Table 1 Demographic and clinical characteristics of the 64 participants
From: Multimodal MRI-based classification of migraine: using deep learning convolutional neural network
Variables (mean ± SD) | MWoA | MWA | HC | p-value | ||
|---|---|---|---|---|---|---|
MWoA vs. HC | MWA vs. HC | MWoA vs. MWA | ||||
Sex (male/female) | 7/14 | 4/11 | 13/15 | 0.366 | 0.216 | 0.679 |
Age (years) | 29.67 ± 6.45 | 32.2 ± 7.68 | 31.57 ± 6.72 | 0.323 | 0.782 | 0.291 |
Education (years) | 16.90 ± 4.40 | 15.07 ± 1.98 | 16.36 ± 2.87 | 0.601 | 0.129 | 0.141 |
24-HAMD | 5.95 ± 6.76 | 8.73 ± 5.13 | 3.57 ± 2.41 | 0.012 | 0.002 | 0.190 |
14-HAMA | 4.28 ± 5.53 | 7.47 ± 6.13 | 2.07 ± 2.38 | 0.031 | 0.005 | 0.113 |