Xin Wei

Jan 24, 2025 | sportsmedicine-open.springeropen.com | Hai Li |Xin Wei |Steve Chen |Haiquan Qin |Hongke Jiang |Majed M. Alhumaid | +3 more

While the effects of sleep deprivation on cognitive function are well-documented, its impact on high-intensity endurance performance and underlying neural mechanisms remains underexplored, especially in the context of search and rescue operations where both physical and mental performance are essential. This study examines the neurophysiological basis of sleep deprivation on high-intensity endurance using electroencephalography (EEG). In this crossover study, twenty firefighters were subjected to both sleep deprivation (SD) and normal sleep conditions, with each participant performing endurance treadmill exercise the following morning after each condition. EEG signals were recorded before and after high-intensity endurance exercise, and power spectrum analysis and functional connectivity analysis were performed on sleep related frequency bands rhythm: δ (0.5–4 Hz) and θ (4–8 Hz). The EEG power spectral and functional connectivity were measured by repeated measure analysis of variance. The SD condition had an average sleep duration of 3.78 ± 0.69 h, while the duration for normal sleep was 7.63 ± 0.52 h. After high-intensity endurance exercise, the SD condition had a higher maximum heart rate (p < 0.05) and shorter exercise time (p < 0.05) than normal sleep. Compared with before exercise, the δ band in the left parietal lobe P7 channel increased significantly (p < 0.01), and the θ band in the central Cz channel and the left and right parietal lobe P7 and P8 channel increased significantly (p < 0.01 & p < 0 0.05) in SD and normal sleep conditions after exercise. After exercise, compared with normal sleep, the δ band power in occipital O1 and Oz channels and parietal P7 and TP7 channels in SD significantly decreased (p < 0.05 & p < 0.01); the power of the θ band decreased significantly in the occipital O1 channel, central CZ channel and the left and right parietal P7 and P8 channel (p < 0.05 & p < 0.01). Whole connectivity showed a significant increase (p = 0.001) in the δ band for the SD condition at post-exhaustion. Local connectivity analysis identified a localized network in the δ band with reduced (p < 0.001) post-exhaustion in the SD condition displaying inter-hemispheric differences in certain connections (FP1-CP4, T7-C4, T7-TP8, and O1-FT8) and intra-hemispheric (C3-CPz and Pz-P4) variations. Sleep deprivation significantly reduced maximum endurance performance, indicating decreased neural activity in the central and parietal brain regions. Alterations in δ and θ frequency band power, along with disrupted connectivity, may highlight the neurophysiological basis underlying this decline. • Sleep deprivation significantly impairs high-intensity endurance performance, demonstrated by reduced time to exhaustion and increased maximum heart rate compared to normal sleep conditions. • Sleep-deprived states result in a marked decrease in δ and θ band activity within the central and parietal brain regions, which are essential for motor control and endurance capacity. • Sleep deprivation diminishes the efficiency of information transmission within the δ band network, suggesting disrupted connectivity that may hinder cognitive and motor processes critical to sustaining performance.

Dec 25, 2024 | journalofinfection.com | Huili Zhou |Xindie Ren |Yujing Li |Caihong Ji |Xin Wei |Xiaohan Huang | +10 more

Letter to the EditorArticles in Press106385Open access 1Department of Critical Care Medicine, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China 2Department of Emergency Intensive Care Unit, The Fifth Clinical Medical College of Henan University of Chinese Medicine, Zhengzhou, China 3Department of Neurology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China 4MOE Key Laboratory of Biosystems Hon& Protection, and Zhejiang...

Sep 26, 2024 | nature.com | Xin Wei |Zhang Wang |Hong Qun Luo |Yuxin Leng

AbstractThe lower respiratory tract (LRT) microbiome impacts human health, especially among critically ill patients. However, comprehensive characterizations of the LRT microbiome remain challenging due to low microbial mass and host contamination. We develop a chelex100-based low-biomass microbial-enrichment method (CMEM) that enables deep metagenomic profiling of LRT samples to recover near-complete microbial genomes.

Sep 12, 2024 | digitalpromise.org | Xin Wei

Imagine stepping into a vast, invisible maze where each decision involves rotating, flipping, and twisting pathways in your mind. This isn’t just a puzzle—it’s a crucial skill known as mental rotation (MR), and it’s more important for our students’ futures than you might think. Spatial skills—the ability to visualize, manipulate, and reason about objects and their spatial relationships—are critical for success in many STEM fields, including chemistry, engineering, and aviation.

Aug 22, 2024 | mdpi.com | Xin Wei |Jin Zhou

1. IntroductionDecommissioning is the final stage in the life-cycle of offshore oil and gas (O&G, hereafter) platforms, initiated when operations are no longer economically viable [,]. The decommissioning process primarily focuses on reversing the installation process, from well closure to seabed cleaning, while also adapting to specific challenges such as minimizing impacts on finances, human safety, and the environment [,,].