中国医疗设备2025，Vol.40Issue(8)：43-51,9.DOI:10.3969/j.issn.1674-1633.20240317
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
Analysis of the Functional Connectivity Characteristics of the Cerebral Cortex Under Different Visual Information Mental Load Tasks
关凯1
作者信息
- 1. 中国电子科技集团公司信息科学研究院,北京 100041
- 折叠
摘要
Abstract
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.关键词
脑力负荷/视觉信息/N-Back/脑电/源定位/功能连接特性分析Key words
mental load/visual information/N-Back/electroencephalogram/source localization/functional connectivity characteristics analysis分类
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关凯..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[J].中国医疗设备,2025,40(8):43-51,9.
