Total Sleep Deprivation Alters Brain Network Topology in Medical Staff: A Resting-State fMRI Study

Motivation: Medical staff frequently experience sleep deprivation, impacting both their health and patient care quality. Understanding brain network changes under sleep deprivation can guide preventive strategies. Goal(s): To evaluate the impact of total sleep deprivation (TSD) on brain network topology in medical staff. Approach: Resting-state fMRI data were analyzed using graph-theory methods to assess global and local brain network properties, examining topological changes induced by TSD. Results: Both groups showed small-world properties. The TSD group exhibited higher clustering coefficients and degree centrality in the right superior medial frontal gyrus, with reduced nodal efficiency in the left fusiform gyrus. Impact: By identifying key brain network nodes affected by total sleep deprivation, this study provides insights into neural adaptations under sleep deprivation, offering a foundation for developing targeted interventions to mitigate its cognitive and health impacts.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2025-09-16
DOI
https://doi.org/10.58530/2025/2488
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
0.00
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article

Total Sleep Deprivation Alters Brain Network Topology in Medical Staff: A Resting-State fMRI Study

Zhen Zeng, Lisha Nie, Hua Yang, Liuheng Liu et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
EEG and Brain-Computer Interfaces
article

Total Sleep Deprivation Alters Brain Network Topology in Medical Staff: A Resting-State fMRI Study

Zhen Zeng, Lisha Nie, Hua Yang, Liuheng Liu, Cong Peng, Dingbo Guo
article en

Abstract

Motivation: Medical staff frequently experience sleep deprivation, impacting both their health and patient care quality. Understanding brain network changes under sleep deprivation can guide preventive strategies. Goal(s): To evaluate the impact of total sleep deprivation (TSD) on brain network topology in medical staff. Approach: Resting-state fMRI data were analyzed using graph-theory methods to assess global and local brain network properties, examining topological changes induced by TSD. Results: Both groups showed small-world properties. The TSD group exhibited higher clustering coefficients and degree centrality in the right superior medial frontal gyrus, with reduced nodal efficiency in the left fusiform gyrus. Impact: By identifying key brain network nodes affected by total sleep deprivation, this study provides insights into neural adaptations under sleep deprivation, offering a foundation for developing targeted interventions to mitigate its cognitive and health impacts.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 75%
EEG and Brain-Computer Interfaces
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