AUTHOR=Dai Yangyang , He Qiheng , Wang Shan , Cao Tianqing , Chai Xiaoke , Wang Nan , Dong Yijun , Wong Peiling , He Jianghong , Duan Feng , Yang Yi TITLE=Deciphering network dysregulations and temporo-spatial dynamics in disorders of consciousness: insights from minimum spanning tree analysis JOURNAL=Frontiers in Psychology VOLUME=Volume 15 - 2024 YEAR=2024 URL=https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2024.1458339 DOI=10.3389/fpsyg.2024.1458339 ISSN=1664-1078 ABSTRACT=The neural mechanism associated with impaired consciousness is not fully clear. We aim to explore the association between static and dynamic minimum spanning tree (MST) characteristics and neural mechanism underlying impaired consciousness.Methods: MSTs were constructed based on full-length functional magnetic resonance imaging signals and signal segments within each time window. Global and local measures of static MSTs, as well as spatio-temporal interaction characteristics of dynamic MSTs were investigated.A disruption or an alteration in the functional connectivity, the decreased average coupling strength and the reorganization of hub nodes were observed in MCS patients and VS patients. The analysis of global and local measures quantitatively supported altered static functional connectivity patterns and revealed a slower information transmission efficiency in both patient groups. From a dynamic perspective, the spatial distribution of hub nodes exhibits relative stability over time in both normal and patient populations. The increased temporal variability in multiple brain regions within resting-state networks associated with consciousness was detected in MCS patients and VS patients, especially thalamus. As well, the increased spatial variability in multiple brain regions within these resting-state networks was detected in MCS patients and VS patients. In addition, local measures and spatiotemporal variability analysis indicate that the differences in network structure between two groups of patients are mainly in frontoparietal network and auditory network.Our findings suggest that static and dynamic MST characteristics may shed some light on neural mechanism underlying impaired consciousness.