轮班工作睡眠障碍女护士的功能网络拓扑结构和连通性改变。

IF 3.5 4区 医学 Q2 NEUROSCIENCES
Frontiers in Systems Neuroscience Pub Date : 2025-07-15 eCollection Date: 2025-01-01 DOI:10.3389/fnsys.2025.1639981
Hu-Cheng Yang, Si-Yu Gu, Shu-Fang Wang, Jian-Ping Liu, Shu Wang, Hai-Juan Chen, Li Chen, Chun-Mei Song, Qing-He Li, Zhen-Yu Dai, Ping-Lei Pan
{"title":"轮班工作睡眠障碍女护士的功能网络拓扑结构和连通性改变。","authors":"Hu-Cheng Yang, Si-Yu Gu, Shu-Fang Wang, Jian-Ping Liu, Shu Wang, Hai-Juan Chen, Li Chen, Chun-Mei Song, Qing-He Li, Zhen-Yu Dai, Ping-Lei Pan","doi":"10.3389/fnsys.2025.1639981","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Shift work sleep disorder (SWSD) in nurses is highly prevalent and is increasingly recognized for its profound impact on human health. However, the brain functional network topology, which provides a comprehensive map of the brain's information processing architecture, remains partially understood in nurses with SWSD.</p><p><strong>Methods: </strong>45 nurses with SWSD and 45 healthy controls (HCs) underwent a resting-state functional magnetic resonance imaging (rs-fMRI) scan. Graph theoretical analysis was used to investigate alterations in brain functional network topology. Functional network connectivity was further examined in nurses with SWSD relative to HCs. Correlations between network metrics and clinical sleep scores were also examined.</p><p><strong>Results: </strong>Compared to HCs, the SWSD group exhibited significantly lower global network metrics. Additionally, at the regional level, the SWSD group showed reduced nodal efficiency in specific regions, particularly within the visual processing areas and the caudate nucleus. Functional network connectivity analysis revealed a predominant pattern of weakened connectivity within the limbic network (LN), visual network (VN), default mode network (DMN), subcortical network (SN) and between the LN and SN in the SWSD group, although some inter-network connections were strengthened, predominantly the VN-ventral attention network (VAN), frontoparietal network (FPN)-VN, somatomotor network-VAN, and VN-DMN. Furthermore, poorer sleep quality correlated with reduced local efficiency in the visual cortex and insomnia severity was associated with weakened frontal connectivity.</p><p><strong>Conclusions: </strong>This study reveals significant alterations in brain functional network topology and predominantly weakened functional connectivity across multiple brain networks, despite some strengthened inter-network links. These neuroimaging changes correlated with clinical measures of sleep disturbance. Our findings highlight compromised brain network organization in SWSD, offering insights into its neural mechanisms and potential biomarkers.</p>","PeriodicalId":12649,"journal":{"name":"Frontiers in Systems Neuroscience","volume":"19 ","pages":"1639981"},"PeriodicalIF":3.5000,"publicationDate":"2025-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12303962/pdf/","citationCount":"0","resultStr":"{\"title\":\"Altered functional network topology and connectivity in female nurses with shift work sleep disorder.\",\"authors\":\"Hu-Cheng Yang, Si-Yu Gu, Shu-Fang Wang, Jian-Ping Liu, Shu Wang, Hai-Juan Chen, Li Chen, Chun-Mei Song, Qing-He Li, Zhen-Yu Dai, Ping-Lei Pan\",\"doi\":\"10.3389/fnsys.2025.1639981\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Shift work sleep disorder (SWSD) in nurses is highly prevalent and is increasingly recognized for its profound impact on human health. However, the brain functional network topology, which provides a comprehensive map of the brain's information processing architecture, remains partially understood in nurses with SWSD.</p><p><strong>Methods: </strong>45 nurses with SWSD and 45 healthy controls (HCs) underwent a resting-state functional magnetic resonance imaging (rs-fMRI) scan. Graph theoretical analysis was used to investigate alterations in brain functional network topology. Functional network connectivity was further examined in nurses with SWSD relative to HCs. Correlations between network metrics and clinical sleep scores were also examined.</p><p><strong>Results: </strong>Compared to HCs, the SWSD group exhibited significantly lower global network metrics. Additionally, at the regional level, the SWSD group showed reduced nodal efficiency in specific regions, particularly within the visual processing areas and the caudate nucleus. Functional network connectivity analysis revealed a predominant pattern of weakened connectivity within the limbic network (LN), visual network (VN), default mode network (DMN), subcortical network (SN) and between the LN and SN in the SWSD group, although some inter-network connections were strengthened, predominantly the VN-ventral attention network (VAN), frontoparietal network (FPN)-VN, somatomotor network-VAN, and VN-DMN. Furthermore, poorer sleep quality correlated with reduced local efficiency in the visual cortex and insomnia severity was associated with weakened frontal connectivity.</p><p><strong>Conclusions: </strong>This study reveals significant alterations in brain functional network topology and predominantly weakened functional connectivity across multiple brain networks, despite some strengthened inter-network links. These neuroimaging changes correlated with clinical measures of sleep disturbance. Our findings highlight compromised brain network organization in SWSD, offering insights into its neural mechanisms and potential biomarkers.</p>\",\"PeriodicalId\":12649,\"journal\":{\"name\":\"Frontiers in Systems Neuroscience\",\"volume\":\"19 \",\"pages\":\"1639981\"},\"PeriodicalIF\":3.5000,\"publicationDate\":\"2025-07-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12303962/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Frontiers in Systems Neuroscience\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.3389/fnsys.2025.1639981\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q2\",\"JCRName\":\"NEUROSCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in Systems Neuroscience","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3389/fnsys.2025.1639981","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"NEUROSCIENCES","Score":null,"Total":0}
引用次数: 0

摘要

背景:轮班工作睡眠障碍(SWSD)在护士中非常普遍,并日益认识到其对人类健康的深远影响。然而,脑功能网络拓扑结构,提供了大脑信息处理架构的全面地图,仍然部分了解护士与SWSD。方法:对45名SWSD护士和45名健康对照(hc)进行静息状态功能磁共振成像(rs-fMRI)扫描。采用图论分析研究脑功能网络拓扑结构的变化。对SWSD护士与hc患者的功能网络连通性进行进一步检查。网络指标和临床睡眠评分之间的相关性也被检查。结果:与hc相比,SWSD组表现出明显较低的整体网络指标。此外,在区域水平上,SWSD组在特定区域的节点效率降低,特别是在视觉处理区域和尾状核内。功能网络连通性分析显示,SWSD组大脑边缘网络(LN)、视觉网络(VN)、默认模式网络(DMN)、皮质下网络(SN)以及LN和SN之间的连通性明显减弱,但部分网络间的连通性增强,主要是VN-腹侧注意网络(VAN)、额顶叶网络(FPN)-VN、躯体运动网络-VAN和VN-DMN。此外,较差的睡眠质量与视觉皮层局部效率降低有关,而严重的失眠与额叶连通性减弱有关。结论:本研究揭示了脑功能网络拓扑结构的显著改变,多个脑网络之间的功能连接明显减弱,尽管网络间的联系有所加强。这些神经影像学变化与睡眠障碍的临床测量结果相关。我们的研究结果突出了SWSD中受损的大脑网络组织,为其神经机制和潜在的生物标志物提供了见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Altered functional network topology and connectivity in female nurses with shift work sleep disorder.

Altered functional network topology and connectivity in female nurses with shift work sleep disorder.

Altered functional network topology and connectivity in female nurses with shift work sleep disorder.

Altered functional network topology and connectivity in female nurses with shift work sleep disorder.

Background: Shift work sleep disorder (SWSD) in nurses is highly prevalent and is increasingly recognized for its profound impact on human health. However, the brain functional network topology, which provides a comprehensive map of the brain's information processing architecture, remains partially understood in nurses with SWSD.

Methods: 45 nurses with SWSD and 45 healthy controls (HCs) underwent a resting-state functional magnetic resonance imaging (rs-fMRI) scan. Graph theoretical analysis was used to investigate alterations in brain functional network topology. Functional network connectivity was further examined in nurses with SWSD relative to HCs. Correlations between network metrics and clinical sleep scores were also examined.

Results: Compared to HCs, the SWSD group exhibited significantly lower global network metrics. Additionally, at the regional level, the SWSD group showed reduced nodal efficiency in specific regions, particularly within the visual processing areas and the caudate nucleus. Functional network connectivity analysis revealed a predominant pattern of weakened connectivity within the limbic network (LN), visual network (VN), default mode network (DMN), subcortical network (SN) and between the LN and SN in the SWSD group, although some inter-network connections were strengthened, predominantly the VN-ventral attention network (VAN), frontoparietal network (FPN)-VN, somatomotor network-VAN, and VN-DMN. Furthermore, poorer sleep quality correlated with reduced local efficiency in the visual cortex and insomnia severity was associated with weakened frontal connectivity.

Conclusions: This study reveals significant alterations in brain functional network topology and predominantly weakened functional connectivity across multiple brain networks, despite some strengthened inter-network links. These neuroimaging changes correlated with clinical measures of sleep disturbance. Our findings highlight compromised brain network organization in SWSD, offering insights into its neural mechanisms and potential biomarkers.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Frontiers in Systems Neuroscience
Frontiers in Systems Neuroscience Neuroscience-Developmental Neuroscience
CiteScore
6.00
自引率
3.30%
发文量
144
审稿时长
14 weeks
期刊介绍: Frontiers in Systems Neuroscience publishes rigorously peer-reviewed research that advances our understanding of whole systems of the brain, including those involved in sensation, movement, learning and memory, attention, reward, decision-making, reasoning, executive functions, and emotions.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信