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. 2016 Dec 15;8:292. doi: 10.3389/fnagi.2016.00292

Table 1.

Demographic data and group comparison of cognitive scores, MRI measures and measures of network topology.

Controls MCI t statistic (df); p
Age (yrs.) 74.0 (6.5) 76.8 (7.3) 1.3 (43); 0.19
Education (yrs.) 15 (3) 14 (4) 1.8 (43); 0.08
NART-R IQ 120 (9) 115 (11) 1.8 (43); 0.08
Percentage females 50% 44%
Cognitive measures
Category fluency 39.5 (10.9) 25.6 (7.9) 4.9 (41); <0.001
Verbal fluency 43.2 (13.1) 35.9 (11.3) 1.9 (41); 0.067
Digit symbol substitution 56.5 (18.6) 34.8 (11.9) 4.6 (40); <0.001
Stroop suppression 93.4 (19.1) 57.4 (28.2) 4.7 (40); <0.001
Tower of London rule violations 1.2 (1.7) 5.8 (4.5) 4.2 (41); <0.001
Trails switching 74.0 (31.6) 105.4 (50.7) 2.4 (42); 0.021
FCSRT free recall 29.3 (8.4) 12.1 (9.7) 6.2 (42); <0.001
CRMT face recognition 23.4 (2.8) 20.0 (3.4) 3.6 (41); <0.001
MRI – general measures
NBV (ml) 1,451.4 (57.4) 1,421.7 (57.4) 1.7 (43); 0.091
WML volume (cm) 15.6 (6.7) 19.6 (10.3) 1.5 (41); 0.15
Structural network properties
Global efficiency 0.0260 (0.0021) 0.0239 (0.0036) 2.6 (39.6); 0.014
Mean clustering coefficient 18.1 (1.9) 16.7 (2.3) 2.2 (43); 0.037
Small-worldness 1.90 (0.26) 1.95 (0.28) 0.63 (43); 0.53

Data are shown as mean (SD). A cube root transform was applied to white matter lesion volume. Significant differences (p < 0.05) are highlighted in bold.

MCI – Mild Cognitive Impairment; NART-R – National Adult Reading Test-Revised; FCSRT – Free and Cued Selective Reminding Test; CRMT – Camden Recognition Memory Test; NBV – normalized brain volume; WML – white matter lesion