Sleep deprivation changes frequency-specific functional organization of the resting human brain

判别式 静息状态功能磁共振成像 功能磁共振成像 默认模式网络 清醒 人脑 神经科学 无线电频谱 心理学 模式识别(心理学) 人工智能 计算机科学 脑电图 认知心理学 电信
作者
Zhiguo Luo,Erwei Yin,Ye Yan,Shaokai Zhao,Liang Xie,Hui Shen,Ling‐Li Zeng,Lubin Wang,Dewen Hu
出处
期刊:Brain Research Bulletin [Elsevier]
卷期号:210: 110925-110925
标识
DOI:10.1016/j.brainresbull.2024.110925
摘要

Previous resting-state functional magnetic resonance imaging (rs-fMRI) studies have widely explored the temporal connection changes in the human brain following long-term sleep deprivation (SD). However, the frequency-specific topological properties of sleep-deprived functional networks remain virtually unclear. In this study, thirty-seven healthy male subjects underwent resting-state fMRI during rested wakefulness (RW) and after 36 hours of SD, and we examined frequency-specific spectral connection changes (0.01–0.08 Hz, interval = 0.01 Hz) caused by SD. First, we conducted a multivariate pattern analysis combining linear SVM classifiers with a robust feature selection algorithm, and the results revealed that accuracies of 74.29%-84.29% could be achieved in the classification between RW and SD states in leave-one-out cross-validation at different frequency bands, moreover, the spectral connection at the lowest and highest frequency bands exhibited higher discriminative power. Connection involving the cingulo-opercular network increased most, while connection involving the default-mode network decreased most following SD. Then we performed a graph-theoretic analysis and observed reduced low-frequency modularity and high-frequency global efficiency in the SD state. Moreover, hub regions, which were primarily situated in the cerebellum and the cingulo-opercular network after SD, exhibited high discriminative power in the aforementioned classification consistently. The findings may indicate the frequency-dependent effects of SD on the functional network topology and its efficiency of information exchange, providing new insights into the impact of SD on the human brain.
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