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
- Zhen Zeng (ORCID: https://orcid.org/0000-0002-3443-0637)
- Lisha Nie
- Hua Yang (ORCID: https://orcid.org/0000-0001-5536-503X)
- Liuheng Liu
- Cong Peng (ORCID: https://orcid.org/0000-0001-9475-3684)
- Dingbo Guo
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