Table 1 Demographic characteristics of the ADNI and NACC cohorts.
From: Generalizable deep learning model for early Alzheimer’s disease detection from structural MRIs
Dataset | ADNI (n = 2619) | NACC (n = 2025) | ||||
|---|---|---|---|---|---|---|
Subject characteristics | CN (n = 782) | MCI (n = 1089) | AD (n = 748) | CN (n = 1281) | MCI (n = 322) | AD (n = 422) |
Age, mean (sd) | 77.3 (5.6) | 76.5 (7.3) | 76.5 (7.3) | 69.1 (9.4)* (p-val < 0.01) | 74.4 (8.5)* (p-val < 0.01) | 73.9 (8.8)* (p-val: < 0.01) |
Sex, n (%) | ||||||
Male | 394 (50.4%) | 659 (60.5%) | 406 (54.3%) | 489 (38.2%)* (p-val < 0.01) | 128 (39.8%)* (p-val < 0.01) | 219 (49.5%) (p-val:0.433) |
Female | 388 (49.6%) | 430 (39.5%) | 342 (45.7%) | 792 (61.8%)* (p-val < 0.01) | 194 (60.2%)* (p-val < 0.01) | 223 (50.5%)* (p-val:0.02) |
Education, average years (sd) | 17.2 (3.1) | 16.7 (3.2) | 16.1 (3.5) | 16.3 (2.6)* (p-val < 0.01) | 15.7 (2.8)* (p-val < 0.01) | 15.1 (3.3)* (p-val < 0.01) |
APOE4, n (%) | 224 (28.6%) | 567 (52.1%) | 496 (66.3%) | 479 (37.4%)* (p-val < 0.01) | 146 (45.3%)* (p-val:0.03) | 202 (45.7%)* (p-val < 0.01) |
