| Objective:Brain science research,as one of the hot areas at the forefront of scientific research in the world today,can make a significant contribution to unraveling the operation of the human brain as a complex system and the physiological significance represented by the relevant brain functions.As a special group of people in China,the pilot group is the most precious asset of the country and society,and it takes huge human and material resources to train a mature and excellent pilot.As the aviation environment becomes more complex and international,the selection and training of good pilots requires multiple perspectives and judgements.Combining the traditional complex network theory with the method of brain function imaging data from magnetic resonance imaging,using a systemic viewpoint to analyse the information processing and transmission mechanisms of the pilot’s brain is essential for a better understanding of the brain and to study the relevant changes in pilot brain function after a certain period of flight training.It will provide some reference and reference for the later selection of psychologically competent pilots and the development of flight training courses.Methods:In this thesis,resting-state functional brain imaging data were collected from 26 pilots(flight group)as the experimental group,and 24 general ground workers with matching education,gender and age to the flight group as the control group,after pre-processing the experimental data,26 pilots and 23 ground workers were finally included.Functional magnetic resonance imaging(f MRI)data from the two study groups were collected and combined with complex network theory,the GRETNA brain network analysis toolkit was used to construct the functional brain networks of the flight group and control group,respectively.global and nodal properties are analyzed.A two-sample t-test was used to analyze the statistical differences in network topological properties between the flight and control groups,and to analyze the effect of flight training on such differences in relation to the relevant existing literature.Results:1.Global properties of networks based on complex network theory:The whole-brain functional network of both the flight group and the ground control group satisfied the relevant characteristic properties of the small-world network.And in terms of global properties,the brain functional networks of the flight and control groups were in a balanced state.But the flight group had lower characteristic path length,higher clustering coefficient and higher overall small-world attributes in the judgment of small-world attributes than the control group,suggesting that our relevant information processing efficiency and information integration efficiency would be improved after a certain period of flight training.2.Network node properties based on complex network theory:In terms of medio centricity,the flight group had increased values in three brain regions,the right rectus gyrus(REC.R),the right parahippocampal gyrus(PHG.R)and the right superior parietal gyrus(SPG.R),and decreased values in the right inferior orbital frontal gyrus(ORBinf.R),compared to the control group.On top of the degree centrality study,the flight group had elevated values in four brain regions,the left central sulcus(ROL.L),the right central sulcus cap(ROL.R),the left supplementary motor area(SMA.L),and the left transverse temporal gyrus(HES.L)compared to the control group,and decreased values in the left hippocampus(HIP.L).In terms of nodal clustering coefficients,the flight group had elevated values in three brain regions,the left cuneate lobe(CUN.L),the left postcentral gyrus(Po CG.L),and the left superior temporal gyrus(STG.L),and decreased values in the right inferior parietal limbic gyrus(IPL.R),compared to the control group.In terms of nodal efficiency,three brain regions with elevated values in the left central sulcus(ROL.L),right central sulcus(ROL.R),left supplementary motor area(SMA.L),and left transverse temporal gyrus(HES.L)were found in the flight group compared to the control group,and no brain regions with reduced values were found in the nodes.Conclusion:In this thesis,the pilot group was used as the experimental group and the general ground workers were used as the control group to construct brain functional networks for exploratory studies.The abnormalities in the above indicators may provide some guidance for later training and later selection of pilot-related skills,and will be further validated by subsequent integration of multimodal data. |
