the left posterior hippocampus and precuneus were significantly higher in OSA patients. The dFC values between the left posterior hippocampus and the precuneus of OSA patients were associated with sleep-related indicators and Montreal Cognitive Assessment scores. Support vector machine analysis results showed that dFC values in different brain regions could distinguish OSA patients from HCs. CONCLUSION: dFC patterns between the hippocampal subregions and other brain regions were altered in patients with OSA, including the cerebellum, default mode networks, sensorimotor networks, and visual function networks, which is possibly associated with cognitive decline. In addition, the dFC values of different brain regions could effectively distinguish OSA patients from HCs. These findings provide new perspectives on neurocognition in these patients.
60
Richard B. Berry, Rohit Budhiraja, Daniel J. Gottlieb et al. · Journal of Clinical Sleep Medicine · 2012 · 5.2K citations · Full text
The Human Brainnetome Atlas: A New Brain Atlas Based on Connectional Architecture
Lingzhong Fan, Hai Li, Junjie Zhuo et al. · Cerebral Cortex · 2016 · 3.2K citations · Full text
Medicine, Anatomy, Neuroscience +17
Toward discovery science of human brain function
Bharat B. Biswal, Maarten Mennes, Xi‐Nian Zuo et al. · Proceedings of the National Academy of Sciences · 2010 · 3.1K citations · Full text