Research On Brain Function Change Of Simulated Weightlessness In Pilots Based On Complex Network

In civil aviation flight and complex flight training,pilots are often in light weightlessness.When the pilot is in a state of weightlessness,blood flow shifts head-to-head,leading to brain perfusion and metabolic changes.The dissertation uses the basic theory of complex network,based on MATLAB platform,applies image processing related knowledge at the same time,and focuses on analyzing the changes in the topological characteristics of the brain network under simulated weightlessness,and graphically demonstrates the results using related software.Firstly,the present study adopted the-10 ° head-down tilt(HDT)to simulate the microgravity.The brain perfusion functional magnetic resonance image of 21 healthy male subjects was collected.The obtained images were preprocessed and complex network research methods were applied to study the changes of the topological characteristics of the brain network before and after HDT.The results showed that clustering coefficient,average path length were changed in microgravity.Secondly,Fast Newman algorithm was used to classify the brain network with the sparsity at 0.09 respectively to obtain the visual image of the community structure before and after HDT.In addition,the use of magnetic susceptibility-weighted imaging technology to study the changes of cerebral blood flow and related veins before and after HDT,and to analyze the possible causes of "visual impairment and intracranial pressure syndrome".The results of this study showed that the state of weightlessness can affect the cerebral perfusion function network to a certain extent.Under the condition of microgravity,the ability of pilot's brain to integrate and transmit information might be impaired to a certain extent,and the response and judgment time were relatively longer.This study used a noninvasive,functional magnetic resonance imaging technique that provides objective assessments for polits.