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前额叶-顶叶网络在心算认知活动中的动态调整
Dynamic Adjustment Research of Frontal-Parietal Network in Mental Arithmetic Cognitive Process
【摘要】 目的研究脑功能网络在心算认知过程中的动态调整。资料与方法通过设计一项包含简单加法和减法认知状态的心算试验,对招募的21名受试者进行tfMRI数据采集。通过脑图Dosenbach-160构造加减法认知状态下的脑功能网络。利用图论分析中的典型度量指标计算脑功能网络指标。分析两种心算认知状态的脑功能网络指标的差异性。结果整体脑功能网络在两种心算认知状态下的全局效率、局部效率、聚类系数、度中心性指标在网络稀疏度定义域差异均有统计学意义(P<0.05),占比分别为2%、0%、0%、0%;而前额叶-顶叶网络在两种认知状态下相同的4项指标在网络稀疏度定义域差异均有统计学意义(P<0.05),占比分别为100%、71%、78%、100%。结论在脑图Dosenbach-160整体网络指标未出现显著变化的情况下,其功能子网前额叶-顶叶网络的指标发生了显著变化,表明前额叶-顶叶网络在心算过程中拓扑结构发生了显著的动态调整。
【Abstract】 Purpose To investigate the dynamic adjustment of functional brain network in the cognitive process of mental arithmetic. Materials and Methods A mental arithmetic experiment including cognitive states of simple addition and simple subtraction was designed, and the tfMRI data were collected from the 21 recruited participants. The functional brain networks under the two cognitive states were first constructed based on the brain atlas of Dosenbach-160, and then the indicators of the functional brain networks were calculated by typical metrics in graph theoretical analysis. Finally, the differences between the indicators of functional brain networks of the two cognitive states were statistically tested. Results Under the two mental arithmetic cognitive states, significant differences(P<0.05) in the network sparsity domain can be identified between the global efficiency, the local efficiency, the clustering coefficient, and the degree centrality index of the global functional brain network with each accounting for 2%, 0%, 0% and 0%, respectively. Under the two similar cognitive states, the significant differences(P<0.05) between the same four indicators of the network sparsity domain in the frontal-parietal network represent 100%, 71%, 78% and 100%, respectively. Conclusion In the case that the network indicators of overall atlas Dosenbach-160 have not changed significantly, the network indicators of frontal-parietal network, functional sub-network of Dosenbach-160, have changed significantly. It indicates that the topological structure of frontal-parietal network have been dynamically adjusted during the mental arithmetic cognitive process.
【Key words】 Mathematical computing; Cognition; Magnetic resonance imaging; Neural networks; Frontal lobe; Parietal lobe;
- 【文献出处】 中国医学影像学杂志 ,Chinese Journal of Medical Imaging , 编辑部邮箱 ,2020年05期
- 【分类号】R445.2;R741
- 【被引频次】3
- 【下载频次】146