Table 3.
Partial least squares model—flow territory artery density.
| ACA | PCA | MCA | ||||
|---|---|---|---|---|---|---|
| L | R | L | R | L | R | |
| RMSE | 0.1218 | 0.1168 | 0.1478 | 0.1292 | 0.1623 | 0.1234 |
| ICV | − 0.004 | − 0.008 | − 0.004 | − 0.004 | − 0.006 | 0.002 |
| Sex (M = 1; F = 2) | 0.003 | 0.007 | 0.009 | 0.008 | 0.016 | 0.008 |
| Age | − 0.025 | − 0.027 | − 0.038 | − 0.029 | − 0.005 | 0.000 |
| BMI | 0.000 | − 0.001 | − 0.011 | − 0.009 | − 0.018 | − 0.016 |
| WHR | − 0.002 | − 0.005 | − 0.013 | − 0.012 | − 0.022 | − 0.016 |
| Systolic blood pressure | − 0.006 | − 0.009 | − 0.016 | − 0.013 | − 0.015 | − 0.010 |
| Heart rate | 0.002 | 0.002 | 0.005 | 0.004 | 0.003 | 0.003 |
| Drinks per day | 0.000 | − 0.002 | 0.003 | 0.002 | − 0.001 | 0.003 |
| Smoking duration | 0.002 | 0.002 | − 0.001 | − 0.001 | − 0.004 | − 0.005 |
Beta coefficients of the final partial least squares regression model predicting the artery density in the blood flow territories. Italic: p-value < 0.05, Bold: p-value < 0.01. ACA: anterior cerebral artery, PCA: posterior cerebral artery, MCA: middle cerebral artery, L: left, R: right.