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. 2019 Apr 26;11:95. doi: 10.3389/fnagi.2019.00095

Table 2.

Demographics and neuropsychological characteristics of data sets for machine learning analyses.

Mild Change (N = 461)
Moderate Change (N = 435)
Severe Change (N = 476)
Aβ + Aβ - Sig. Aβ + Aβ - Sig. Aβ + Aβ - Sig.
(N = 183) (N = 278) (N = 232) (N = 203) (N = 322) (N = 154)
Age 74.7 (6.7) 71.8 (6.4) 0.000 73.5 (6.8) 71.1 (7.1) 0.000 73.9 (7.5) 71.3 (8.1) 0.001
Education 16.0 (2.7) 16.7 (2.4) 0.003 16.3 (2.8) 16.6 (2.4) 0.162 16.0 (2.7) 16.5 (2.4) 0.044
Gender: female 98 (46%) 131 (47%) 0.177 114 (49%) 95 (47%) 0.626 144 (45%) 65 (42%) 0.605
APOE 𝜀4: positive 99 (54%) 63 (23%) 0.000 156 (67%) 45 (22%) 0.000 233 (72%) 89 (59%) 0.000
LM Immediate Recall 12.5 (3.3) 13.4 (3.1) 0.017 9.3 (4.0) 11.6 (3.5) 0.000 6.7 (3.9) 9.7 (3.3) 0.000
LM Delayed Recall 11 (3.2) 12.2 (3.3) 0.000 6.8 (4.3) 9.7 (3.7) 0.000 4.1 (3.7) 7.3 (3.1) 0.000
AVLT Total 40.9 (10.3) 44.8 (11.1) 0.005 35.5 (10.7) 41.9 (11.6) 0.000 29.2 (10.8) 38.2 (12.2) 0.000
AVLT List B 4.5 (1.9) 5.3 (2.0) 0.004 4.1 (1.8) 4.9 (1.9) 0.000 3.5 (1.7) 4.6 (1.9) 0.000
AVLT Delayed Recall 5.9 (3.9) 7.4 (4.2) 0.003 4.0 (3.9) 6.4 (4.3) 0.000 2.3 (3.2) 5.3 (4.3) 0.000
AVLT Recognition 12.1 (2.6) 12.6 (2.6) 0.125 10.8 (3.3) 12.2 (2.8) 0.000 8.9 (4.1) 11.4 (3.2) 0.000
CLOCK Drawing 4.5 (0.7) 4.7 (0.6) 0.331 4.4 (0.9) 4.6 (0.7) 0.045 3.9 (1.3) 4.4 (0.9) 0.000
CLOCK Copy 4.8 (0.5) 4.8 (0.4) 0.253 4.7 (0.7) 4.8 (0.5) 0.018 4.5 (0.9) 4.7 (0.6) 0.005
Category Fluency (Animals) 19.3 (5.6) 20.5 (5.3) 0.306 17.5 (5.4) 19.5 (4.9) 0.002 15 (5.7) 18.5 (5.3) 0.000
Boston Naming Test 27.4 (2.6) 28.1 (2.5) 0.070 26.3 (3.6) 27.8 (2.5) 0.000 24.3 (5.2) 27 (3.5) 0.000
TMT A (seconds) 37.1 (14.8) 33.1 (11.3) 0.028 40.3 (18.6) 35.2 (13.5) 0.012 49.5 (28.6) 37.1 (14.1) 0.000
TMT B (seconds) 98.3 (52.6) 82.9 (44) 0.069 114.5 (68) 90.6 (47.4) 0.002 138.7 (89.7) 98.9 (58) 0.000
ANART (# of Errors) 11.1 (8.6) 9.8 (7.4) 0.806 12.0 (9.5) 11.3 (8.0) 0.961 14.0 (9.8) 12.1 (8.7) 0.301
MOCA 23.6 (2.9) 24.1 (1.9) 0.142 23.2 (3.0) 23.8 (2.0) 0.070 21.3 (4.2) 23.2 (2.8) 0.000
ADAS-Cog 13 12.0 (5.4) 9.6 (4.9) 0.000 16.4 (7.4) 11.4 (5.7) 0.000 22.9 (10.4) 14.4 (7.7) 0.000
MMSE 28.6 (1.5) 28.9 (1.4) 0.100 27.8 (1.8) 28.7 (1.4) 0.000 25.8 (3.0) 27.9 (2.3) 0.000

ADAS-Cog 13, 13 item version of the cognitive subscale of the Alzheimer’s Disease Assessment Scale-Cog; ANART, American National Adults Reading Test; APOE 𝜀4, apolipoprotein epsilon 4 allele carrier; AVLT, Rey Auditory Verbal Learning Test; LM, logical memory; MMSE, mini-mental status examination; MOCA, montreal cognitive assessment; TMT, Trail Making Test. Count (%) or mean (standard deviation). Comparisons for cognitive performances were adjusted for age, gender and education. P-values are from F-tests and Pearson chi-square tests. Significant p-values are highlighted in bold.