Alteration in brain resting state networks after sleep deprivation using functional magnetic resonance imaging

One of the critical parts of human life is sleeping. Sleep Deprivation (SD) is defined as sleep-loss status generally caused by personal or environmental reasons. It becomes an inherent problem to shift work, e.g., Intensive Care Unit (ICU) physicians or drivers, is prevalent in modern society and profoundly affectscognitive function, attention, learning, and working memory.

The data set obtained from Stockholm University in the Sleepy Brain project was evaluated using brain image analysis software, FSL. The statistical double regression method was used to investigate the significant differences between different brain regions. According to the Yeo Atlas, the components of the independent group analysis were assigned to seven brain networks. For this purpose, the brain communication matrix was calculated for two fundamental quantities before and after SD. The first quantity is the intra-network communication for each network’s independent components, and the second quantity is the intra-network communication, indicating the weakening or strengthening of the communication between the seven introduced networks.

A significant difference was found between N1 and N5 networks (Five networks related to visual function and limbic network) among five networks for which intra-network comparison is possible. In addition, significant differences were observed between networks for N1-N7, N2-N6, N3-N7, and finally, N4-N6 networks in SD and normal conditions.

The relationship between visual and limbic networks between regions and brain networks that are statistically significant in people with SD and normal people can be interpreted as affecting the cognitive functions of memory and attention.