Keywords: fMRI Analysis, fMRI (resting state)
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.
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