不同视觉信息脑力负荷任务下的脑皮层功能连接特性分析OA

Objective To study the variation pattern of the functional connectivity characteristics of the cerebral cortex with mental load under different types of visual information mental load tasks.Methods Based on the N-Back paradigm,brain-load tasks of different information types and difficulties were designed.During the task execution,60-channel electroencephalogram(EEG)signals of 18 subjects were synchronously collected.The source location of scalp electroencephalogram signals was carried out based on the sLORETA method,and the Theta and Alpha band cortical EEG functional networks were constructed based on the Pearson correlation method.Statistical analysis methods were used to screen the network nodes and global indicators that showed significant changes with the mental load under each task.Results Among the 4 tasks,the degree values of 6 nodes in 2 frequency bands and the connection strengths of 4 groups of functional connections changed with the variation of mental load,and the differences were statistically significant(P<0.05).With the increase of mental load,the average characteristic path length of the Theta frequency band network decreased from(2.8427±0.0083)to(2.7751±0.0051).The average clustering coefficient and global efficiency increased from(0.3384±0.0018)and(0.4232±0.0015)to(0.3620±0.0020)and(0.4432±0.0017),respectively.Conclusion Functional connectivity indicators of the cerebral cortex can effectively represent the changes in mental load under different visual information memory tasks.