兰州大学机构库
Functional Connectome Hierarchy Distortions in Female Nurses With Occupational Burnout and Its Gene Expression Signatures
Shang, Yingying1; Su, Qian2,3; Ma, Rong1; Chen, Miao1; Zhao, Ziyang1; Yao, Chaofan1; Han, Lin2,3,4; Yao, Zhijun1; Hu, Bin1,5,6,7
2023-09-20
Online publication date2023-09
Source PublicationJOURNAL OF MAGNETIC RESONANCE IMAGING   Impact Factor & Quartile
ISSN1053-1807 ; 1522-2586
EISSN1522-2586
page numbers13
AbstractBackground: Burnout has become a serious public health issue worldwide, particularly during the COVID-19 pandemic. Functional connectome impairments associated with occupational burnout were widely distributed, involving both lowlevel sensorimotor cortices and high-level association cortices. Purpose: To investigate whether there are hierarchical perturbations in the functional connectomes and if these perturbations are potentially influenced by genetic factors in nurses who feel burned out. Study Type: Prospective, case control. Population: Thirty-three female nurses with occupational burnout (aged 27-40, 32.42 +/- 3.37) and 32 matched nurses who were not feeling burned out (aged 27-42, 32.50 +/- 4.21). Field Strength/Sequence: 3.0 T, gradient-echo echo-planar imaging sequence (GE-EPI). Assessment: Gradient-based techniques were used to depict the perturbations in the multi-dimensional hierarchical structure of the macroscale connectome. Gene expression data were acquired from the Allen Human Brain Atlas. Statistical Tests: Cortex-wide multivariate analyses were used for between-group differences in gradients as well as association analyses between the hierarchy distortions and the MBI score (FDR corrected). Partial least squares, spin test and bootstrapping were utilized together to select the gene sets (FDR corrected). Gene enrichment analyses (GO, KEGG and cell-type) were further performed. Significance level: P < 0.05. Results: There were significant gradient distortions, with strong between-group effects in the somatosensory network and moderate effects in the higher-order default-mode network, which were significantly correlated with the gene expression profiles (r = 0.3171). The most related genes were broadly involved in the cellular response to minerals, neuronal plasticity, and the circadian rhythm pathway (q value < 0.01). Significant enrichments were found in excitatory (r = 0.2588), inhibitory neurons (r = 0.2610), and astrocytes cells (r = 0.2633). Regions affected by burnout severity were mainly distributed in the association and visual cortices. Data Conclusion: By connecting in vivo imaging to genes, cell classes, and clinical data, this study provides a framework to understand functional impairments in occupational burnout and how the microscopic genetic architecture drive macroscopic distortions.
Keywordresting-state functional magnetic occupational burnout functional connectome gradient gene expression imaging-transcriptomics analysis
PublisherWILEY
DOI10.1002/jmri.28985
Indexed BySCIE
Language英语
WOS Research AreaRadiology, Nuclear Medicine & Medical Imaging
WOS SubjectRadiology, Nuclear Medicine & Medical Imaging
WOS IDWOS:001068848500001
Original Document TypeArticle ; Early Access
PMID 37728385
Citation statistics
Document Type期刊论文
Identifierhttps://ir.lzu.edu.cn/handle/262010/568956
Collection兰州大学
Corresponding AuthorHan, Lin; Yao, Zhijun; Hu, Bin
Affiliation
1.Lanzhou Univ, Sch Informat Sci & Engn, Gansu Prov Key Lab Wearable Comp, Lanzhou 730000, Gansu Prov, Peoples R China;
2.Gansu Prov Hosp, Dept Nursing, Lanzhou 730000, Gansu Prov, Peoples R China;
3.Lanzhou Univ, Clin Med Sch 1, Lanzhou 730000, Gansu Prov, Peoples R China;
4.Lanzhou Univ, Sch Nursing, Lanzhou 730000, Gansu Prov, Peoples R China;
5.Lanzhou Univ, Joint Res Ctr Cognit Neurosensor Technol, Lanzhou, Gansu Prov, Peoples R China;
6.Chinese Acad Sci, Inst Semicond, Lanzhou 730000, Gansu Prov, Peoples R China;
7.Lanzhou Univ, Engn Res Ctr Open Source Software & Real Time Syst, Minist Educ, Lanzhou 730000, Gansu Prov, Peoples R China
Recommended Citation
GB/T 7714
Shang, Yingying,Su, Qian,Ma, Rong,et al. Functional Connectome Hierarchy Distortions in Female Nurses With Occupational Burnout and Its Gene Expression Signatures[J]. JOURNAL OF MAGNETIC RESONANCE IMAGING,2023.
APA Shang, Yingying.,Su, Qian.,Ma, Rong.,Chen, Miao.,Zhao, Ziyang.,...&Hu, Bin.(2023).Functional Connectome Hierarchy Distortions in Female Nurses With Occupational Burnout and Its Gene Expression Signatures.JOURNAL OF MAGNETIC RESONANCE IMAGING.
MLA Shang, Yingying,et al."Functional Connectome Hierarchy Distortions in Female Nurses With Occupational Burnout and Its Gene Expression Signatures".JOURNAL OF MAGNETIC RESONANCE IMAGING (2023).
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