Journal Article

Dynamic regional homogeneity alterations and cognitive impairment in patients with moderate and severe obstructive sleep apnea

Zeng, Li, Liu, Xiang, Long, Ting, Huang, Ling, Shu, Yongqiang, Yu, Pengfei, Li, Panmei, Li, Kunyao, Kong, Linghong, Peng, Dechang, Xie, Wei, Zeng, Yaping, Li, Haijun

2022

Overview

Background and Purpose: Previous studies have found that abnormal local spontaneous brain activity in patients with obstructive sleep apnea (OSA) was associated with cognitive impairment, and dynamic functional connections can capture the time changes of functional connections during magnetic resonance imaging acquisition. The purpose of this study was to investigate the dynamic characteristics of regional brain connectivity and its relationship with cognitive function in patients with OSA and to explore whether the dynamic changes can be used to distinguish them from healthy controls (HCs). Methods: Seventy-nine moderate and severe male OSA patients without any treatment and eighty-four HCs with similar age and education were recruited, and clinical data and resting functional magnetic resonance imaging data were collected. The dynamic regional homogeneity (dReHo) was calculated using a sliding window technique, and a double-sample t test was used to test the difference in the dReHo map between OSA patients and HCs. We explored the relationship between dReHo and clinical and cognitive function in OSA patients using Pearson correlation analysis. A support vector machine was used to classify the OSA patients and HCs based on abnormal dReHo. Result: Compared with HCs, OSA patients exhibited higher dReHo values in the right medial frontal gyrus and significantly lower dReHo values in the right putamen, right superior temporal gyrus, right cingulate gyrus, left insula and left precuneus. The correlation analysis showed that the abnormal dReHo values in multiple brain regions in patients with OSA were significantly correlated with nadir oxygen saturation, the oxygen depletion index, sleep period time, and Montreal cognitive assessment score. The support vector machine classification accuracy based on the dReHo difference in brain regions was 81.60%, precision was 81.01%, sensitivity was 81.01%, specificity was 82.14%, and area under the curve was 0.89. Conclusion: The results of this study suggested that there was abnormal dynamic regional spontaneous brain activity in OSA patients, which was related to clinical and cognitive evaluation and can be used to distinguish OSA patients from HCs. The dReHo is a potential objective neuroimaging marker for patients with OSA that can further the understanding of the neuropathological mechanism of OSA patients.

• Publisher: Frontiers Research Foundation
• Subject: Apnea / Brain / Brain mapping / Cognitive ability / Correlation analysis / Cortex (parietal) / Disease / Electroencephalography / Frontal gyrus / Functional magnetic resonance imaging / Hypertension / Machine learning / Magnetic resonance imaging / Medical imaging / Memory / Neural networks / Neuroimaging / Otolaryngology / Oxygen depletion / Oxygen saturation / Patients / Putamen / Sleep / Sleep apnea / Sleep disorders / Superior temporal gyrus / Support vector machines / Temporal gyrus