The Measurement Of Cerebral Metabolic Rate Of Oxygen At Baseline And During Task States And Its Relationship With Brain White-matter Network Topology

Objective: The brain network is a complex neural network.Diffusion tensor imaging(DTI)combined with graph theory analysis is used to establish the structural network,and calculate its global topological metrics.The energy requirement of the brain is mainly dependent on oxidative metabolism.Recent studies have shown that the brain's functional networks are associated with the brain metabolism.Structure and function are closely related,structural changes usually accompanied by the corresponding functions.The goal of this study is to compare the cerebral metabolic rate of oxygen both at baseline and during task states,and to investigate the relationship between structural network and brain oxygen metabolism.Methods: In the present study,we collected normal young volunteers as the research subjects.We applied T2 relaxation under spin tagging(TRUST)technology to quantify venous oxygen,as well as pseudo continuous arterial spin labeling(p CASL)to quantify cerebral blood flow,Fick's principle was used to calculate the whole brain oxygen metabolic in rest and Stroop task.Diffusion tensor imaging was used to construct brain structure network.The difference between oxygen metabolic before and after the task was compared with paired t test.Pearson correlation analysis was used to analyze the relationship between topological properties and cerebral oxygen metabolic.Results: There was no significant difference in whole cerebral metabolic rate of oxygen and oxygen extraction fraction between rest and task states,but the changes of cerebral blood flow were statistically significant.Any global network characteristics and brain oxygen consumption changes are not a simple linear correlation,and the oxygen extraction fraction and some global neural network parameters negatively correlated,and is exponential correlation.Conclusion: In this study,emerging magnetic resonance imaging methods were used to measure the oxygen metabolic of the whole brain noninvasively.The study shows that the relationship between global topological characteristics and brain oxygen consumption is complex,and the higher of network efficiency,the fewer neurons involved to communicate and process information when performing the same task,the smaller the energy consumption.DTI technique combined with the method of graph analysis is an important imaging method,which can be used to explore the relationship between brain structure connectivity and cerebral oxygen metabolism in diseases related to brain metabolic.