Table 3.
Degree | C | Eloc | BC | L | Eglob | Q | σ | A | |
---|---|---|---|---|---|---|---|---|---|
MMSE | .46a | .46a | .49a | –.12 | –.51a | .57b | –.59b,c | –.53a | –.17 |
SPM_T | .14 | .22 | .27 | –.22 | –.32 | .25 | –.29 | –.23 | –.33 |
CGWRT | .57b | .62b | .61b | –.27 | –.56b | .63b | –.59b | –.44a | –.24 |
California Verbal Learning Test-II | |||||||||
Imm. Recall | .36 | .46a | .52a | –.15 | –.54a,c | .53a | –.55a | –.52a | –.20 |
LDF Recall | .27 | .36 | .44a | –.25 | –.51a,c | .45a | –.49a | –.52a | –.23 |
Recogn. Discr | .23 | .25 | .33 | –.15 | –.42 | .41 | –.47a,c | –.40 | –.24 |
Brief Visual Memory Test-Revised | |||||||||
Imm. Recall | .38 | .31 | .34 | –.16 | –.47a | .50a | –.62b,c | –.50a | –.31 |
Delay Recall | .29 | .22 | .23 | –.41 | –.37 | .34 | –.46a | –.19 | –.35 |
Recogn. Discr | .51a | .50a | .53a | –.24 | –.58b | .63b,c | –.58b | –.49a | –.41 |
B3D_Total | .42 | .36 | .37 | –.33 | –.49a | .50a | –.51a,c | –.37 | –.43 |
Purdue Pegboard Test | |||||||||
Dominant | –.01 | .06 | .12 | –.02 | –.15 | .16 | –.24 | –.29 | .05 |
Non–dominant | .29 | .30 | .32 | –.20 | –.39 | .48 | –.48a | –.33 | –.15 |
Category Fluency | .34 | .40 | .44a | –.24 | –.46a | .46a | –.36 | –.42 | –.27 |
Design Fluency Test | |||||||||
Filled Dot | .16 | .21 | .27 | .01 | –.30 | .30 | –.33 | –.39 | –.03 |
Empty Dot | .33 | .39 | .41 | –.27 | –.48a | .44a | –.49a | –.39 | –.21 |
Switch | .32 | .46a | .53a | –.29 | –.58a,b | .53a | –.42 | –.38 | –.31 |
p < 0.05 after multiple linear regression analysis.
p < 0.01 after multiple linear regression analysis.
p < 0.05 after multiple linear regression analysis.
MMSE: Mini Mental Status Examination; SPM_T: Raven’s Standard Progressive Matrices; CGWRT: Chinese Graded Word Reading Test; Imm. Recall: Immediate Recall; LDF: Long Delay Free Recall; Recogn. Discr: Recognition Discriminability; Imm. Recall: Immediate; Recogn. Discr: Recognition Discriminability; B3D: Benton 3-Dimensional Construction Praxis Test; PPT: Purdue Pegboard Test; C: clustering coefficient; Eloc: local efficiency; BC: Betweenness centrality; L: characteristic path length; Eglob: global efficiency; Q: modularity; σ: small-worldness; A: assortativity. (All network parameters were analyzed at r-threshold: 0.54.)