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. 2018 Sep 5;40(1):284–292. doi: 10.1002/hbm.24372

Table 3.

Classification results of the LSVM classifier between MOr and MOp

Features from diffusion measures Number of overlapped features Accuracy (%) Sensitivity (%) Specificity (%) PPV (%) NPV (%)
FA 1,325 69.2 76.5 60.5 69.6 68.4
MD 663 62.8 70.6* 53.5 64.3 60.5
AD 0 30.9 38.5 25.5 26.8 36.8
RD 1,325 64.9* 74.5* 55.3 62.5 68.4*
FA&MD 1839 78.7** 87.5* 69.6* 75.0* 84.2**
FA&RD 2,286 74.5** 83.3* 65.2 71.4* 78.9*
MD&RD 1,606 84.0*** 90.2** 76.7** 82.1** 86.8**
FA&MD&RD 2,758 84.0*** 90.2*** 76.7*** 82.1*** 86.8***
FA&MD&AD&RD 2,758 84.0*** 90.2*** 76.7*** 82.1*** 86.8***
*

p < .01.

**

p < .005.

***

p < .001, with 5,000 permutation tests

AD = axial diffusivity; FA = fractional anisotropy; MD = mean diffusivity; MOr = migraine without aura, recovering; MOp = migraine without aura, persisting; NPV = negative predictive value; PPV = positive predictive value; RD = radial diffusivity.