An Exploratory Research Of The Effects Of Flight Training On Sensorimotor Networks

Objective:Using resting-state functional magnetic resonance imaging(rs-f MRI)technology to study the effect of flight training on the internal functional integration of sensorimotor network(SMN)and the changes in functional connections between networks,in order to explore pilots The internal mechanism of sensorimotor function changes provides a theoretical basis,and an attempt is made to link SMN function with psychomotor ability.Starting from the level of pilot psychological selection,it explores the enhancement of pilot selection and training to improve flight safety.Subjects and Methods:Twenty-six pilots who have undergone flight training are selected,and 24 other professional personnel who have not been trained in flight training are selected as the control group.The control group is based on the independent component analysis(ICA).)Method,the SMN network of the selected two groups of people is statistically compared and functional connectivity(FC)analysis is performed,and then the difference between the flight hours and the ICA between the groups and the functional connection after the functional connection analysis Correlation analysis is performed on the intensity value.1.Use GE DISCOVERY MR 750 3.0T magnetic resonance imager to collect structure image,functional image and rs-f MRI data of the brains of the two groups of subjects.2.Use Rest plus software based on MATLAB R2013 b platform to perform rs-f MRI data preprocessing analysis,including: removing the first 5 time points,time correction,head movement correction,spatial standardization,linear drift removal,covariate removal,lowfrequency filtering(Bandwidth: 0.01～0.08Hz)and spatial smoothing.3.Use GIFT software based on MATLAB R2013 b platform to segment the independent components after data preprocessing,estimate the number of independent components,and then select SMN as the region of interest(ROI)through a two-step method.4.Combine the SMNs of the flight group and the control group into one group,and use the SPM 12 toolkit to perform a single-sample t test(P<0.001)on the SMNs of the entire group of subjects to obtain the SMN mask.5.Using the two-sample t-test in the SPM 12 software,the age was used as a covariate for regression,and the ICA group of the flight group and the control group were compared in the SMN mask.Record and observe the location,size,peak MNI coordinates and peak t value of statistically significant brain regions.6.For the preprocessed rs-f MRI data,use Rest plus software to perform FC analysis of voxel levels.Differences between groups were performed by two-sample t-test(GRF correction,P<0.05)and single-sample t-test(FDR correction)Perform within the resulting mask.In statistics,age is also used as a covariate for regression.Record and observe the location,size,peak MNI coordinates and peak t value of statistically significant brain regions.7.Using SPSS 25 statistical analysis software,using Kendall’s correlation analysis method,observe the correlation between the difference between the flight group and the control group and the number of flight hours after independent component analysis in the SMN,and the passing function The correlation between the difference between the two groups and the number of flight hours after connection analysis.Results:1.Compared with the control group without flight training,the SMN component of the flight group has obvious functional enhancement,and the enhanced brain area is the right postcentral gyrus(right postcentral gyrus).2.After taking the area of the right central posterior gyrus in the SMN as an ROI and building a functional connection with the whole brain,it is found that the functional connectivity between this brain area and itself has been significantly enhanced.3.The difference between the independent component analysis of the two groups of subjects extracted in the study.The ROI signal value of the brain area and the number of flight hours are analyzed by Kendall.The results show that the two are not correlated,and there is a difference between the groups in the functional connectivity analysis.The value is also not related to the number of flight hours.Conclusions:Flight training may produce functional integration and enhancement changes in the pilot’s brain,and increase the functional connection in the SMN,which may enhance the sensorimotor function of the pilot’s left body and further enhance the pilot’s psychomotor ability.These findings indicate that SMN plays an important role in the neurophysiological mechanism of flight.