Research Article
Characterizing Acupuncture De Qi in Mild Cognitive Impairment: Relations with Small-World Efficiency of Functional Brain Networks
Table 2
Brain areas showing significant difference in nodal centrality.
| | A. Nodal centrality changes for MCI versus healthy controls | | Regions | Normalized betweenness, | | MCI | Healthy controls | | Decreased nodal centrality | | | | PreCN/PCC | 0.9536 | 3.5475 | | Fusiform gyrus | 0.2843 | 1.7431 | | Hippocampus | 0.3302 | 1.8622 | | Superior parietal cortex | 0.8539 | 2.9568 | | Angular gyrus | 0.6735 | 1.7569 | | Increased nodal centrality | | | | Superior frontal gyrus | 4.0174 | 0.1526 | | Ventral medial PFC | 4.1528 | 0.1947 | | Lateral prefrontal cortex | 3.9524 | 0.1751 |
| | B. Nodal centrality changes for MCI DA versus MCI | | Increased nodal centrality | | | | PreCN/PCC | 2.1768 | 0.9536 | | Hippocampus | 1.9244 | 0.3302 | | Postcentral cortex | 2.1192 | 0.7852 | | Anterior cingulate cortex | 3.1568 | 1.4679 |
| | C. Nodal centrality changes for MCI SA versus MCI | | Increased nodal centrality | | | | Premotor cortex | 3.1894 | 1.1295 | | Postcentral cortex | 2.7625 | 0.7852 |
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Abbreviations: PreCN/PCC: precuneus and posterior cingulate cortex; PFC: prefrontal cortex.
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