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ArticleFrontiers in public health2025

Abnormal intrinsic functional hubs and connectivity in nurses with occupational burnout: a resting-state fMRI study.

Jian-Ping Liu, Si-Yu Gu, Chun-Mei Song, Hu-Cheng Yang, Yang Shi, Yu-Fang Gu, Shu-Fang Wang, Ying-Zhu Chen

Abstract read
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Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Jian-Ping Liu *School of Nursing and Public Health, Yangzhou University, Yangzhou, China.
Si-Yu Gu *Department of Radiology, Affiliated Hospital 6 of Nantong University, Yancheng Third People's Hospital, Yancheng, China.
Chun-Mei Song *Department of Disinfection Supply Center, Affiliated Hospital 6 of Nantong University, Yancheng Third People's Hospital, Yancheng, China.
Hu-Cheng YangDepartment of Radiology, Binhai Maternal and Child Health Hospital, Yancheng, China.
Yang ShiDepartment of Neurology, Yangzhou Wutaishan Hospital of Jiangsu Province, Teaching Hospital of Yangzhou University, Yangzhou, China.
Yu-Fang GuSchool of Nursing and Public Health, Yangzhou University, Yangzhou, China.
Shu-Fang WangDepartment of Neurology, Yancheng Clinical Medical College of Yangzhou University, Yancheng Third People's Hospital, Yancheng, China.
Ying-Zhu ChenDepartment of Geriatrics, Northern Jiangsu People's Hospital Affiliated to Yangzhou University, Yangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Occupational burnout is a significant problem among nurses, linked to negative outcomes. Understanding its neurobiological basis is crucial, yet remains limited. Methods: Resting-state functional magnetic resonance imaging (rs-fMRI) data were acquired from 40 female nurses with occupational burnout and 40 healthy controls. Degree centrality (DC) was calculated to identify functional hubs, and subsequent functional connectivity (FC) analysis was performed. Group differences in DC and FC were statistically compared. Their correlations with Maslach Burnout Inventory-Human Services Survey (MBI-HSS) scores were assessed, and a classification model was built using DC and FC features to distinguish between burnout and control groups. Results: The burnout group showed significantly decreased DC in bilateral precuneus and reduced FC between left precuneus and right medial orbitofrontal cortex (mOFC) compared to the healthy control group. These neuroimaging markers correlated with clinical burnout dimensions: precuneus DC negatively associated with emotional exhaustion and depersonalization, while precuneus-mOFC connectivity positively correlated with personal accomplishment. A linear discriminant analysis model combining DC and FC measures achieved 85% classification accuracy (sensitivity 80%, specificity 90%) in distinguishing burnout from controls. Conclusion: These findings identify the precuneus and its mOFC connectivity as key neural substrates of occupational burnout, suggesting disrupted integration between self-referential processing and reward/emotion regulation systems. Our results advance understanding of burnout's neurobiological mechanisms and demonstrate the potential of neuroimaging markers for objective burnout assessment.

Indexed as

Burnout, ProfessionalMagnetic Resonance ImagingNursesAdultBrainFemaleHumansburnoutdegree centralityfunctional connectivitymedial orbitofrontal cortexprecuneusresting-state functional MRI

Identifiers

PMID40589802
PMCPMC12206858

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.