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©The Author(s) 2025.
World J Psychiatry. Jun 19, 2025; 15(6): 105555
Published online Jun 19, 2025. doi: 10.5498/wjp.v15.i6.105555
Published online Jun 19, 2025. doi: 10.5498/wjp.v15.i6.105555
Table 2 The topological metrics in rumination and distraction states
Rumination state | Distraction state | P value | |
Clustering coefficient | 0.1627 (0.1586, 0.1710) | 0.1653 (0.1605, 0.1775) | 0.002a |
Shortest path length | 0.5825 (0.5777, 0.5891) | 0.5838 (0.5787, 0.6010) | 0.002a |
Global efficiency | 0.1872 (0.1861, 0.1879) | 0.1870 (0.1844, 0.1878) | 0.002a |
Local efficiency | 0.2346 (0.2327, 0.2390) | 0.2359 (0.2340, 0.2415) | 0.002a |
Small-worldness | 0.5849 (0.5643, 0.6059) | 0.5835 (0.5593, 0.6066) | 0.391 |
Modularity | 0.1017 (0.0976, 0.1079) | 0.1051 (0.1017, 0.1128) | 0.015 |
After normalization | |||
Clustering coefficient | 0.6294 (0.5988, 0.6500) | 0.6294 (0.6088, 0.6582) | 0.914 |
Shortest path length | 0.3290 (0.3264, 0.3329) | 0.3295 (0.3276, 0.3379) | 0.003a |
- Citation: Li KN, Tang SX, Tao YF, He HR, Ma MH, Zhang QQ, Huang M, Chen WT, Liang H, Deng AQ, Gao SR, Meng FY, Peng YL, Ju YM, Ou WW, Shu S, Zhang Y. Neural correlates of rumination in remitted depressive episodes: Brain network connectivity and topology analyses. World J Psychiatry 2025; 15(6): 105555
- URL: https://www.wjgnet.com/2220-3206/full/v15/i6/105555.htm
- DOI: https://dx.doi.org/10.5498/wjp.v15.i6.105555